A novel artificial bee colony detection algorithm for massive MIMO system

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 2 T / per symbol, where N T denotes the transmitting antennas' number. The proposed ABC detection algorithm is efficient for massive MIMO system. KEYWORDS massive multiple input multiple output (MIMO) system; artificial bee colony (ABC); detection algorithm; bit error rate (BER); computational comlexity; spectral efficiency

A Hybrid Modified Method of the Sine Cosine Algorithm Using Latin Hypercube Sampling with the Cuckoo Search Algorithm for Optimization Problems

“…The proposed algorithm can also be applied as a detection algorithm in Massive Multi-Input Multi-Output (MIMO) by searching for the optimum solution vector in the modulation alphabet with linear detection. Such an optimization will result in the minimization of the Bit Error Rate (BER) for large-scale antenna [55]. In addition, the proposed optimization algorithm could also be run in a more complex antenna array synthesis to optimize locations, excitation amplitudes, and the excitation phase of array elements, achieving a high antenna directivity, small half-power beamwidth, low average side lobe level suppression, and predefined nulls mitigation [56].…”