DocumentCode
266299
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
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
2631
Lastpage
2636
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037204
Filename
7037204
Link To Document