关键词: 大规模MIMO, 导频分配, 优化问题, 禁忌算法, 竞争算法

Abstract:

In view of pilot contamination caused by inter-cell interference in massive MIMO system, a scheme based on IGTSA（Improved Greedy and Tabu Search Algorithm） and CA（Competition Algorithm） is proposed. The proposed IGTSA is to add the mutation operation in the genetic algorithm to the tabu search algorithm to avoid it falling into the local optimal solution, and improve the global search ability. In order to better realize the coordination of global search and local search, the introduction of CA optimizes the pilot allocation scheme with the goal of achieving max achievable rate. Compared with local search algorithms, such as greedy algorithm and tabu search algorithm, the proposed scheme can obtain better system performance. Simulation results and analysis prove the effectiveness of the algorithm.

Key words: massive MIMO, pilot allocation, optimization problem, tabu algorithm, competition algorithm