WO2012129937A1 - 一种多基站多用户下行传输的分布式预处理方法和系统 - Google Patents
一种多基站多用户下行传输的分布式预处理方法和系统 Download PDFInfo
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- WO2012129937A1 WO2012129937A1 PCT/CN2011/084208 CN2011084208W WO2012129937A1 WO 2012129937 A1 WO2012129937 A1 WO 2012129937A1 CN 2011084208 W CN2011084208 W CN 2011084208W WO 2012129937 A1 WO2012129937 A1 WO 2012129937A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/022—Site diversity; Macro-diversity
- H04B7/024—Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0417—Feedback systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03891—Spatial equalizers
- H04L25/03898—Spatial equalizers codebook-based design
- H04L25/03904—Spatial equalizers codebook-based design cooperative design, e.g. exchanging of codebook information between base stations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0032—Distributed allocation, i.e. involving a plurality of allocating devices, each making partial allocation
- H04L5/0035—Resource allocation in a cooperative multipoint environment
Definitions
- the present invention belongs to the field of wireless communication technologies, and in particular, to a distributed preprocessing method and system for multi-base station multi-user downlink transmission. Background technique
- MIMO Multiple Input Multiple Output
- SU-MIMO single-user MIMO
- MU-MIMO multi-user MIMO
- the SU-MIMO corresponds to a time-frequency resource of the base station and the user terminal, and the base station communicates with a single user terminal on a specific time-frequency resource through multiple antennas.
- SU-MIMO single-user MIMO
- MU-MIMO multi-user MIMO
- the SU-MIMO corresponds to a time-frequency resource of the base station and the user terminal, and the base station communicates with a single user terminal on a specific time-frequency resource through multiple antennas.
- MU-MIMO as the number of users increases, the base station simultaneously communicates with multiple different user terminals on the same time-frequency resource through multiple antennas, which can simultaneously improve the communication capability between the base station and multiple users.
- the base station uses only its own antenna to communicate with a single or multiple users.
- the MIMO communication of the user can be reasonably considered by the base station of the current cell and other base stations with good communication quality, the communication capability of the user must be improved compared to the single base station service,
- This multi-base station distributed MU-MIMO has received widespread attention at present. Specifically, the multi-base station distributed MU-MIMO uses multiple neighboring base stations to communicate with multiple user terminals on the same time-frequency resource.
- MIMO precoding is required before the data is transmitted from the antenna.
- the precoding technique is designed to preprocess the transmitted signal by using Channel-Aide Information at the Transmitter (CSIT).
- CSIT Channel-Aide Information at the Transmitter
- the signal beam points to the "direction" that is most beneficial to the user's reception, thereby achieving interference suppression to improve the user's received signal-to-noise ratio.
- PMI Precoding Matrix Indicator
- an aspect of the present invention provides a distributed preprocessing method for multi-base station multi-user downlink transmission, including:
- Each participating control station sends measurement signals to K terminals, K is greater than or equal to 1; each terminal receives measurement signal generation measurement signal feedback information from the control station and sends it to each participating control station;
- Each participating control station receives measurement signal feedback information from the terminal, calculates a precoding matrix, and generates precoding information to be transmitted to each terminal;
- Each terminal receives precoding information from each control station, and adjusts the precoding information, and feeds the adjusted precoding information to each control station;
- Each control station determines the precoding matrix again according to the adjusted precoding information fed back by the terminal, and the downlink signal is processed by the precoding matrix and then sent to the terminal to implement downlink data transmission from the base station to the terminal.
- Another aspect of the present invention provides a distributed pre-processing system for multi-base station multi-user downlink transmission, including a plurality of control stations and K terminals participating in the cooperation, where K is greater than or equal to 1, and further includes:
- a measurement signal sending module configured to implement each of the participating control stations to send measurement signals to K terminals, where K is greater than or equal to 1;
- a measurement signal feedback information generating and transmitting module configured to receive a measurement signal from the control station, generate measurement signal feedback information, and separately send to each control station participating in the cooperation;
- a precoding matrix calculation and precoding information generating module configured to receive measurement signal feedback information from the terminal, calculate a precoding matrix, and generate precoding information to be sent to each terminal;
- a precoding information adjustment and feedback module configured to receive precoding information from each control station, and adjust precoding information, and feed the adjusted precoding information to each control station;
- the precoding matrix determining module is configured to determine the precoding matrix again, so that the downlink signal is processed by the precoding matrix and then sent to the terminal to implement downlink base station to terminal user data transmission.
- the present invention adopts the distributed precoding technology, does not require information exchange between base stations, improves the gain of the user of the cell, and suppresses interference to neighboring cell users, and expands the distribution of multiple base stations to a certain extent.
- the communication capabilities of users in MU-MIMO improve the performance of the entire network.
- FIG. 1 is a schematic diagram of an application scenario of a wireless communication network according to an embodiment of the present invention
- FIG. 3 is a flow chart of a preferred embodiment of the present invention when it relates to a data stream
- Each control station participating in cooperation sends a measurement signal to K terminals, K is greater than or equal to 1; each terminal receives measurement signal from the control station to generate measurement signal feedback information is sent to each a control station participating in the cooperation; each participating control station receives measurement signal feedback information from the terminal, calculates a precoding matrix and generates precoding information to be transmitted to each terminal; each terminal receives precoding information from each control station, And precoding the precoding information, and feeding back the adjusted precoding information to each control station; each control station determines the precoding matrix again according to the adjusted precoding information fed back by the terminal, and the downlink signal passes through the precoding matrix. After processing, it is sent to the terminal to implement user data transmission from the downlink base station to the terminal.
- FIG. 1 is a schematic diagram of a wireless communication network application scenario using a multi-base station distributed MU-MIMO precoding technique according to an embodiment of the present invention.
- Step 1 The base station sends a measurement signal to the user terminal.
- each base station separately sends a measurement signal to the user terminals, where the measurement signal includes auxiliary information for determining channel related information of the base station to the user terminal, and the auxiliary information of the channel related information may be according to the measurement signal.
- Reference information such as RS, reference signal
- pilot etc.
- channel coefficient matrix H obtained by channel estimation.
- Step 2 The user terminal receives the measurement signal from the base station, and generates measurement signal feedback information, which are respectively sent to each base station; Specifically, the first user terminal receives measurement signals from all base stations to the user terminal, and determines, according to the auxiliary determination information (which may be reference information, such as RS) in the measurement signal, each base station to the first user respectively.
- auxiliary determination information which may be reference information, such as RS
- the user terminal generates corresponding measurement signal feedback information according to the downlink channel information according to the downlink channel information of each base station to the user terminal, and feeds back to each base station.
- the measurement signal feedback information mainly refers to PMI (Precoding Matrix Indication/Index) information or PMI (Preferred Matrix Indication/Index) that is most closely matched to the channel information reported by the user terminal. , referred to as PMI information.
- Step 3 Each base station receives feedback information from the user terminal, initially determines a precoding matrix, and generates precoding information to send to the user terminal.
