Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based on DQN

Abstract

The rapid development of communications industry has spawned more new services and applications. The sixth-generation wireless communication system (6G) network is faced with more stringent and diverse requirements. While ensuring performance requirements, such as high data rate and low latency, the problem of high energy consumption in the fifth-generation wireless communication system (5G) network has also become one of the problems to be solved in 6G. The wide-area coverage signaling cell technology conforms to the future development trend of radio access networks, and has the advantages of reducing network energy consumption and improving resource utilization. In wide-area coverage signaling cells, on-demand multi-dimensional resource allocation is an important technical means to ensure the ultimate performance requirements of users, and its effect will affect the efficiency of network resource utilization. This paper constructs a user-centric dynamic allocation model of wireless resources, and proposes a deep Q-network based dynamic resource allocation algorithm. The algorithm can realize dynamic and flexible admission control and multi-dimensional resource allocation in wide-area coverage signaling cells according to the data rate and latency demands of users. According to the simulation results, the proposed algorithm can effectively improve the average user experience on a long time scale, and ensure network users a high data rate and low energy consumption.

摘要

通信行业的快速发展催生了更多新业务与新应用。6G网络面临更严苛、更多样的需求。在保证高速率、低时延等性能要求的同时，5G网络中存在的高能耗问题也成为6G网络需要解决的问题之一。广域覆盖信令小区技术顺应未来无线接入网的发展趋势，具有低网络能耗、高资源利用率的优势。在广域覆盖信令小区中，多维资源按需分配是保证用户极致性能需求的重要技术手段，其效果将直接影响网络资源使用效率。本文构建以用户为中心的无线资源动态分配模型，并提出一种基于深度Q网络的资源动态分配算法。该算法可根据用户上报的数据速率和时延等需求，实现动态灵活的接纳控制及多维资源分配。仿真结果表明，所提算法可有效提高长时间尺度下网络平均用户体验，在资源分配过程中保证高速率和低能耗。