Title
Energy-Efficient OFDMA-Based Two-Way Relay
Abstract
Energy-efficient orthogonal frequency division multiple access (OFDMA) aims to relieve the booming energy consumption in wireless communications networks and has recently received lots of attention. Meanwhile, two-way relay has been extensively studied and proves to be more spectral-efficient than direct transmission and one-way relay in many scenarios. In this paper, we study energy-efficient resource allocation for OFDMAbased two-way relay, maximizing the aggregated energy efficiency (EE) utility while provisioning proportional fairness in EE among different terminal pairs. The energy-efficient joint power and subchannel allocation and active subchannel selection problem is mixed-integer combinatorial and further demonstrates to be nonconvex. To approach the performance limit, we first find an upper-bound solution relying on continuous relaxation and the Lagrange dual method. To reduce the computational complexity, we separate power allocation and subchannel assignment. To this regard, we exploit the hidden concavity and the pseudoconcavity in the subproblems for any fixed subchannel assignment and propose an EE-oriented sequential subchannel assignment policy. Besides, we discover the sufficient condition for early termination of the sequential subchannel assignment without losing the EE optimality. Simulation results demonstrate that the proposed energy-efficient OFDMA-based two-way relay can achieve much larger EE utility while provisioning proportional fairness in EE among different terminal pairs compared to its spectral-efficient counterpart.
Year
DOI
Venue
2015
10.1109/TCOMM.2015.2455039
Communications, IEEE Transactions
Keywords
Field
DocType
Relays,Resource management,Power demand,Wireless communication,Joints,OFDM,Frequency conversion
Mathematical optimization,Wireless,Efficient energy use,Computer science,Orthogonal frequency-division multiple access,Electronic engineering,Resource allocation,Energy consumption,Relay,Orthogonal frequency-division multiplexing,Computational complexity theory
Journal
Volume
Issue
ISSN
PP
99
0090-6778
Citations 
PageRank 
References 
11
0.54
24
Authors
3
Name
Order
Citations
PageRank
Cong Xiong168133.25
Lu Lu224813.64
Geoffrey Ye Li39071660.27