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针对大规模多输入多输出时分双工系统中的导频污染问题,提出一种按照用户区域优先级智能分配导频序列的算法。该算法利用最小均方估计对信道进行估计,得到上行链路信干噪比的表达式,然后以距离为约束条件、信干噪比为目标函数,得到目标函数最优值。进而将小区区域进行分类,信道质量较好的区域随机分配导频序列,信道质量较差区域按照优先级智能分配导频序列,最后将所提算法和传统的随机分配算法进行比较。理论和仿真结果表明:所提算法在提高系统信干噪比、系统容量方面均有较好的效果,能够有效地降低导频污染对通信性能的影响。
Aiming at the problem of pilot pollution in large-scale multi-input and multi-output time-division duplex system, an algorithm of intelligently allocating pilot sequences according to user’s priority is proposed. The algorithm estimates the channel using the least-mean-square estimation and obtains the SINR of the uplink. Then, taking the distance as the constraint and the SINR as the objective function, the optimal value of the objective function is obtained. Furthermore, the cell areas are classified. The pilot channels are randomly allocated in the areas with good channel quality. The areas with poor channel quality are allocated the pilot sequences intelligently according to priorities. Finally, the proposed algorithm is compared with the traditional random allocation algorithm. Theoretical and simulation results show that the proposed algorithm has good effects in improving system SINR and system capacity, and can effectively reduce the impact of pilot pollution on communication performance.