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Joint design on energy efficiency and throughput for non-infrastructure based cognitive radio networks

In this paper, two critical issues, i.e., energy efficiency and throughput, are jointly considered for non-infrastructure based cognitive radio networks. We formulated a Mixed Integer Non-linear Programming (MINP) Problem to determine the power control and channel assignment so as to minimize energy consumption and simultaneously maximize the network throughput. Due to the NP-hard property of the MINP, the MINP is decomposed into |N| problems so that each problem can be distributedly and locally solved at each node. Furthermore, a Lagrangian Relaxation based Heuristic (LRH) was proposed to approximate the solution of each problem. In simulations, we perform LRH on five randomly generated networks to observe the influence of transmission power on the network throughput.