- each base station receives feedback information from each user terminal, and each base station uses the PMI information fed back by the paired MU-MIMO user to calculate a precoding matrix corresponding to each user, and obtain corresponding precoding information, and The information is notified to each user terminal, and the precoding information generally refers to precoding matrix indication (PMI) information corresponding to the precoding matrix.
- PMI precoding matrix indication
- the paired MU-MIMO user refers to a user scheduled on the same time-frequency resource, and the base station coordinates the downlink precoding matrix of the user terminal by pairing the PMI fed back by the MU-MIMO user to achieve suppression of co-channel interference.
- the base station may notify the user terminal of the precoding information by using a downlink control channel or a broadcast channel or a data traffic channel;
- the precoding information may be a precoding matrix obtained by the base station after the calculation; wherein the precoding information may be when the precoding matrix is quantized into a codeword in a system preset codeword set, the codeword The corresponding index value.
- Step 4 Each user terminal receives precoding information from each base station, and adjusts the precoding information, and then re-feeds the adjusted precoding information to each base station;
- the user terminal receives downlink precoding information of each user to the user, and the N base stations in the communication network transmit the same signal.
- the data received by the user may be expressed as:
- H denotes the channel coefficient matrix between the first base station and the first user, indicating the precoding matrix between the i-th base station and the first user
- the base station When the base station accurately obtains the channel coefficient H ik , in order to avoid the multi-base station to the user terminal signals cancel each other, thereby obtaining the combining gain brought by the multiple base stations, the coherence combining needs to be achieved, that is, the H ⁇ i ⁇
- Each column vector of the precoding matrix ⁇ is phase adjusted.
- Solution ⁇ When the number of data streams is 1, the precoding matrix is a matrix of Mxl, that is, a precoding vector, and only these pre-codings are needed.
- Scheme B When the number of data streams is >1, the precoding matrix is a matrix of Mx, and each phase corresponding to the precoding matrix (the column vector of the precoding matrix) needs to be phase-adjusted, and the obtained new H ⁇ U is made.
- the corresponding data stream has the same phase, where ⁇ / ⁇ ( ,..., is the moment
- Mode b Neither takes the unit matrix I, that is, does not reference the phase of each column vector of any H i ⁇ , but gives a reference phase for the corresponding column vector of each matrix, that is, all ⁇ ⁇ needs to be adjusted. Finally, all ⁇ ⁇ ⁇ ⁇ ⁇ 'J are the same. There are two options for adjusting the base station based on user feedback:
- Manner 1 The user terminal feeds back the adjustment angle of each column of each precoding matrix to each corresponding base station;
- Method 2 Generate PMI information according to the adjusted precoding matrices, and feed back the PMI information to the corresponding base stations.
- Step 5 Each base station determines a precoding matrix according to the adjusted precoding information fed back by the user, and the downlink signal is processed by the precoding matrix and then sent to the user terminal to implement downlink data communication.
- the specific embodiment is further used in the following. The method of the invention is illustrated.
- the following embodiments 1-2 are used to illustrate the case where two base stations have two users, wherein the downlink data stream is one distributed precoding.
- the downlink data stream is one distributed precoding.
- FIG. 1 there are two base stations BS1 and BS2 in the network structure, and two user terminals MS1 and MS2. Taking the user terminal MS1 as an example, the two base stations BS1 and BS2 are jointly served for two users MS1 and MS2, and the process of downlink communication is implemented by distributed precoding.
- the base station BS1 and the base station BS2 send measurement signals to the user MS1 and the user MS2. Then, the MS1 determines the downlink channel information H u of the BS1 to the MS1 by receiving the measurement signal of the BS1, and calculates the downlink of the BS1 to the MS1 according to the channel information. a precoding vector ⁇ of the path, and then generating precoding information PM/u according to the precoding vector to the base station BS1;
- the MS1 determines the downlink channel information H 21 of the BS2 to the MS1 through the received measurement signal of the BS2, and calculates a precoding vector 21 of the BS2 to the MSI downlink according to the channel information, and generates precoding information PM according to the precoding vector. / 21 feedback to the base station BS2;
- the user terminal MS2 feeds back the precoding information PM/ 12 to the base station BS1, and the user terminal MS2 feeds back the precoding information PM/ 22 to the base station BS2.
- the base station BS1 feeds back the PM/u of the BS1 and the user MS2 fed back to the PM/ 12 of the BS1, coordinates the PMI to suppress the co-channel interference, and determines their optimal precoding vectors, respectively, and obtains the coordinated
- the new PM/u is sent to MS1 and the new PM/ 12 is sent to MS2.
- BS2 sends the corresponding coordinated PMI to MS1 and MS2.
- Embodiment 1 It is used to describe the case where two base stations and two users downlink transmit one data stream, and the distributed precoding of mode a and mode 1 is adopted.
- a two-base station is used as an example to transmit a data stream, which illustrates the process of implementing downlink data transmission by using mode 1 and mode a distributed precoding.
- the user terminal MS1 receives the precoding information from the base stations BS1, BS2, and the corresponding new precoding vector is ⁇ and the precoding vector of BS2 to MS1 is W 21 .
- the feedback content can adopt mode 1, that is, the user terminal only needs to feed back the adjustment angle of the base station BS2 to the base station BS2.
- Each base station determines a precoding matrix according to the adjusted precoding information fed back by the user, and the downlink signal is processed by the precoding matrix and then sent to the user terminal to implement downlink data communication.
- Embodiment 2 It is used to describe the case where two base stations and two users downlink transmit one data stream, and the distributed precoding of mode b and mode 2 is adopted.
- a data flow is transmitted by using two users of the two base stations as an example to illustrate the process of implementing downlink data transmission by adopting mode 2 and mode b distributed precoding.
- the user terminal MS1 receives the precoding information from the base stations BS1, BS2, and the corresponding new precoding vector is ⁇ and the precoding vector of BS2 to MS1 is W 21 .
- the precoding vector can be adjusted by using mode b, that is, ⁇ ⁇ , satisfy: H u u' and H 21 21 ' ⁇ ⁇ ; Standing.
- the feedback content may adopt mode 2, that is, the user terminal generates new PMI information according to ⁇ ', and feeds back to the base station BS1, and the BS1 determines that the precoding vector is ⁇ ' according to the PMI information fed back by the new MS1; the user terminal generates a new PMI according to ⁇ ' The information is fed back to the base station BS2.
- BS2 determines that the precoding vector is 21 ' according to the PMI information fed back by the new MS1.
- Each base station determines a precoding matrix according to the adjusted precoding information fed back by the user, and the downlink signal is processed by the precoding matrix and then sent to the user terminal to implement downlink data communication.
- the following embodiments 3-4 are used to describe three base stations and three users, where the downlink data stream is one. The case of cloth precoding.
- BS1, BS2 and BS3 there are three base stations BS1, BS2 and BS3 and three user terminals MS1, MS2 and MS3 in the network structure.
