为了实现蜂窝系统中单小区边缘用户正常通信,减少相邻小区间多个边缘用户对本小区边缘用户造成的干扰,提出了一种基于布谷鸟搜索算法的用户选择和干扰对齐算法.该算法首先用布谷鸟搜索算法对小区边缘用户进行选择,接着采用干扰对齐方法消除相邻小区间的干扰,最后通过预编码和基于最小均方差(MMSE)译码方法消除小区内用户间的干扰.该布谷鸟搜索算法与快速排序搜索算法相比具有更低的时间复杂度.数值分析表明与基于迫零算法的译码方法相比,该译码方法能够提高系统容量2 b?s-1?Hz-2,改善误码率4 dB.%In cellular system, to reduce the interference of the cell-edge users and ensure communication among the cell-edge users of a single cell, a user selection scheme based on cuckoo search algorithm and interference alignment algorithm is proposed. First, the cell-edge users are selected by the cuckoo search algorithm. Then interference alignment scheme is adopted to eliminate interference. Finally, an encoding and decoding based on MMSE criterion are applied to eliminate interference among users. Compared with the quick sort search algorithm, the proposed scheme based on cuckoo search algorithm has less time complexity. And numerical results show that, compared to zero-forcing decoding, the proposed algorithm will increase the system capacity by 2 b?s-1?Hz-2, and the bit error rate improvement is about 4 dB.
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