公开(公告)号：US20060002496A1

公开(公告)日：2006-01-05

申请号：US10882491

申请日：2004-06-30

申请人： Mark Wallace ,  Jay Walton ,  Steven Howard

发明人： Mark Wallace ,  Jay Walton ,  Steven Howard

IPC分类号： H04L1/02

CPC分类号： H04B7/0417 ,  H04B7/0626 ,  H04B7/0697 ,  H04B7/0854

摘要： Techniques for efficiently computing spatial filter matrices are described. The channel response matrices for a MIMO channel may be highly correlated if the channel is relatively static over a range of transmission spans. In this case, an initial spatial filter matrix may be derived based on one channel response matrix, and a spatial filter matrix for each transmission span may be computed based on the initial spatial filter matrix and a steering matrix used for that transmission span. The channel response matrices may be partially correlated if the MIMO channel is not static but does not change abruptly. In this case, a spatial filter matrix may be derived for one transmission span l and used to derive an initial spatial filter matrix for another transmission span m. A spatial filter matrix for transmission span m may be computed based on the initial spatial filter matrix, e.g., using an iterative procedure.

公开(公告)号：US20050265275A1

公开(公告)日：2005-12-01

申请号：US11050897

申请日：2005-02-03

申请人： Steven Howard ,  Jay Walton ,  Mark Wallace

发明人： Steven Howard ,  Jay Walton ,  Mark Wallace

IPC分类号： H04J99/00 ,  H04B7/04 ,  H04B7/06 ,  H04L5/02 ,  H04L27/26 ,  H04Q7/00

CPC分类号： H04B7/0617 ,  H04B7/0408 ,  H04B7/0417 ,  H04B7/0626 ,  H04B7/0671

摘要： A transmitting entity performs spatial processing on data symbols for each subband with an eigenmode matrix, a steering matrix, or an identity matrix to obtain spatially processed symbols for the subband. The data symbols may be sent on orthogonal spatial channels with the eigenmode matrix, on different spatial channels with the steering matrix, or from different transmit antennas with the identity matrix. The transmitting entity further performs beamforming on the spatially processed symbols, in the frequency domain or time domain, prior to transmission from the multiple transmit antennas. A receiving entity performs the complementary processing to recover the data symbols sent by the transmitting entity. The receiving entity may derive a spatial filter matrix for each subband based on a MIMO channel response matrix for that subband and perform receiver spatial processing for the subband with the spatial filter matrix.

摘要翻译： 发送实体对具有本征模式矩阵，导向矩阵或单位矩阵的每个子带的数据符号执行空间处理，以获得子带的空间处理符号。 数据符号可以在具有本征模式矩阵的正交空间信道上，在具有导引矩阵的不同空间信道上，或者从具有单位矩阵的不同发射天线发送。 在从多个发射天线的发射之前，发射实体在频域或时域中进一步对空间处理的符号执行波束成形。 接收实体执行补充处理以恢复由发送实体发送的数据符号。 接收实体可以基于该子带的MIMO信道响应矩阵为每个子带导出空间滤波器矩阵，并且对于具有空间滤波器矩阵的子带执行接收机空间处理。

公开(公告)号：US20080031372A1

公开(公告)日：2008-02-07

申请号：US11870380

申请日：2007-10-10

申请人： Jay Walton ,  John Ketchum ,  Mark Wallace ,  Steven Howard

发明人： Jay Walton ,  John Ketchum ,  Mark Wallace ,  Steven Howard

IPC分类号： H04L27/28

CPC分类号： H04L25/03866 ,  H04B7/043 ,  H04B7/0615 ,  H04B7/0669 ,  H04B7/0678 ,  H04B7/068 ,  H04B7/12 ,  H04L5/0007 ,  H04L25/0204 ,  H04L25/0224 ,  H04W52/42

摘要： An access point in a multi-antenna system broadcasts data using spatial spreading to randomize an “effective” channel observed by each user terminal for each block of data symbols broadcast by the access point. At the access point, data is coded, interleaved, and modulated to obtain ND data symbol blocks to be broadcast in NM transmission spans, where ND≧1 and NM>1. The ND data symbol blocks are partitioned into NM data symbol subblocks, one subblock for each transmission span. A steering matrix is selected (e.g., in a deterministic or pseudo-random manner from among a set of L steering matrices) for each subblock. Each data symbol subblock is spatially processed with the steering matrix selected for that subblock to obtain transmit symbols, which are further processed and broadcast via NT transmit antennas and in one transmission span to user terminals within a broadcast coverage area.