- BS1, BS2, and BS3 jointly serve MSI, MS2, and MS3, and implements downlink communication through distributed precoding.
- the base stations BS1, BS2, and BS3 transmit measurement signals to the user MS1, the user MS2, and the user MS3.
- the MS1 determines the downlink channel information H u of the BS1 to the MS1 by receiving the measurement signal of the BS1, and calculates a precoding vector of the downlink of the BS1 to the MS1 according to the channel information, and generates precoding information according to the precoding vector. PM/u feedback to the base station BS1;
- MS1 received by BS2, BS3, BS2 to MS1 determines the downlink channel information of the channel H 21, downlink channel information MSI to BS3 H 31.
- the BS2 to MS1 downlink precoding vector 21 is then calculated based on the channel information, and then the BS3 to MS1 downlink precoding vector is calculated based on the channel information. Then, according to the precoding vector, the precoding information W/ 21 is fed back to the base station BS2, and 31 is fed back to the base station BS3;
- the user terminal MS2 feeds back the precoding information PM/ 12 to the base station BS1, the feedback precoding information PM/ 22 to the base station BS2, and the feedback precoding information PM/ 32 to the base station BS3; the user terminal MS3 feeds back the precoding information.
- the PMI is to the base station BS1, the user terminal MS3 feeds back the precoding information PM/ 23 to the base station BS3, and the user terminal MS3 feeds back the precoding information PM/ 33 to the base station BS3.
- the base station BS1 feeds back to the PMI U and the user MS2 fed back to the BS1 according to the user MS1.
- the PMI l2 of the BS1 and the user MS3 feed back to the ⁇ of the BS1, coordinate the PMI to suppress the co-channel interference, and determine their optimal precoding vectors respectively, and send the coordinated new ⁇ / consult to the MS1 and the new PMI l2 to MS2, new ⁇ is sent to MS3.
- BS2, BS3 send the corresponding ⁇ to MS1 and MS2, MS3.
- Embodiment 3 It is used to describe the case where the three base station three-user downlink transmission data stream is a distributed pre-coding method using mode b and mode 1.
- a three-base station and three users are taken as an example to transmit a data stream, which illustrates a process of implementing downlink data transmission by using mode b and mode 1 distributed precoding.
- the user terminal MS1 receives the precoding information from the base stations BS1, BS2 and BS3, and the corresponding new precoding vectors are i, W 2L and 31 , respectively.
- ⁇ 5 satisfy: H N W N , H 2L W 2l e M and H 3 , 31 ' have the same phase. After the adjustment of the user terminal is completed, it needs to be fed back to the base station again.
- Mode 1 can be adopted, that is, the user terminal feeds back the adjustment angle of the base station BS2 to the base station BS2 and the adjustment angle of the base station BS3 to the base station BS3.
- Each base station determines a precoding matrix according to the adjusted precoding information fed back by the user, and the downlink signal is processed by the precoding matrix and then sent to the user terminal to implement downlink data communication.
- Embodiment 4 It is used to describe the case where the three base station three-user downlink transmission data stream is a distributed pre-coding method using modes a and 2.
- a three-base station and three users are taken as an example to transmit a data flow, which illustrates a process of implementing downlink data transmission by using mode 2 and mode a distributed pre-coding.
- the user terminal MS1 receives the precoding information from the base stations BS1, BS2 and BS3, and the corresponding new precoding vectors are i, W 2L and 31 , respectively.
- Mode 2 that is, the user terminal generates new PMI information according to ⁇ ', and feeds back to the base station BS1, and the BS1 determines that the precoding vector is ⁇ ' according to the PMI information fed back by the new MS1; the user terminal generates a new one according to 21 ', ⁇ '
- the PMI information is fed back to the base stations BS2, BS3, respectively.
- BS2 and BS3 respectively determine that the precoding vector is 21 ', 31 ' according to the new PMI information fed back by the MSI.
- Each base station determines a precoding matrix according to the adjusted precoding information fed back by the user, and the downlink signal is processed by the precoding matrix and then sent to the user terminal to implement downlink data communication.
- MS2 Taking the user terminal MSI as an example, it describes that BS1, BS2, and BS3 jointly serve MS1, MS2, and MS3, and implements downlink communication through distributed precoding.
- the base stations BS1, BS2 and BS3 transmit measurement signals to the users MS1, MS2 and MS3.
- the MS1 determines the downlink channel information Hu of the BS1 to the MS1 by receiving the measurement signal of the BS1, and calculates a precoding matrix of the downlink of the BS1 to the MS1 according to the channel information, and generates precoding information PM according to the precoding matrix. /u feedback to the base station BS1;
- the MS1 determines the downlink channel information H 21 , BS3 of the BS2 to the MSI, and the downlink channel information H 31 of the MSI through the received BS2 and BS3.
- the BS2 to MS1 downlink precoding matrix 21 is then calculated based on the channel information, and then the BS3 to MS1 downlink precoding matrix 31 is calculated based on the channel information.
- BS2, 31 is fed back to the base station BS3; after the same process as the above MS1, the user terminal MS2 feeds back the precoding information PM/ 12 to the base station BS1, the feedback precoding information PM/ 22 to the base station BS2, and the feedback precoding information PM/ 32 to the base station.
- the base station BS1 feeds back to the PMI U of the BS1 and the user MS2 fed back to the PM/ 12 of the BS1 according to the user MSI, coordinates the PMI to suppress the co-channel interference, thereby respectively determining their optimal precoding matrix, and will obtain new cooperation through coordination.
- the PMIu is sent to the MS 1, and the new PMI U is sent to the MS2.
- BS2 and BS3 send corresponding new PMIs to MS1 and MS2.
- Embodiment 5 It is used to describe the case where two users of three base stations transmit two data streams in the downlink, and adopt the distributed precoding of mode a and mode 1.
- the two users of the three base stations are taken as an example to describe the process of transmitting the downlink data transmission by using the distributed precoding of the two data streams by using mode b and mode 1.
- the user terminal MS1 receives the precoding information from the base stations BS1, BS2 and BS3, and since the data of the two streams is transmitted, the precoding matrix is not a vector.
- the corresponding new precoding matrices are u, 21 and 31 respectively .
- Mode 1 that is, the user terminal adjusts the angle of the corresponding data stream of the base station BS2, quantizes the feedback to the base station BS2, adjusts the corresponding data stream of the base station BS3, and quantizes the signal to the base station BS3.
- Each base station determines a precoding matrix according to the adjusted precoding information fed back by the user, and the downlink signal is processed by the precoding matrix and then sent to the user terminal to implement downlink data communication.
- Embodiment 6 It is used to describe two users of three base stations, two data streams are downlinked, and the distributed precoding of mode b and mode 2 is adopted. Please refer to Figure 1 and Figure 4.
- the two users of the three base stations are taken as an example to describe the process of transmitting the downlink data transmission by using the distributed precoding of the two data streams by using mode a and mode 2.
