为了使得大规模多输入多输出(MIMO)系统的上行链路可达速率最大化，提出一种基于匹配博弈的导频分配(PA-MG)算法.在用户侧，根据用户效用函数生成对导频的偏好列表，并向排列最优的导频发出申请；在基站侧，根据导频效用函数生成对请求用户的偏好列表，并依次将导频分配给排列最优的用户，直到完成所有用户的导频分配.仿真结果表明：相比于潜博弈的导频分配(PG-PA)算法，所提PA-MG算法支持的小区规模更大、复杂度更低；相比于WGC-PD(Weighted Graph Coloring Based Pilot Decontamination)算法，PA-MG算法能够获得更大的上行链路可达速率，各用户的信干噪比分布更均匀，且对阴影衰落的鲁棒性更强.
In order to maximize the uplink achievable sum rate of the multi-cell and multi-user massive multiple-input multiple-output (MIMO) system, a pilot allocation algorithm based on matched game (PA-MG) between users and pilots is proposed. Firstly, on the user side, a preference list of pilots is generated according to the user utility function, and an application is made to the pilots with the best arrangement for all users. Then, on the base station side, the preference list of the requesting users is generated according to the pilot utility function, and the pilots are assigned to the users with the best arrangement in turn until all users are assigned with the pilot. Simulation results show that the PA-MG algorithm supports larger cellular and less time complexity than the pilot allocation based on potential game (PG-PA) algorithm. Compared with the weighted graph coloring based pilot decontamination (WGC-PD) algorithm, the PA-MG algorithm can achieve greater uplink achievable sum rate, making the distribution of signal to interference plus noise ratio (SINR) of each user be more uniform, and the robustness to shadow fading is stronger.
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