摘要翻译： 多天线系统中的接入点使用空间扩展广播数据，以随机化由接入点广播的每个数据符号块由每个用户终端观察到的“有效”信道。 在接入点，对数据进行编码，交织和调制，以获得要在N N个传输跨度中广播的N个D个数据符号块，其中N < / SUB >> = 1和N＆lt; 1＆gt; 1。 N N个数据符号块被划分为N个M个数据符号子块，每个传输跨度的一个子块。 对于每个子块，选择导向矩阵（例如，从一组L个导引矩阵中以确定性或伪随机方式）。 利用为该子块选择的导引矩阵来对每个数据符号子块进行空间处理，以获得发射符号，其进一步经由N T T个发射天线处理和广播，并且在一个传输跨度内广播覆盖范围内的用户终端 区。

公开(公告)号：US20070009059A1

公开(公告)日：2007-01-11

申请号：US11520095

申请日：2006-09-12

申请人： Mark Wallace ,  Jay Walton ,  Steven Howard

发明人： Mark Wallace ,  Jay Walton ,  Steven Howard

IPC分类号： H04B7/02 ,  H04L27/28

CPC分类号： H04B7/0417 ,  H04B7/0626 ,  H04B7/0697 ,  H04B7/0854

摘要： Techniques for efficiently computing spatial filter matrices are described. The channel response matrices for a MIMO channel may be highly correlated if the channel is relatively static over a range of transmission spans. In this case, an initial spatial filter matrix may be derived based on one channel response matrix, and a spatial filter matrix for each transmission span may be computed based on the initial spatial filter matrix and a steering matrix used for that transmission span. The channel response matrices may be partially correlated if the MIMO channel is not static but does not change abruptly. In this case, a spatial filter matrix may be derived for one transmission span l and used to derive an initial spatial filter matrix for another transmission span m. A spatial filter matrix for transmission span m may be computed based on the initial spatial filter matrix, e.g., using an iterative procedure.

摘要翻译： 描述了有效计算空间滤波器矩阵的技术。 如果信道在传输跨度的范围内是相对静态的，则用于MIMO信道的信道响应矩阵可以是高度相关的。 在这种情况下，可以基于一个信道响应矩阵导出初始空间滤波器矩阵，并且可以基于初始空间滤波器矩阵和用于该传输跨度的导引矩阵来计算每个传输跨度的空间滤波器矩阵。 如果MIMO信道不是静态的但是不会突然改变，则信道响应矩阵可以是部分相关的。 在这种情况下，可以为一个传输跨度l导出空间滤波器矩阵，并且用于导出用于另一个传输跨度m的初始空间滤波器矩阵。 可以基于初始空间滤波器矩阵来计算用于传输跨度m的空间滤波器矩阵，例如使用迭代过程。

公开(公告)号：US20060274638A1

公开(公告)日：2006-12-07

申请号：US11494126

申请日：2006-07-26

申请人： Jay Walton ,  John Ketchum ,  Steven Howard ,  Mark Wallace

发明人： Jay Walton ,  John Ketchum ,  Steven Howard ,  Mark Wallace

IPC分类号： H04J11/00

CPC分类号： H04W52/12 ,  H04B1/692 ,  H04L5/0021 ,  H04L5/0048 ,  H04L5/026 ,  H04L25/0228 ,  H04L27/0008 ,  H04L27/2607 ,  H04L27/2613 ,  H04L27/2647 ,  H04L27/2655 ,  H04W52/286

摘要： In one aspect of a multiple-access OFDM-CDMA system, the data spreading is performed in the frequency domain by spreading each data stream with a respective spreading code selected from a set of available spreading codes. To support multiple access, system resources may be allocated and de-allocated to users (e.g., spreading codes may be assigned to users as needed, and transmit power may be allocated to users). Variable rate data for each user may be supported via a combination of spreading adjustment and transmit power scaling. Interference control techniques are also provided to improve system performance via power control of the downlink and/or uplink transmissions to achieve the desired level of performance while minimizing interference. A pilot may be transmitted by each transmitter unit to assist the receiver units perform acquisition, timing synchronization, carrier recovery, handoff, channel estimation, coherent data demodulation, and so on.