- the user terminal MS1 receives the precoding information from the base stations BS1, BS2 and BS3, and since the data of the two streams is transmitted, the precoding matrix is not a vector.
- the corresponding new precoding matrices are u, 21 and 31 respectively .
- Mode 2 that is, the user terminal generates new ⁇ information according to ⁇ ', and feeds back to the base station BS1, and the BS1 calculates the precoding matrix according to the ⁇ information fed back by the new MS1; the user terminal generates a new according to 21 ', ff 31 '
- the PMI information is fed back to the base stations BS2, BS3, respectively.
- BS2 and BS3 respectively calculate the corresponding precoding matrix according to the PMI information fed back by the MSI, that is, 21 ', W 3l '.
- Each base station determines a precoding matrix according to the adjusted precoding information fed back by the user, and the downlink signal is processed by the precoding matrix and then sent to the user terminal to implement downlink data communication.
- the distributed pre-processing system for multi-base station multi-user downlink transmission of the present invention includes a plurality of control stations and K terminals participating in cooperation, wherein K is greater than or equal to 1, and further includes: a measurement signal sending module, configured to implement each Control stations participating in the collaboration send measurement signals to K terminals, ⁇ greater than or equal to 1;
- a measurement signal feedback information generating and transmitting module configured to receive a measurement signal from the control station, generate measurement signal feedback information, and separately send to each control station participating in the cooperation;
- a precoding matrix calculation and precoding information generating module configured to receive measurement signal feedback information from the terminal, calculate a precoding matrix, and generate precoding information to be sent to each terminal;
- a precoding information adjustment and feedback module configured to receive precoding information from each control station, and adjust precoding information, and feed the adjusted precoding information to each control station;
- the precoding matrix determining module is configured to determine the precoding matrix again, so that the downlink signal is processed by the precoding matrix and then sent to the terminal to implement downlink base station to terminal user data transmission.
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Description
一种多基站多用户下行传输的分布式预处理方法和系统 技术领域
本发明属于无线通信技术领域, 具体涉及一种多基站多用户下行传输 的分布式预处理方法和系统。 背景技术
收发两端采用多根天线来提高系统性能的多输入多输出技术( MIMO, Multiple Input Multiple Output ) 已经被广泛用于各种 3G/B3G/4G等系统中。 在 MIMO技术应用领域, 有单用户 MIMO ( SU-MIMO )和多用户 MIMO ( MU-MIMO )。其中 SU-MIMO是将基站和用户终端的时频资源——对应 , 基站通过多天线在特定的时频资源上与单个用户终端进行通信。 而 MU-MIMO,是随着用户数量的增多,基站通过多天线在相同的时频资源上 同时与多个不同的用户终端进行通信, 能够同时提高基站和多个用户之间 的通信能力。 但是, 无论是上述 SU-MIMO还是 MU-MIMO, 绝大多数研 究都局限于基站仅使用自身的天线与单个或者多个用户进行通信的情形。 而在许多无线通信网络中, 如果用户的 MIMO通信同时能够由本小区的基 站和邻近的通信质量也较好的其他基站合理考虑, 那么用户的通信能力相 比于单基站服务一定有所提高, 因此这种多基站分布式 MU-MIMO在目前 得到了广泛的关注。 具体的说, 多基站分布式 MU-MIMO是使用多个邻近 基站与多个用户终端在相同时频资源上进行通信。
