公开(公告)号：US20160087768A1

公开(公告)日：2016-03-24

申请号：US14957855

申请日：2015-12-03

申请人： Futurewei Technologies, Inc. ,  The Governing Council of the University of Toronto

发明人： Wei Yu ,  Yuhan Zhou ,  Jianglei Ma ,  Peiying Zhu ,  Mohammadhadi Baligh

IPC分类号： H04L5/00

CPC分类号： H04L5/0032 ,  H04B7/00 ,  H04B7/024 ,  H04L5/0035 ,  H04L25/0204 ,  H04W72/0413

摘要： Embodiments are provided for a compress and forward relaying scheme in joint multi-cell processing. A plurality of base stations receive similar combinations of user signals from a plurality of users, compress the signals using quantization, and relay the signals over respective backhaul links to a processor in the network for decoding the signal. The processor determines suitable quantization noise levels for the backhaul links according to a weighted sum-rate maximization function for optimizing the quantization noise levels, subject to a backhaul sum capacity constraint on the backhaul links. The determined quantization noise levels are sent to the base stations, which then quantize the received combinations of user signals according to the quantization noise levels and relay the quantized signals to the processor. The quantization is according to a Wyner-Ziv coding or a single user compression algorithm that excludes statistical correlations between the user signals at the base stations.

摘要翻译： 为联合多小区处理中的压缩和转发中继方案提供实施例。 多个基站接收来自多个用户的用户信号的类似组合，使用量化来压缩信号，并将信号通过相应的回程链路中继到网络中的处理器，以对信号进行解码。 处理器根据用于优化量化噪声电平的加权和速率最大化功能，为回程链路确定合适的量化噪声电平，受到回程链路上的回程和容量限制。 确定的量化噪声电平被发送到基站，基站然后根据量化噪声电平量化接收的用户信号的组合，并将量化的信号中继到处理器。 量化是根据Wyner-Ziv编码或单个用户压缩算法，其排除基站处的用户信号之间的统计相关性。

公开(公告)号：US09258089B2

公开(公告)日：2016-02-09

申请号：US14163375

申请日：2014-01-24

申请人： FutureWei Technologies, Inc. ,  The Governing Council of the University of Toronto

发明人： Wei Yu ,  Yuhan Zhou ,  Jianglei Ma ,  Peiying Zhu ,  Mohammadhadi Baligh

IPC分类号： H04L5/00 ,  H04L25/02 ,  H04W72/04 ,  H04B7/00 ,  H04B7/02

CPC分类号： H04L5/0032 ,  H04B7/00 ,  H04B7/024 ,  H04L5/0035 ,  H04L25/0204 ,  H04W72/0413

摘要： Embodiments are provided for a compress and forward relaying scheme in joint multi-cell processing. A plurality of base stations receive similar combinations of user signals from a plurality of users, compress the signals using quantization, and relay the signals over respective backhaul links to a processor in the network for decoding the signal. The processor determines suitable quantization noise levels for the backhaul links according to a weighted sum-rate maximization function for optimizing the quantization noise levels, subject to a backhaul sum capacity constraint on the backhaul links. The determined quantization noise levels are sent to the base stations, which then quantize the received combinations of user signals according to the quantization noise levels and relay the quantized signals to the processor. The quantization is according to a Wyner-Ziv coding or a single user compression algorithm that excludes statistical correlations between the user signals at the base stations.

摘要翻译： 为联合多小区处理中的压缩和转发中继方案提供实施例。 多个基站接收来自多个用户的用户信号的类似组合，使用量化来压缩信号，并将信号通过相应的回程链路中继到网络中的处理器，以对信号进行解码。 处理器根据用于优化量化噪声电平的加权和速率最大化功能，为回程链路确定合适的量化噪声电平，受到回程链路上的回程和容量限制。 确定的量化噪声电平被发送到基站，基站然后根据量化噪声电平量化接收的用户信号的组合，并将量化的信号中继到处理器。 量化是根据Wyner-Ziv编码或单个用户压缩算法，其排除基站处的用户信号之间的统计相关性。

公开(公告)号：US20160013850A1

公开(公告)日：2016-01-14

申请号：US14794684

申请日：2015-07-08

申请人： Huawei Technologies Canada Co., Ltd. ,  The Governing Council of the University of Toronto

发明人： Yuhan Zhou ,  Wei Yu ,  Mohammadhadi Baligh

IPC分类号： H04B7/06 ,  H04B7/04

CPC分类号： H04B7/0617 ,  H04B7/0404 ,  H04B7/0413 ,  H04W84/045

摘要： System and method embodiments are provided to optimize uplink multiple-input-multiple-output (MIMO) beamforming for uplink and compression for fronthaul links transmission in cloud radio access network (C-RANs). In an embodiment, cloud-computing based central processor (CP) obtains channel state information for a mobile device (MD) being served by a plurality of access points (APs) in a C-RAN, and generates a channel gain matrix in accordance with the channel state information. A weighted sum-rate maximization model is then established using the channel gain matrix in accordance with power constraints of transmission from the MD to the APs and capacity constraints of fronthaul links connecting the APs to the CP. The CP calculates a transmit beamforming vector for the MD and a quantization noise covariance matrix for the APs jointly by applying a weighted minimum-mean-square-error successive convex approximation algorithm, or separately by applying an approximation algorithm, to solve the weighted sum-rate maximization model.

