Modeling of uplink power control for cognitive radio networks: Cooperative and noncooperative

Authors:
Wei Wang;Tao Peng;Wenbo Wang
Affiliations:
Department of Information Science and Electronic Engineering, Key Lab of Integrate Information Network Technology, Zhejiang University, Hangzhou, PR China and School of Information and Communicati ...;School of Information and Communications Engineering, Beijing University of Posts and Telecommunications, Beijing, PR China;School of Information and Communications Engineering, Beijing University of Posts and Telecommunications, Beijing, PR China
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2011

Citing 5
Cited 0

The average complexity of depth-first search with backtracking and cutoff

IBM Journal of Research and Development
Optimality of greedy power control and variable spreading gain in multi-class CDMA mobile networks

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Random Trees and the Analysis of Branch and Bound Procedures

Journal of the ACM (JACM)
A noncooperative power control game for multirate CDMA data networks

IEEE Transactions on Wireless Communications
Adaptive multirate CDMA for uplink throughput maximization

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.98

Visualization

Abstract

In this paper, the uplink power control problem is modeled by considering both cooperative and noncooperative methods respectively to protect licensed users in cognitive radio networks. The cooperative power control optimization problem is modeled as a concave minimization problem. According to the properties of the power control optimization problem, an improved branch and bound algorithm is proposed. On the other hand, for the noncooperative power control case, a game theoretic model with the exponential pricing function is adopted to restrict the interference to the licensed users. Further, Nash equilibrium for the power control game is discussed. Finally, the performance of the proposed models is evaluated by computer simulation.