一般来说, 在数据从天线发射之前, 需要进行 MIMO预编码, 预编码 技术是一种旨在利用发射端信道信息( CSIT, Channel-Aide Information at the Transmitter, )对发射信号进行预处理, 将信号波束指向最有利于用户接收 的 "方向", 从而实现干扰抑制以提高用户的接收信噪比。 对于闭环空间复
用传输, 就是根据用户上报预编码矩阵指示 (PMI , Precoding Matrix Indicator ), 选择基于码本的预编码矩阵的技术。
在当前的蜂窝小区无线通讯网络中, 多个基站为相同用户服务时, 需 要综合考虑各个基站到用户的信道, 选择最合适的预编码矩阵。 现有的多 点协作 ( CoMP, Coordinated multipoint transmission/reception )技术是通过 基站之间交互信息来实现。 但是, 对于多基站分布式 MU-MIMO, 每个参 与通信的基站需要获取每个用户到所有基站之间的信道信息, 其信息的传 输量非常大, 这对上行信道以及基站之间接口是一个巨大的挑战, 尤其考 虑到基站距离比较远的情况, 这些基站之间很难实现信息交互。 所以, 为 了提高小区边缘用户的性能, 实现干扰避免和最大化传输, 不依赖于基站 之间信息交互并能实现干扰抑制的分布式预处理技术成为当前十分迫切解 决的问题。 发明内容
为解决上述技术问题, 本发明一方面提供了一种多基站多用户下行传 输的分布式预处理方法, 包括:
每个参与协作的控制站发送测量信号到 K个终端, K大于等于 1 ; 每个终端接收来自控制站的测量信号生成测量信号反馈信息分别发送 给每个参与协作的控制站;
每个参与协作的控制站接收来自终端的测量信号反馈信息, 计算预编 码矩阵并生成预编码信息发送给每个终端;
每个终端接收来自各控制站的预编码信息, 并对预编码信息进行调整, 将调整后的预编码信息反馈给各控制站;
每个控制站根据终端反馈的调整后的预编码信息, 再次确定预编码矩 阵, 下行信号经所述预编码矩阵处理后发送至终端, 实现下行基站到终端 的用户数据传输。
本发明另一方面提供了一种多基站多用户下行传输的分布式预处理系 统, 包括若干参与协作的控制站和 K个终端, 其中, K大于等于 1 , 此外 还包括:
测量信号发送模块,用于实现每个参与协作的控制站发送测量信号到 K 个终端, K大于等于 1 ;
测量信号反馈信息生成和发送模块, 用于接收来自控制站的测量信号 生成测量信号反馈信息并分别发送给每个参与协作的控制站;
预编码矩阵计算及预编码信息生成模块, 用于接收来自终端的测量信 号反馈信息, 计算预编码矩阵并生成预编码信息发送给每个终端;
预编码信息调整及反馈模块, 用于接收来自各控制站的预编码信息, 并对预编码信息进行调整 , 将调整后的预编码信息反馈给各控制站;
预编码矩阵确定模块, 用于再次确定预编码矩阵, 以使下行信号经所 述预编码矩阵处理后发送至终端, 实现下行基站到终端的用户数据传输。
通过以上技术方案, 本发明由于采用了分布式预编码技术不需要基站 之间信息交互, 提高本小区用户的增益的同时, 抑制对邻小区用户的干扰, 在一定程度上扩大了多基站分布式 MU-MIMO中用户的通信能力, 提升了 整个网络的性能。 附图说明
此处所说明的附图用来提供对本发明的进一步理解, 构成本发明的一 部分, 本发明的示意性实施例及其说明用于解释本发明, 并不构成对本发 明的不当限定。 在附图中:
图 1为涉及本发明实施例无线通信网络应用场景示意图;
图 2为本发明实施例技术方案流程图;
图 3为本发明涉及一个数据流时的较佳实施例流程图;
图 4为本发明涉及多个数据流时的另一较佳实施例流程图。
具体实施方式 本发明的基本思想是: 每个参与协作的控制站发送测量信号到 K个终 端, K大于等于 1 ; 每个终端接收来自控制站的测量信号生成测量信号反馈 信息分别发送给每个参与协作的控制站; 每个参与协作的控制站接收来自 终端的测量信号反馈信息, 计算预编码矩阵并生成预编码信息发送给每个 终端; 每个终端接收来自各控制站的预编码信息, 并对预编码信息进行调 整, 将调整后的预编码信息反馈给各控制站; 每个控制站根据终端反馈的 调整后的预编码信息, 再次确定预编码矩阵, 下行信号经所述预编码矩阵 处理后发送至终端, 实现下行基站到终端的用户数据传输。
为了使本发明所要解决的技术问题、 技术方案及有益效果更加清楚、 明白, 以下结合附图和实施例, 对本发明进行进一步详细说明。 应当理解, 此处所描述的具体实施例仅仅用以解释本发明, 并不用于限定本发明。
图 1示出了根据本发明实施例的采用多基站分布式 MU-MIMO预编码 技术的无线通信网络应用场景示意图。
对于 MU-MIMO多个基站传输,其中,基站即控制站,考虑有 N( N > 1 ) 个基站,同时为 Κ( Κ≥\ )个用户传输数据的情况,这里针对用户 /^ = 1,· · ·, , 对本发明的技术方案进行详细的描述:
步驟 1 : 基站发送测量信号到用户终端;
具体的, 每个基站分别发送测量信号到 Κ个用户终端, 所述测量信号 包括用于确定本基站至用户终端的信道相关信息的辅助信息, 该信道相关 信息的辅助信息可以是根据测量信号中的参考信息(如 RS, reference signal ) 或导频等, 通过信道估计获得的信道系数矩阵 H。
步驟 2:用户终端接收来自基站的测量信号 ,并生成测量信号反馈信息 , 分别发送给各基站;
具体的, 第 个用户终端接收来所有基站到该用户终端的测量信号,并 基于该测量信号中的辅助确定信息 (可以是参考信息, 如 RS ), 分别确定 每个基站到所述第 个用户终端的下行信道信息 ,该下行信道信息主要是指 控制站到终端的信道系数矩阵 H; 其中 = 1,... ,表示的是其中一个用户终 端
用户终端 根据每个基站到该用户终端的下行信道信息,再根据下行信 道信息生成相应的测量信号反馈信息, 反馈给各个基站。 其中, 所述测量 信号反馈信息主要是指用户终端上报的与信道信息最匹配的预编码矩阵指 示 ( PMI , Precoding Matrix Indication/Index ) 信息或最优矩阵指示信息 ( PMI , Preferred Matrix Indication/Index ) , 后文简称 PMI信息。
步驟 3: 各基站接收来自用户终端的反馈信息,初步确定预编码矩阵并 生成预编码信息发送给用户终端;
具体的, 每个基站分别接收来自各个用户终端的反馈信息, 每个基站 利用配对的 MU-MIMO用户反馈的 PMI信息, 计算每个用户对应的预编码 矩阵, 得到相应的预编码信息, 并将该信息通知到每个用户终端, 所述的 预编码信息一般是指所述预编码矩阵对应的预编码矩阵指示(PMI )信息。
所述配对的 MU-MIMO用户是指在相同时频资源上被调度的用户, 基 站通过配对 MU-MIMO用户反馈的 PMI协调所述用户终端的下行预编码矩 阵, 以达到抑制同频干扰。
其中基站可以利用下行控制信道或者广播信道或者数据业务信道将预 编码信息通知用户终端;
其中所述的预编码信息可以是基站通过计算之后得到的预编码矩阵; 其中所述的预编码信息可以是将预编码矩阵量化为系统预先给定码字 集合中的码字时, 该码字对应的索引值。
步驟 4:每个用户终端接收来自各基站的预编码信息, 并对这些预编码 信息进行调整, 然后将调整后的预编码信息重新反馈给各基站;
具体的, 用户终端 接收各基站对该用户的下行预编码信息,通信网络 中的 N个基站传输相同的信号,经过不同的预编码和信道作用之后,用户 接收到数据可以表示为:
N N K
=∑Hkwksk +∑∑H,kW.jSj +nk
i=\ i=\ j=\
j≠k 其中 H 表示第 个基站到第 个用户之间的信道系数矩阵, 表示第 i 个基站到第 个用户之间的预编码矩阵, Wi,kG G ( Λ ^为发射天线数, L 为数据流数), ∑H.kW,ksk表示用户 k的期望信号, |;|;1^ ,^表示多用户 i=l i=l j=l
j≠k
之间的干扰, 表示信道噪声。
当基站准确获得信道系数 Hi k时,为了避免多基站到该用户终端的信号 相互抵消, 从而获得多基站带来的合并增益, 需要实现 的相干性 合并, 即可以通过对 H^i^中的预编码矩阵 ^的每一个列向量做相位调整 实现。 根据基站到用户下行传输的数据流数的不同, 有以下两种调整方案: 方案 Α: 当数据流数 =1时, 预编码矩阵为 Mxl的矩阵, 也就是预编 码向量, 只需对这些预编码向量都做相位调整 ,使得到各项 Hi^, 具有 相同的相位, 将相位调整后的预编码向量量化, 用码本中的预编码向量 Λ 表示, 其中 = Wikeje'。 方案 B: 当数据流数 >1时, 预编码矩阵为 Mx 的矩阵, 需要对这些 预编码矩阵对应的每一个流(预编码矩阵的列向量)做相位调整, 得到的 新的 H^U 使得相应的数据流具有相同的相位, 其中 ί/^( ,..., 为酉矩
阵, 包含了对每个流的相位调整信息, 将相位调整后的预编码矩阵量化, 用码本中的预编码矩阵 表示, 其中 ': = w.ku.k。 其中, 所述数据流数 L和信道的秩有关: 信道系数 C ,信道的秩 rank(H)≤min^'^) , ^为发送天线数, ^为接收天线数。 空分复用下, L = rank ( H )。
用户终端根据新的预编码矩阵 , 反馈调整后的信息给各个基站。 才艮据 的取值不同, 有两种可选预编码调整方式: 方式 a: 选择其中任一个基站到该用户终端的 i/i t = / ( /为单位矩阵), 即以 ^^的相位为基准,调整其他基站到该用户的^ ^相位,使所有 Hi kWiJC 目 ^;歹 目^ i;†目同;
方式 b: 都不取单位矩阵 I, 即不以任何 H i^的各个列向量的相位 为基准, 而是对每个矩阵的相应的列向量另给定参考相位, 即需要调整所 有 Ψί , 最后吏所有 Ηί Ψί 歹 'J的相 ^立相同。 根据用户反馈给基站信息不同, 有两种可选调整方式:
方式 1 :用户终端反馈对各预编码矩阵每一列的调整角度给各个相应的 基站;
方式 2: 根据调整后的各个预编码矩阵 , , 生成 PMI信息, 并将此 PMI信息反馈给相应的各个基站。
步驟 5:各基站根据用户反馈的调整后的预编码信息,确定预编码矩阵, 下行信号经所述预编码矩阵处理后发送至用户终端, 实现下行数据通信; 以下将用具体的实施例来进一步说明本发明的方法。
以下实施例 1-2 用于说明两基站两用户, 其中下行数据流为一个的分 布式预编码的情况。
如图 1所示, 网络结构中有两基站 BS1和 BS2, 以及两用户终端 MS1 和 MS2。 以用户终端 MS1为例, 描述两个基站 BS1和 BS2共同为两个用 户 MS1和 MS2服务, 通过分布式预编码实现下行通信的过程。
首先, 基站 BS1和基站 BS2发送测量信号到用户 MS1和用户 MS2; 然后, MS1通过接收到 BS1的测量信号, 确定 BS1到 MS1的下行信 道信息 Hu ,并根据此信道信息计算 BS1到 MS1下行链路的预编码向量^ , 再根据此预编码向量生成预编码信息 PM/u反馈给基站 BS1 ;
MS1通过接收到的 BS2的测量信号, 确定 BS2到 MS1的下行信道信 息 H21 , 并根据此信道信息计算 BS2到 MSI下行链路的预编码向量 21 , 再 根据此预编码向量生成预编码信息 PM/21反馈给基站 BS2;
经过上述 MS1同样的过程, 用户终端 MS2反馈预编码信息 PM/12到基 站 BS1 , 用户终端 MS2反馈预编码信息 PM/22到基站 BS2。
然后,基站 BS1根据用户 MS1反馈给 BS1的 PM/u和用户 MS2反馈给 BS1的 PM/12 , 协调 PMI以抑制同频干扰, 从而分别确定他们的最优预编码 向量, 并将协调后得到的新 PM/u发送给 MS1 , 新 PM/12发送给 MS2。 同样 BS2发送相应的协调后的 PMI到 MS1和 MS2。
实施例 1 : 用于说明两基站两用户下行传输一个数据流, 采用方式 a 和方式 1的分布式预编码的情况。
请参考图 1和图 3。 在本实施例中, 以两基站两用户为例, 传输一个数 据流, 说明采用方式 1和方式 a分布式预编码实现下行数据传输的过程。
用户终端 MS1接收来自基站 BS1、 BS2的预编码信息, 对应的新的预 编码向量为 ^和 BS2到 MS1的预编码向量为 W21。
为了在用户终端 MS1对这一个流的信号实现相干合并, 可以采用方式 a对预编码向量进行调整, 即 „不变, 2; = w21e 。 满足 H21 21eM与
^ 目同 目^立。
用户终端调整完成后, 需要再次反馈信息给基站。 反馈内容可以采用 方式 1 , 即用户终端只需将对基站 BS2的调整角度 反馈到基站 BS2。 BS2 根据接收到的角度调整信息, 得到下行传输的最终预编码向量^ ' = ^21^ , BS1的预编码矩阵不作调整。
各基站根据用户反馈的调整后的预编码信息, 确定预编码矩阵, 下行 信号经所述预编码矩阵处理后发送至用户终端, 实现下行数据通信。
实施例 2: 用于说明两基站两用户下行传输一个数据流, 采用方式 b 和方式 2的分布式预编码的情况。
请参考图 1和图 3 , 在本实施例中, 以两基站两用户为例, 传输一个数 据流, 说明采用方式 2和方式 b分布式预编码实现下行数据传输的过程。
用户终端 MS1接收来自基站 BS1、 BS2的预编码信息, 对应的新的预 编码向量为 ^和 BS2到 MS1的预编码向量为 W21。
用户终端调整完成后, 需要再次反馈信息给基站。 反馈内容可以采用 方式 2, 即用户终端根据^ '生成新的 PMI信息反馈到基站 BS1 , BS1根据 新的 MS1反馈的 PMI信息确定预编码向量即为^ ';用户终端根据^ '生成 新的 PMI信息反馈到基站 BS2。 BS2根据新的 MS1反馈的 PMI信息确定 预编码向量即为 21'。 各基站根据用户反馈的调整后的预编码信息, 确定预编码矩阵, 下行 信号经所述预编码矩阵处理后发送至用户终端, 实现下行数据通信。
以下实施例 3-4 用于说明三基站三用户, 其中下行数据流为一个的分
布式预编码的情况。
如图 1所示,网络结构中有三基站 BS1、BS2和 BS3 ,三用户终端 MS1、 MS2和 MS3。 以用户终端 MSI为例, 描述 BS1、 BS2和 BS3共同为 MSI、 MS2和 MS3服务, 通过分布式预编码实现下行通信的过程。
