Resource Optimization in Heterogeneous Cloud Radio Access Networks

被引：26
|
作者：
Dai, Haibo [1 ]
Huang, Yongming [2 ]
Wang, Jiaheng [2 ]
Yang, Luxi [2 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Internet Things, Nanjing 210003, Jiangsu, Peoples R China
[2] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Heterogeneous cloud radio access network; resource allocation; variational inequality; Stackelberg game; ALLOCATION;
D O I：
10.1109/LCOMM.2017.2787676
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This letter tackles the problem of sum-rate maximization via joint user association and power allocation in heterogeneous cloud radio access networks, while guaranteeing the quality-of-service requirements of all users. A generalized Stackelberg game is applied to this problem with the coupled strategy set of power allocation, and a centralized-distributed method is designed to achieve the optimal solution. Specifically, the user association problem is efficiently solved in a centralized manner and a distributed power allocation algorithm is proposed by using variational inequality theory.
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页码：494 / 497
页数：4
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