XIAO Hai-lin, ZHANG Wen-juan, NIE Zai-ping, WANG Ru. User Selection Based on Cuckoo Search Algorithm and Interference Alignment[J]. Journal of University of Electronic Science and Technology of China, 2017, 46(6): 801-805, 818. DOI: 10.3969/j.issn.1001-0548.2017.06.001
Citation: XIAO Hai-lin, ZHANG Wen-juan, NIE Zai-ping, WANG Ru. User Selection Based on Cuckoo Search Algorithm and Interference Alignment[J]. Journal of University of Electronic Science and Technology of China, 2017, 46(6): 801-805, 818. DOI: 10.3969/j.issn.1001-0548.2017.06.001

User Selection Based on Cuckoo Search Algorithm and Interference Alignment

  • 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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