首先, 基站 BS1、 BS2和 BS3发送测量信号到用户 MS1、 用户 MS2 和用户 MS3。
其次, MS1通过接收到 BS1的测量信号, 确定 BS1到 MS1的下行信 道信息 Hu ,并根据此信道信息计算 BS1到 MS1下行链路的预编码向量^ , 再根据此预编码向量生成预编码信息 PM/u反馈给基站 BS1 ;
同样地, MS1通过接收到的 BS2、 BS3 , 确定 BS2到 MS1的下行信道 信息 H21、 BS3到 MSI的下行信道信息 H31。 然后根据信道信息计算 BS2到 MS1下行链路的预编码向量 21、 然后根据信道信息计算 BS3到 MS1下行 链路的预编码向量^。再根据预编码向量生成预编码信息 W/21反馈给基站 BS2、 爾 31反馈给基站 BS3;
经过上述 MS1同样的过程, 用户终端 MS2反馈预编码信息 PM/12到基 站 BS1、 反馈预编码信息 PM/22到基站 BS2、 反馈预编码信息 PM/32到基站 BS3; 用户终端 MS3反馈预编码信息 PMI 到基站 BS1 ,用户终端 MS3反馈 预编码信息 PM/23到基站 BS3 , 用户终端 MS3反馈预编码信息 PM/33到基站 BS3。
然后, 基站 BS1根据用户 MS1反馈给 BS1的 PMIU、 用户 MS2反馈给
BS1的 PMIl2和用户 MS3反馈给 BS1的 ΡΜΙ , 协调 PMI以抑制同频干扰, 从而分别确定他们的最优预编码向量,并将协调得到的新 ΡΜ/„发送给 MS1、 新 PMIl2发送给 MS2、 新 ΡΜΙ发送给给 MS3。 同样 BS2 、 BS3发送相应的 ΡΜΙ到 MS1和 MS2、 MS3。
实施例 3: 用于说明三基站三用户下行传输数据流为一个采用方式 b 和方式 1的分布式预编码的情况
请参考图 1和图 3。 在本实施例中, 以三基站三用户为例, 传输一个数 据流, 说明采用方式 b和方式 1分布式预编码实现下行数据传输的过程。
用户终端 MS1接收来自基站 BSl、 BS2和 BS3的预编码信息, 对应的 新的预编码向量分别为 i、 W2L和 31。 为了在用户终端 MSI实现相干合并, 可以采用方式 b对预编码向量进 行调整, 即 WN = Wnejf)l , 21' = W2lejf)2 , W = W3leM。 、 和^ 5满足: HNWN、 H2LW2leM和 H3,31'具有相同相位。 用户终端调整完成后, 需要再次反馈给基站。 可以采用方式 1 , 即用户 终端将对基站 BS2的调整角度 反馈到基站 BS2、对基站 BS3的调整角度 反馈到基站 BS3。 BSl的预编码矩阵不变, BS2、 BS3根据接收到的角度调 整信息, 得到下行传输的最终预编码向量 21' = 21 ' 、 w3; =
各基站根据用户反馈的调整后的预编码信息, 确定预编码矩阵, 下行 信号经所述预编码矩阵处理后发送至用户终端, 实现下行数据通信。
实施例 4: 用于说明三基站三用户下行传输数据流为一个采用方式 a 和方式 2的分布式预编码的情况。
请参考图 1和图 3 , 在本实施例中, 以三基站三用户为例, 传输一个数 据流, 说明采用方式 2和方式 a分布式预编码实现下行数据传输的过程。
用户终端 MS1接收来自基站 BS1、 BS2和 BS3的预编码信息, 对应的 新的预编码向量分别为 i、 W2L和 31。 为了在用户终端 MSI实现相干合并, 可以采用方式 a对预编码向量进 行调整,即 „不变, 21' = 21e , 31' = w3leM 0 、 和 满足: HUWU . H2lwn 和 H3,31'具有相同相位。
用户终端调整完成后, 需要再次反馈给基站。 可以采用方式 2, 即用户 终端根据^ '生成新的 PMI信息反馈到基站 BS1 , BS1根据新的 MS1反馈 的 PMI信息确定预编码向量即为^ '; 用户终端根据 21'、 ^'生成新的 PMI 信息分别反馈到基站 BS2、 BS3。 BS2、 BS3分别根据 MSI反馈的新的 PMI 信息确定预编码向量即为 21'、 31'。 各基站根据用户反馈的调整后的预编码信息, 确定预编码矩阵, 下行 信号经所述预编码矩阵处理后发送至用户终端, 实现下行数据通信。
以下实施例 5-6 用于说明三基站两用户, 其中下行数据流为两个的分 布式预编码的情况。
如图 1所示,网络结构中有三基站 BS1、BS2和 BS3 ,两用户终端 MS1、
MS2。 以用户终端 MSI为例, 描述 BS1、 BS2和 BS3共同为 MS1、 MS2 和 MS3服务, 通过分布式预编码实现下行通信的过程。
首先,基站 BS1、 BS2和 BS3发送测量信号到用户 MS1、 MS2和 MS3。 其次, MS1通过接收到 BS1的测量信号, 确定 BS1到 MS1的下行信 道信息 Hu ,并根据此信道信息计算 BS1到 MS1下行链路的预编码矩阵^ , 再根据此预编码矩阵生成预编码信息 PM/u反馈给基站 BS1 ;
同样地, MS1通过接收到的 BS2、 BS3 , 确定 BS2到 MSI的下行信道 信息 H21、 BS3到 MSI的下行信道信息 H31。 然后根据信道信息计算 BS2到 MS1下行链路的预编码矩阵 21、 然后根据信道信息计算 BS3到 MS1下行 链路的预编码矩阵 31。再根据预编码矩阵生成预编码信息 W/21反馈给基站
BS2、 爾 31反馈给基站 BS3; 经过上述 MS1同样的过程, 用户终端 MS2反馈预编码信息 PM/12到基 站 BS1、 反馈预编码信息 PM/22到基站 BS2、 反馈预编码信息 PM/32到基站 BS3。
然后, 基站 BS1根据用户 MSI反馈给 BS1的 PMIU、 用户 MS2反馈给 BS1的 PM/12, 协调 PMI以抑制同频干扰, 从而分别确定他们的最优预编码 矩阵, 并将通过协调得到的新 PMIu发送给 MS 1、 新的 PMIU发送给给 MS2。 同样 BS2 、 BS3发送相应的新 PMI到 MS1和 MS2。
实施例 5: 用于说明三基站两用户, 下行传输两个数据流, 采用方式 a 和方式 1的分布式预编码的情况。
请参考图 1和图 4。 在本实施例中, 以三个基站两用户为例, 说明采用 方式 b和方式 1,传输两个数据流的分布式预编码实现下行数据传输的过程。
用户终端 MS1接收来自基站 BS1、 BS2和 BS3的预编码信息, 因为传 输的是两个流的数据, 所以预编码矩阵不是一个向量。 对应的新的预编码 矩阵分别为 u、 21和 31。 为了在用户终端 MSI实现多流的相干合并, 可以采用方式 a对预编码 矩阵进行调整, 即^ ^ 其中 f/u=/, 即 =0, 2=0。 所以 ^':^不 变, w2; = w2lu2l , w3; = w3lu3l 0 其中, υη(θη, 2)、 U2l( θ21, θ22)^υ31(θ31, θ32) 满足: 两个数据流的 Hu u、 H2i 21 '和 H3i 31 '具有相同相位。 用户终端调整完成后, 需要再次反馈给基站。 可以采用方式 1, 即用户 终端将对基站 BS2的相应数据流的调整角度 、 量化后反馈到基站 BS2、 对基站 BS3相应数据流的调整角度 、 量化后反馈到基站 BS3。 BS1的 预编码矩阵不变, BS2、 BS3根据接收到的角度调整信息, 计算得到下行传 输的最终预编码矩阵 21' = w2lu2l、 31' = w3lu3l。 各基站根据用户反馈的调整后的预编码信息, 确定预编码矩阵, 下行 信号经所述预编码矩阵处理后发送至用户终端, 实现下行数据通信。