摘要翻译： 提供了系统和方法实施例以优化用于云无线电接入网络（C-RAN）中的前端链路传输的上行链路和上行链路多输入多输出（MIMO）波束成形。 在一个实施例中，基于云计算的中央处理器（CP）获得由C-RAN中的多个接入点（AP）服务的移动设备（MD）的信道状态信息，并且根据 通道状态信息。 然后根据从MD到AP的传输的功率约束和将AP连接到CP的前端链路的容量约束，使用信道增益矩阵建立加权和率最大化模型。 CP通过应用加权最小均方误差连续凸近似算法或分别通过应用近似算法来计算用于MD的发射波束形成向量和AP的量化噪声协方差矩阵，以求解加权和 - 速率最大化模型。

公开(公告)号：US09537556B2

公开(公告)日：2017-01-03

申请号：US14794684

申请日：2015-07-08

申请人： Huawei Technologies Canada Co., Ltd. ,  The Governing Council of the University of Toronto

发明人： Yuhan Zhou ,  Wei Yu ,  Mohammadhadi Baligh

IPC分类号： H04B7/02 ,  H04B7/06 ,  H04B7/04 ,  H04W84/04

CPC分类号： H04B7/0617 ,  H04B7/0404 ,  H04B7/0413 ,  H04W84/045

摘要： System and method embodiments are provided to optimize uplink multiple-input-multiple-output (MIMO) beamforming for uplink and compression for fronthaul links transmission in cloud radio access network (C-RANs). In an embodiment, cloud-computing based central processor (CP) obtains channel state information for a mobile device (MD) being served by a plurality of access points (APs) in a C-RAN, and generates a channel gain matrix in accordance with the channel state information. A weighted sum-rate maximization model is then established using the channel gain matrix in accordance with power constraints of transmission from the MD to the APs and capacity constraints of fronthaul links connecting the APs to the CP. The CP calculates a transmit beamforming vector for the MD and a quantization noise covariance matrix for the APs jointly by applying a weighted minimum-mean-square-error successive convex approximation algorithm, or separately by applying an approximation algorithm, to solve the weighted sum-rate maximization model.

摘要翻译： 提供了系统和方法实施例以优化用于云无线电接入网络（C-RAN）中的前端链路传输的上行链路和上行链路多输入多输出（MIMO）波束成形。 在一个实施例中，基于云计算的中央处理器（CP）获得由C-RAN中的多个接入点（AP）服务的移动设备（MD）的信道状态信息，并且根据 通道状态信息。 然后根据从MD到AP的传输的功率约束和将AP连接到CP的前端链路的容量约束，使用信道增益矩阵建立加权和率最大化模型。 CP通过应用加权最小均方误差连续凸近似算法或分别通过应用近似算法来计算用于MD的发射波束成形向量和AP的量化噪声协方差矩阵，以求解加权和 - 速率最大化模型。

公开(公告)号：US20140211687A1

公开(公告)日：2014-07-31

申请号：US14163375

申请日：2014-01-24

申请人： FutureWei Technologies, Inc.

发明人： Wei Yu ,  Yuhan Zhou ,  Jianglei Ma ,  Peiying Zhu ,  Mohammadhadi Baligh

IPC分类号： H04L5/00 ,  H04L25/02

CPC分类号： H04L5/0032 ,  H04B7/00 ,  H04B7/024 ,  H04L5/0035 ,  H04L25/0204 ,  H04W72/0413

摘要： Embodiments are provided for a compress and forward relaying scheme in joint multi-cell processing. A plurality of base stations receive similar combinations of user signals from a plurality of users, compress the signals using quantization, and relay the signals over respective backhaul links to a processor in the network for decoding the signal. The processor determines suitable quantization noise levels for the backhaul links according to a weighted sum-rate maximization function for optimizing the quantization noise levels, subject to a backhaul sum capacity constraint on the backhaul links. The determined quantization noise levels are sent to the base stations, which then quantize the received combinations of user signals according to the quantization noise levels and relay the quantized signals to the processor. The quantization is according to a Wyner-Ziv coding or a single user compression algorithm that excludes statistical correlations between the user signals at the base stations.

摘要翻译： 为联合多小区处理中的压缩和转发中继方案提供实施例。 多个基站接收来自多个用户的用户信号的类似组合，使用量化来压缩信号，并将信号通过相应的回程链路中继到网络中的处理器，以对信号进行解码。 处理器根据用于优化量化噪声电平的加权和速率最大化功能，为回程链路确定合适的量化噪声电平，受到回程链路上的回程和容量限制。 确定的量化噪声电平被发送到基站，基站然后根据量化噪声电平量化接收的用户信号的组合，并将量化的信号中继到处理器。 量化是根据Wyner-Ziv编码或单个用户压缩算法，其排除基站处的用户信号之间的统计相关性。