Distributed iterative power allocation in cognitive wireless mesh networks

As the limited spectrum resource becoming over crowded, cognitive wireless mesh networks have great flexibility to improve the spectrum utilization by opportunistically accessing the authorized frequency bands. One of critical challenges for realizing such networks is how to adaptively allocate transmit powers and frequencies among secondary users (SUs) while maintaining the quality of service (QoS) requirement of the primary users (PUs). In this paper, we consider the power control problem in cognitive wireless mesh network formed by clusters under the total transmit power constraint by each SU as well as the mean-squared error (MSE) constraint by the PU. The problem is modeled as a non-cooperative game. A distributed iterative power allocation algorithm is proposed to reach the Nash equilibrium (NE). It offers an opportunity for SUs to negotiate the best use of power and frequency with each other. Numerical results are presented to illustrate the efficiency and accuracy of the algorithm.