实施例 6: 用于说明三基站两用户, 下行传输两个数据流, 采用方式 b 和方式 2的分布式预编码的情况。
请参考图 1和图 4。 在本实施例中, 以三个基站两用户为例, 说明采用 方式 a和方式 2,传输两个数据流的分布式预编码实现下行数据传输的过程。
用户终端 MS1接收来自基站 BS1、 BS2和 BS3的预编码信息, 因为传 输的是两个流的数据, 所以预编码矩阵不是一个向量。 对应的新的预编码 矩阵分别为 u、 21和 31。 为了在用户终端 MSI实现多流的相干合并, 可以采用方式 b对预编码 矩阵进行调整, 即
, w2;=w2lu2l , w3; = w3lu3l 0 υη(θη, θη) . u2l( θ21, θ22) υ31( θ31, Θ32) υ3( Θ31, 2)满足: 两个数据流的 Hu u 、 H21 21 '和 H31 31'~ ^;†目同? 立。 用户终端调整完成后, 需要再次反馈给基站。 可以采用方式 1, 即用户 终端将对基站 BS2的相应数据流的调整角度 、 量化后反馈到基站 BS2、 对基站 BS3相应数据流的调整角度 、 量化后反馈到基站 BS3。 BS2、 BS3 根据接收到的角度调整信息, 计算得到下行传输的最终预编码矩阵
用户终端调整完成后, 需要再次反馈给基站。 可以采用方式 2, 即用户 终端根据^ '生成新的 ΡΜΙ信息反馈到基站 BS1, BS1根据新的 MS1反馈 的 ΡΜΙ信息计算得到这个预编码矩阵即为 ; 用户终端根据 21'、 ff31'生成 新的 PMI信息分别反馈到基站 BS2、 BS3。 BS2、 BS3分别根据 MSI反馈 的 PMI信息也计算得到相应的预编码矩阵即为 21'、 W3l'。 各基站根据用户反馈的调整后的预编码信息, 确定预编码矩阵, 下行 信号经所述预编码矩阵处理后发送至用户终端, 实现下行数据通信。
此外, 对于本发明的多基站多用户下行传输的分布式预处理系统, 包 括若干参与协作的控制站和 K个终端, 其中, K大于等于 1, 还包括: 测量信号发送模块, 用于实现每个参与协作的控制站发送测量信号到
K个终端, Κ大于等于 1 ;
测量信号反馈信息生成和发送模块, 用于接收来自控制站的测量信号 生成测量信号反馈信息并分别发送给每个参与协作的控制站;
预编码矩阵计算及预编码信息生成模块, 用于接收来自终端的测量信 号反馈信息, 计算预编码矩阵并生成预编码信息发送给每个终端;
预编码信息调整及反馈模块, 用于接收来自各控制站的预编码信息, 并对预编码信息进行调整 , 将调整后的预编码信息反馈给各控制站;
预编码矩阵确定模块, 用于再次确定预编码矩阵, 以使下行信号经所 述预编码矩阵处理后发送至终端, 实现下行基站到终端的用户数据传输。
上述说明示出并描述了本发明的一个或多个优选实施例, 但如前所述, 应当理解本发明并非局限于本文所披露的形式, 不应看作是对其他实施例 的排除, 而可用于各种其他组合、 修改和环境, 并能够在本文所述发明构 想范围内, 通过上述教导或相关领域的技术或知识进行改动。 而本领域人 员所进行的改动和变化不脱离本发明的精神和范围, 则都应在本发明所附 权利要求的保护范围内。
Claims
1、 一种多基站多用户下行传输的分布式预处理方法, 其特征在于, 包 括:
每个参与协作的控制站发送测量信号到 K个终端, K大于等于 1 ; 每个终端接收来自控制站的测量信号生成测量信号反馈信息分别发送 给每个参与协作的控制站;
每个参与协作的控制站接收来自终端的测量信号反馈信息, 计算预编 码矩阵并生成预编码信息发送给每个终端;
每个终端接收来自各控制站的预编码信息, 并对预编码信息进行调整, 将调整后的预编码信息反馈给各控制站;
每个控制站根据终端反馈的调整后的预编码信息, 再次确定预编码矩 阵, 下行信号经所述预编码矩阵处理后发送至终端, 实现下行基站到终端 的用户数据传输。
2、根据权利要求 1所述的多基站多用户下行传输的分布式预处理方法, 其特征在于, 所述测量信号包括用于确定本控制站至终端的信道相关信息 的辅助信息。
3、根据权利要求 2所述的多基站多用户下行传输的分布式预处理方法, 其特征在于 , 所述每个终端接收来自控制站的测量信号生成测量信号反馈 信息分别发送给每个参与协作的控制站包括: 每个终端接收来自所有控制 站的测量信号, 根据所述测量信号中的辅助确定信息, 确定每个参与协作 的控制站到各自的下行信道信息, 再根据所述下行信道信息生成测量信号 反馈信息, 发送给所述每个参与协作的控制站。
4、 根据权利要求 1或 3所述的多基站多用户下行传输的分布式预处理 方法, 其特征在于, 所述的测量信号反馈信息为终端上报的与下行信道信 息最匹配的预编码矩阵指示信息或最优矩阵指示信息。
5、根据权利要求 4所述的多基站多用户下行传输的分布式预处理方法, 其特征在于, 所述每个参与协作的控制站接收来自终端的测量信号反馈信 息, 计算预编码矩阵并生成预编码信息发送给各终端包括: 每个参与协作 的控制站分别接收来自每个来自终端的测量信号反馈信息, 并利用配对的 MU-MIMO 用户反馈的预编码矩阵指示信息或最优矩阵指示信息, 计算每 个终端对应的预编码矩阵生成预编码信息发送给各终端。
6、根据权利要求 5所述的多基站多用户下行传输的分布式预处理方法, 其特征在于, 所述配对的 MU-MIMO用户是在相同时频资源上被调度的终 端。
7、根据权利要求 5所述的多基站多用户下行传输的分布式预处理方法, 其特征在于, 所述预编码信息由参与协作的控制站通过下行控制信道、 广 播信道或数据业务信道发送给各终端。
8、根据权利要求 5所述的多基站多用户下行传输的分布式预处理方法, 其特征在于, 所述预编码信息是将预编码矩阵量化为系统预先给定码字集 合中的码字时, 该码字对应的索引值。
9、 根据权利要求 1或 3所述的多基站多用户下行传输的分布式预处理 方法, 其特征在于, 所述控制站为基站或中继站。
10、 一种多基站多用户下行传输的分布式预处理系统, 包括若干参与 协作的控制站和 K个终端, 其中, K大于等于 1 , 其特征在于, 还包括: 测量信号发送模块,用于实现每个参与协作的控制站发送测量信号到 K 个终端, K大于等于 1 ;
测量信号反馈信息生成和发送模块, 用于接收来自控制站的测量信号 生成测量信号反馈信息并分别发送给每个参与协作的控制站;
预编码矩阵计算及预编码信息生成模块, 用于接收来自终端的测量信 号反馈信息, 计算预编码矩阵并生成预编码信息发送给每个终端; 预编码信息调整及反馈模块, 用于接收来自各控制站的预编码信息, 并对预编码信息进行调整 , 将调整后的预编码信息反馈给各控制站;
预编码矩阵确定模块, 用于再次确定预编码矩阵, 以使下行信号经所 述预编码矩阵处理后发送至终端, 实现下行基站到终端的用户数据传输。
11、 根据权利要求 10所述的多基站多用户下行传输的分布式预处理系 统, 其特征在于所述控制站为基站或中继站。
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