公开(公告)号：US20060155798A1

公开(公告)日：2006-07-13

申请号：US11280596

申请日：2005-11-15

申请人： John Ketchum ,  Jay Walton ,  Mark Wallace ,  Steven Howard ,  Hakan Inanoglu

发明人： John Ketchum ,  Jay Walton ,  Mark Wallace ,  Steven Howard ,  Hakan Inanoglu

IPC分类号： G06F7/52

CPC分类号： G06F17/16 ,  H04L25/0208 ,  H04L25/0246 ,  H04L25/0248

摘要： Techniques for decomposing matrices using Jacobi rotation are described. Multiple iterations of Jacobi rotation are performed on a first matrix of complex values with multiple Jacobi rotation matrices of complex values to zero out the off-diagonal elements in the first matrix. For each iteration, a submatrix may be formed based on the first matrix and decomposed to obtain eigenvectors for the submatrix, and a Jacobi rotation matrix may be formed with the eigenvectors and used to update the first matrix. A second matrix of complex values, which contains orthogonal vectors, is derived based on the Jacobi rotation matrices. For eigenvalue decomposition, a third matrix of eigenvalues may be derived based on the Jacobi rotation matrices. For singular value decomposition, a fourth matrix with left singular vectors and a matrix of singular values may be derived based on the Jacobi rotation matrices.

摘要翻译： 描述了使用雅可比旋转分解矩阵的技术。 对具有复数值的多个Jacobi旋转矩阵的复数值的第一矩阵执行Jacobi旋转的多次迭代，以将第一矩阵中的非对角线元素归零。 对于每个迭代，可以基于第一矩阵形成子矩阵并且被分解以获得子矩阵的特征向量，并且可以与特征向量形成雅可比旋转矩阵并用于更新第一矩阵。 基于Jacobi旋转矩阵导出包含正交向量的第二个复数值矩阵。 对于特征值分解，可以基于Jacobi旋转矩阵导出特征值的第三矩阵。 对于奇异值分解，可以基于雅可比旋转矩阵导出具有左奇异矢量的第四矩阵和奇异值矩阵。

公开(公告)号：US20060121946A1

公开(公告)日：2006-06-08

申请号：US11332059

申请日：2006-01-13

申请人： Jay Walton ,  Mark Wallace ,  Steven Howard

发明人： Jay Walton ,  Mark Wallace ,  Steven Howard

IPC分类号： H04B1/38

CPC分类号： H04B7/0417 ,  H04B7/0452 ,  H04B7/0626 ,  H04B7/066 ,  H04B7/0689 ,  H04B7/0891 ,  H04L1/0026 ,  H04L1/0687 ,  H04L1/0693

摘要： Techniques to achieve better utilization of the available resources and robust performance for the downlink and uplink in a multiple-access MIMO system. Techniques are provided to adaptively process data prior to transmission, based on channel state information, to more closely match the data transmission to the capacity of the channel. Various receiver processing techniques are provided to process a data transmission received via multiple antennas at a receiver unit. Adaptive reuse schemes and power back-off are also provided to operate the cells in the system in a manner to further increase the spectral efficiency of the system (e.g., reduce interference, improve coverage, and attain high throughput). Techniques are provided to efficiently schedule data transmission on the downlink and uplink. The scheduling schemes may be designed to optimize transmissions (e.g., maximize throughput) for single or multiple terminals in a manner to meet various constraints and requirements.

公开(公告)号：US20080095282A1

公开(公告)日：2008-04-24

申请号：US11963199

申请日：2007-12-21

申请人： Jay Walton ,  John Ketchum ,  Mark Wallace ,  Steven Howard

发明人： Jay Walton ,  John Ketchum ,  Mark Wallace ,  Steven Howard

IPC分类号： H04B7/10

CPC分类号： H04B7/0417 ,  H04B7/0626 ,  H04B7/0678 ,  H04L1/0002 ,  H04L1/0003 ,  H04L1/0009 ,  H04L5/0023 ,  H04L25/0224

摘要： For data transmission with spatial spreading, a transmitting entity (1) encodes and modulates each data packet to obtain a corresponding data symbol block, (2) multiplexes data symbol blocks onto NS data symbol streams for transmission on NS transmission channels of a MIMO channel, (3) spatially spreads the NS data symbol streams with steering matrices, and (4) spatially processes NS spread symbol streams for full-CSI transmission on NS eigenmodes or partial-CSI transmission on NS spatial channels of the MIMO channel. A receiving entity (1) obtains NR received symbol streams via NR receive antennas, (2) performs receiver spatial processing for full-CSI or partial-CSI transmission to obtain NS detected symbol streams, (3) spatially despreads the NS detected symbol streams with the same steering matrices used by the transmitting entity to obtain NS recovered symbol streams, and (4) demodulates and decodes each recovered symbol block to obtain a corresponding decoded data packet.

