A novel artificial bee colony detection algorithm for massive MIMO system. Issue 17 (20th October 2016)

• Record Type: Journal Article
• Authors: Li, Lin; Meng, Weixiao; Ju, Shihao
• Is Part Of: Wireless communications and mobile computing. Volume 16:Issue 17(2016)
• Page Start: 3139
• Page End: 3152
• Publication Date: 2016-10-20
• Subjects: massive multiple input multiple output (MIMO) system -- artificial bee colony (ABC) -- detection algorithm -- bit error rate (BER) -- computational comlexity -- spectral efficiency; Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1002/wcm.2754
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract: As a hot‐spot of 5G, the research on detection algorithms for massive multiple input multiple output (MIMO) system is significant but difficult. The traditional MIMO detection algorithms or their improvements are not appropriate for large scaled antennas. In this paper, we propose artificial bee colony (ABC) detection algorithm for massive MIMO system. As one advanced technology of swarm intelligence, ABC algorithm is most efficient for large scaled constrained numerical combinatorial optimization problem. Therefore, we employ it to search the optimum solution vector in the modulation alphabet with linear detection result as initial. Simulation and data analysis prove the correctness and efficiency. Versus the scale of massive MIMO systems from 64 × 64 to 1024 × 1024 with uncoded four‐quadrature‐amplitude‐modulation signals, the proposed ABC detection algorithm obtains bit error rate of 10 − 5 at low average received signal‐to‐noise‐ratio of 12 dB with rapid convergence rate, which approximates the optimum bit error rate performance of the maximum likelihood and achieves the theoretical optimum spectral efficiency with low required average received signal‐to‐noise‐ratio of 10 dB in similar increasing regularity, over finite time of low polynomial computational complexity of O ( N T 2 ) per symbol, where N T denotes the transmitting antennas' number. The proposed ABC detection algorithm is efficient for massive MIMO system. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : We propose a novel artificial bee colony (ABC) detection algorithm for massive multiple input multiple output (MIMO) system. During finite time of two orders polynomial low computational complexity, it obtains the approximate optimum bit error rate performance of the maximum likelihood with rapid convergence rate and achieves theoretical optimum spectral efficiency with similar increasing regularity at low required average received signal‐to‐noise ratio. The proposed ABC detection algorithm is efficient for massive MIMO system.