Artificial fish swarm algorithm based pilot allocation in massive MIMO system

In order to solve the pilot pollution problem and realize the low complexity pilot allocation in 5G massive multiple-input and multiple-output (MIMO) communication system, we propose an artificial fish swarm algorithm based pilot allocation scheme in this paper. The algorithm is an imitation of the natural fish activities. Through the search of the region related to the largest user sum rate, we can find the optimal pilot distribution scheme. The pilot pollution model and muti-cell massive MIMO system model are presented. The artificial fish swarm algorithm is employed to find the optimal solution for the pilot allocation. Numerical results show the efficiency and advantages of the proposed algorithm compared with the conventional algorithm, such as Greedy algorithm and Tabu algorithm.