Total Throughput Capacity Maximization in Cooperative Cognitive Radio Relay Networks

Wireless networks are burdened with the demand of providing higher data rates for the user devices connected to the wireless networks. This demand presents a huge challenge for the traditional radio resource constrained wireless communication networks. The cognitive radios and cooperative communication techniques have emerged to offer promising solutions to the burden of higher data rate demands. This paper addresses the problem of radio resource management in cooperative cognitive radio relay networks (CCRRN). In resource-constrained networks, a uniform bandwidth allocation scheme may not be efficient for the connected wireless multi-users. In this paper, a convex optimization analytical framework is used to investigate the problem of radio resource management in CCRRN. A joint optimal resource allocation (JORA) for power and bandwidth allocation strategy for the maximization of the total throughput capacity of all users in the networks is proposed. The formulated radio resource management problem is proved to be a standard convex optimization problem. The convex optimization problem is solved efficiently using the SNOPT solver package. The SNOPT solver is implemented in the MATLAB/TOMLAB software environment. The numerical results showed that the JORA scheme significantly outperformed the equal bandwidth (EQBW) scheme in terms of throughput capacity.