摘要翻译： 对于具有空间扩展的数据传输，发送实体（1）对每个数据分组进行编码和调制以获得对应的数据符号块，（2）将数据符号块复用到NS数据符号流上，以在MIMO信道的NS传输信道上传输， （3）用导向矩阵空间扩展NS数据符号流，以及（4）在NS信道的NS个空间信道上的NS本征模或部分CSI传输上空间处理用于全CSI传输的NS扩展符号流。 接收实体（1）通过NR个接收天线获得NR个接收到的符号流，（2）执行全CSI或部分CSI传输的接收机空间处理，以获得NS检测符号流，（3）空间地解扩NS检测符号流， 发送实体使用相同的导向矩阵来获得NS恢复的符号流，以及（4）对每个恢复的符号块进行解调和解码以获得对应的解码数据分组。

公开(公告)号：US20060285531A1

公开(公告)日：2006-12-21

申请号：US11158586

申请日：2005-06-21

申请人： Steven Howard ,  John Ketchum ,  Mark Wallace ,  Peter Monsen ,  Jay Walton

发明人： Steven Howard ,  John Ketchum ,  Mark Wallace ,  Peter Monsen ,  Jay Walton

IPC分类号： H04J1/00 ,  H04L1/02

CPC分类号： H04B7/0854 ,  H04B7/0413 ,  H04L25/0246 ,  H04L25/0248 ,  H04L2025/03426 ,  H04L2025/03605 ,  H04L2025/03611

摘要： Techniques to efficiently derive a spatial filter matrix are described. In a first scheme, a Hermitian matrix is iteratively derived based on a channel response matrix, and a matrix inversion is indirectly calculated by deriving the Hermitian matrix iteratively. The spatial filter matrix is derived based on the Hermitian matrix and the channel response matrix. In a second scheme, multiple rotations are performed to iteratively obtain first and second matrices for a pseudo-inverse matrix of the channel response matrix. The spatial filter matrix is derived based on the first and second matrices. In a third scheme, a matrix is formed based on the channel response matrix and decomposed to obtain a unitary matrix and a diagonal matrix. The spatial filter matrix is derived based on the unitary matrix, the diagonal matrix, and the channel response matrix.

摘要翻译： 描述了有效地导出空间滤波器矩阵的技术。 在第一种方案中，基于信道响应矩阵迭代地导出Hermitian矩阵，并且通过迭代地导出Hermitian矩阵来间接计算矩阵求逆。 基于Hermitian矩阵和信道响应矩阵导出空间滤波矩阵。 在第二方案中，执行多次旋转以迭代地获得用于信道响应矩阵的伪逆矩阵的第一和第二矩阵。 基于第一和第二矩阵导出空间滤波器矩阵。 在第三方案中，基于信道响应矩阵形成矩阵并分解以获得酉矩阵和对角矩阵。 基于单一矩阵，对角矩阵和信道响应矩阵导出空间滤波器矩阵。

公开(公告)号：US20060105761A1

公开(公告)日：2006-05-18

申请号：US11301790

申请日：2005-12-12

申请人： Jay Walton ,  Mark Wallace ,  Steven Howard

发明人： Jay Walton ,  Mark Wallace ,  Steven Howard

IPC分类号： H04Q7/20

CPC分类号： H04W72/121 ,  H04B7/0417 ,  H04B7/0626 ,  H04B7/0697 ,  H04B7/0891 ,  H04W72/1205

摘要： Techniques to schedule uplink data transmission for a number of terminals in a wireless communication system. In one method, a number of sets of terminals are formed for possible data transmission, with each set including a unique combination of terminals and corresponds to a hypothesis to be evaluated. The performance of each hypothesis is evaluated (e.g., based on channel response estimates for each terminal) and one of the evaluated hypotheses is selected based on the performance. The terminals in the selected hypothesis are scheduled for data transmission. A successive cancellation receiver processing scheme may be used to process the signals transmitted by the scheduled terminals. In this case, one or more orderings of the terminals in each set may be formed, with each terminal ordering corresponding to a sub-hypothesis to be evaluated. The performance of each sub-hypothesis is then evaluated and one of the sub-hypotheses is selected.