Resource Optimization in Heterogeneous Cloud Radio Access Networks

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 strat...

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Veröffentlicht in:IEEE communications letters 2018-03, Vol.22 (3), p.494-497
Hauptverfasser: Dai, Haibo, Huang, Yongming, Wang, Jiaheng, Yang, Luxi
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2017.2787676