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Spatial Compatible User Evaluation Algorithm for Space Division Multiplexing Broadcast Channels
作者姓名:牛志升  李蕾
作者单位:Department of Electronic Engineering Tsinghua University,Department of Electronic Engineering Tsinghua University,Beijing 100084 China,Beijing 100084 China
摘    要:Cochannel interference introduced by frequency reuse under space division multiple access can be reduced by controlling the frequency sharing according to the users' spatial separability. The system avoids placing highly correlated users in space into the same spatial multiplexing group. This paper describes a user spatial compatibility evaluation criterion based on channel matrix structure analysis. The interferences are evaluated using the distances between subspaces spanned by the users' channel matrixes. The analysis considers row space and column space. Simulation results show that the row space distance criterion significantly outperforms other criteria because it fully utilizes the information from the users' chan- nel matrixes. As the dimensions of the users' channel matrixes increase, the matrix structure analysis-based criteria become even more efficient.

关 键 词:广播频道  空分复用  空间兼容性  用户评价算法  多用户频道  空分多址通信
收稿时间:8 May 2006
修稿时间:2006-05-082006-05-31

Spatial Compatible User Evaluation Algorithm for Space Division Multiplexing Broadcast Channels
NIU Zhisheng,LI Lei.Spatial Compatible User Evaluation Algorithm for Space Division Multiplexing Broadcast Channels[J].Tsinghua Science and Technology,2007,12(1):111-114.
Authors:NIU Zhisheng  LI Lei
Institution:Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Abstract:Cochannel interference introduced by frequency reuse under space division multiple access can be reduced by controlling the frequency sharing according to the users'spatial separability.The system avoids placing highly correlated users in space into the same spatial multiplexing group.This paper describes a user spatial compatibility valuationcriterion based on channel matrix structure analysis. The interferences are evaluated using the distances between subspaces spanned by the users'channel matrixes.The analysis considers row space and column space.Simulation results show that the row space distance criterion significantly outperforms other criteria because it fully utilizes the information from the users'channel matrixes. As the dimensions of the users' channel matrixes increase, the matrix structure analysis-based criteria become even more efficient.
Keywords:multiple input multiple output (MIMO)  multiuser channel  radio resource management
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