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...
Gespeichert in:
Veröffentlicht in: | IEEE communications letters 2018-03, Vol.22 (3), p.494-497 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |