Energy-saving cross-layer optimization for multihop cognitive networks
Feng Tian, Qi Cui, Pengchao Xing, Wenjun Zhu, Dapeng Li, Zhen Yang · 2016
Energy consumption reducing in wireless communications has attracted increasing attention recently. Power control is a key technology for cognitive networks, which can affect energy saving of cognitive network and interfere with primary networks. In this paper, we jointly consider power control in physical layer, scheduling in link layer and routing in network layer to present a cross-layer optimization for power control in multi-hop cognitive network and formulate a mixed integer nonlinear program (MINLP) problem. To solve it, we develop a piece-wise linearization technique to transform the nonlinear term in constraints into the linear one and finally obtain the approximate optimal solution. Simulation results demonstrate the efficacy of the solution procedure and the optimal power control can achieve energy saving.