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.

Keywords

6G / Wide-area coverage signaling cell / Multi-dimensional resource allocation / Deep Q-network (DQN)

RIGHTS & PERMISSIONS

2023 Zhejiang University Press