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 hi...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＇ channel matrixes. As the dimensions of the users＇ channel matrixes increase, the matrix structure analysis-based criteria become even more efficient.展开更多
文摘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＇ channel matrixes. As the dimensions of the users＇ channel matrixes increase, the matrix structure analysis-based criteria become even more efficient.
