在小型蜂窝网络中，用户设备（user equipment,UE）数量往往大于小基站（small base station,SBS）数量，每个SBS服务多个UE，同时每个UE可被多个SBS覆盖。如何选择合适的SBS为每个UE服务，是小型蜂窝网络面临的重要挑战之一。传统的多点协同（coordinated multiple point,CoMP）传输技术基于按比例公平策略进行资源分配，没有考虑系统动态性，整个系统资源利用率不高。本文提出了一种基于指数移动平均（exponential moving average,EMA）的CoMP方法，对每个时间片系统内所有UE与SBS传输效益按照优先级排序，增加高优先级设备在下一个时间片内的分配权重，使高权重的UE接受更多的SBS服务，最终实现资源动态调整。实验结果表明，基于指数移动平均的CoMP操作能够显著提升系统的达峰时间以及整个系统的吞吐效率，同时降低了系统的中断率，进而为物联网边缘系统提供更优的设备选择机制。
In small cell networks, the number of user equipment (UE) often exceeds the number of small base stations (SBS), with each SBS capable of serving multiple UE and each UE covered by multiple SBS. It is a significant challenge to decide the optimal SBS to serve each UE in small cell networks. Traditional coordinated multiple point (CoMP) operations, which allocate resources based on proportionate fairness, fail to consider the dynamic nature of the system, leading to suboptimal resource utilization. Therefore, this paper proposes a CoMP operation method based on exponential moving average (EMA). The proposed method prioritizes all UE and SBS at each time slot and increases the allocation weight for devices with high priority in the next time slot, enabling high-weight UE to receive services from more SBS and ultimately achieving dynamic resource adjustment. Experimental results demonstrate that the EMA-based CoMP operation significantly enhances system peak time and overall throughput efficiency while reducing the system’s dropout rate. Furthermore, it provides a better device selection mechanism for the internet of things edge system.
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