Resource allocation and energy trading in the short blocklength regime for radio access networks

被引:1
|
作者
Cao, Yu [1 ]
Zhou, Yuchen [1 ]
Chen, Jian [1 ]
Yang, Long [1 ]
He, Bingtao [1 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
mobile computing; radio access networks; resource allocation; SYSTEMS;
D O I
10.1049/cmu2.12684
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the large-scale deployment of communication and computation units, the conventional radio access network has been gradually transformed into a sophisticated Cyber-Physical System. Since the access network is put forward higher expectations for ultra-reliable and low-latency services, Short-Packet Communications (SPC) based on Finite Blocklength Codes can be adopted to further decrease network latency and enhance communication reliability. Considering the interaction among the service provider, the network operator, and users, a three-stage Stackelberg game is constructed to dynamically arrange communication and computation resources. In this paper, the tripartite interaction problem is modelled as a generalized Nash equilibrium problem, and the reverse induction method is employed to achieve the sub-game equilibrium. To solve the problem of maximizing tripartite utilities, the authors propose an iterative algorithm for jointly managing resource allocation and tripartite pricing. Simulation results show that compared with the benchmark, the proposed scheme can effectively improve the utilities of users, the service provider, and the network operator and achieve a win-win situation. For content delivery services in the future network, a Stackelberg game model between service providers, network operators, and users under the short transmission block scheme is proposed to improve network utility and service quality.image
引用
收藏
页码:2119 / 2131
页数:13
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