Title :
Energy-efficient resource allocation in shared full-duplex relaying cellular networks
Author :
Gang Liu ; Yu, F. Richard ; Hong Ji ; Leung, Victor C. M.
Author_Institution :
Key Lab. of Universal Wireless Comm., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Recent advances of self-interference cancellation techniques enable full-duplex relaying (FDR) systems, which transmit and receive simultaneously in the same frequency band with high spectrum efficiency. Unlike most existing works, we study the problem of energy efficient resource allocation in FDR networks. We consider a shared FDR deployment scenario, where a FDR relay is deployed at the intersection of three sectors in a cell. Firstly, a simple but practical transmission strategy is proposed to deal with the involved interferences, i.e., multi-access interference, multi-user interference and self-interference. Then, the joint resource allocation problem is formulated to maximize the network-level energy efficiency while taking the residual self-interference into account. Since the formulated problem is a mixed combinatorial and non-convex problem, we use Dinkelbach and discrete stochastic optimization methods to solve it efficiently. Simulation results are presented to show the effectiveness of the proposed scheme.
Keywords :
cellular radio; channel allocation; concave programming; energy conservation; interference suppression; relay networks (telecommunication); sensor placement; stochastic programming; telecommunication power management; Dinkelbach optimization method; FDR relay network deployment; discrete stochastic optimization method; energy efficient resource allocation problem; full duplex relaying cellular network; mixed combinatorial problem; multiaccess interference; multiuser interference; network level energy efficiency maximization; nonconvex problem; residual self-interference; self-interference cancellation; transmission strategy; Interference; Joints; Linear programming; Optimization; Relays; Resource management; Vectors; Dinkelbach method; Energy efficiency; FDR; discrete stochastic optimization; resource allocation;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7037204