5G sets the foundation for an era of creativity with its faster speeds, increased data throughput, reduced latency, and enhanced IoT connectivity, all enabled by Massive MIMO (M-MIMO) technology. M-MIMO boosts network efficiency and enhances user experience by employing intelligent user scheduling. This paper presents a user scheduling scheme and pilot assignment strategy designed for IoT devices, emphasizing mitigating pilot contamination, a key obstacle to improving spectral efficiency (SE) and system scalability in M-MIMO networks. We utilize a user clustering-based pilot allocation scheme to boost IoT device scalability in M-MIMO systems. Additionally, our smart pilot allocation minimizes interference and enhances SE by treating pilot assignment as a graph coloring problem, optimizing it through integer linear programming (ILP). Recognizing the computational complexity of ILP, we introduced a binary search-based heuristic predicated on interference threshold to expedite the computation, while maintaining a near-optimal solution. The simulation results show a significant decrease in the required pilot overhead (about 17%), and substantial enhancement in SE (about 8-14%).

通过用户聚类的试验分配方案，本文提出了一种为物联网设备设计的用户调度方案和导频分配策略，以减轻导频污染对M-MIMO网络中的频谱效率和系统可扩展性的影响，并通过将导频分配视为图着色问题来优化干扰，从而最大限度地提高频谱效率。仿真结果显示导频开销显著减少（约17%），同时频谱效率大幅提升（约8-14%）。

物联网在大规模MIMO系统中的智能飞行员分配：可扩展物联网基础设施的一种路径