Massive multiple-input multiple-output (MIMO) is projected as the most favorable technology among the latest for quality cellular services in fifth-generation wireless networks. This technology has been extensively studied for analyzing its advantages and bottlenecks. One of the main bottlenecks of massive MIMO that has come forward is the pilot contamination that is caused by the interference of signals sent by the users using similar pilots. The studies done in this regard have considered the inter-cell interference occurring due to pilot reuse and have successfully eliminated the same. In this paper, the pilot contamination taking place due to pilot reuse within the same cell in the uplink direction is taken into consideration. An efficient greedy algorithm has been proposed in this regard which greedily finds the user combinations with less interference using their channel coefficients and assigns them the pilots efficiently. Numerical results prove the efficacy of the algorithm in the context of eliminating the restraining effects of pilot contamination on system throughput in intra-cellular environment. Moreover, the proposed scheme proves to be superior to some of the existing schemes in this domain.

大规模多输入多输出 (MIMO) 预计将成为第五代无线网络中提供优质蜂窝服务的最新技术中最有利的技术。该技术已被广泛研究以分析其优势和瓶颈。已经出现的大规模 MIMO 的主要瓶颈之一是由使用类似导频的用户发送的信号干扰引起的导频污染。在这方面所做的研究已经考虑了由于导频重用而发生的小区间干扰，并成功消除了这些干扰。在本文中，考虑了由于上行链路方向上同一小区内的导频复用而发生的导频污染。在这方面已经提出了一种有效的贪婪算法，该算法使用它们的信道系数贪婪地找到干扰较少的用户组合，并有效地为它们分配导频。数值结果证明了该算法在消除蜂窝内环境中导频污染对系统吞吐量的抑制作用方面的有效性。此外，所提出的方案被证明优于该领域的一些现有方案。