Efficient Power Allocation for Multiuser Cognitive Radio Networks

Cognitive radio has been recently considered as a flexible spectrum usage model to improve the spectrum efficiency. In this paper, we develop a new power allocation approach by geometric programming (GP) to realize the coexistence of a primary user (PU) and multiple cognitive users (CUs) in the same frequency band. The objective is to minimize the total power consumption of CUs while guaranteeing the not only protection of PU but also the quality of service (QoS) of multiple CUs, which is different from previous works. In order to facilitate the centralized computation, a distributed algorithm is developed to adaptively adjust the transmit power of each CU. Numerical results are provided to show the effectiveness of the proposed algorithm in power saving.

[1]  Wei Zhang,et al.  Power Control in Cognitive Radio Systems Based on Spectrum Sensing Side Information , 2007, 2007 IEEE International Conference on Communications.

[2]  Yunzhou Li,et al.  A Novel Power Control Approach Based on ϵ-Greedy Monte Carlo Method in Cognitive Radio System , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[3]  Daniel Pérez Palomar,et al.  Power Control By Geometric Programming , 2007, IEEE Transactions on Wireless Communications.

[4]  David Tse,et al.  Linear Multiuser Receivers: Effective Interference, Effective Bandwidth and User Capacity , 1999, IEEE Trans. Inf. Theory.

[5]  Guodong Zhao,et al.  Probability-Based Transmit Power Control for Dynamic Spectrum Access , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[6]  Qilian Liang,et al.  An Efficient Power Control Scheme for Cognitive Radios , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[7]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[8]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[9]  Gerard J. Foschini,et al.  A simple distributed autonomous power control algorithm and its convergence , 1993 .