Paper Info
Title
Energy Efficiency and Interference Neutralization in Two-Hop MIMO Interference Channels
Abstract
The issue of energy-aware resource allocation in an amplify-and-forward (AF) relay-assisted multiple-antenna interference channel (IC) is considered. A novel interference neutralization (IN) scheme is proposed for relay design and, based on the IN relay matrix design, two algorithms are developed to jointly allocate the users' transmit powers, beamforming (BF) and receive filters. The first algorithm considers a competitive scenario and employs a noncooperative game-theoretic approach to maximize the individual energy efficiency (EE) of each communication link, defined as the ratio of the achievable rate over the consumed power. The resulting algorithm converges to a unique fixed point, has limited complexity, and can be implemented in a distributed fashion. The second algorithm employs fractional programming tools and sequential convex optimization to centrally allocate the users' transmit powers, BF, and receive filters for global energy efficiency (GEE) maximization. The resulting algorithm is guaranteed to converge and has limited computational complexity. Numerical results show that the competitive IN design achieves virtually the same performance as the cooperative design if IN is feasible, while the gap is small if perfect IN is not achievable.
Year
DOI
Venue
2014
10.1109/TSP.2014.2364789
IEEE Transactions on Signal Processing
Keywords
DocType
Volume
MIMO communication,amplify and forward communication,antenna arrays,array signal processing,computational complexity,convex programming,energy conservation,filtering theory,game theory,interference suppression,matrix algebra,relay networks (telecommunication),resource allocation,AF IC,BF,EE,GEE,IN relay matrix design,amplify-and-forward relay-assisted multiple-antenna interference channel,beamforming,communication link,computational complexity,energy-aware resource allocation,fractional programming tools,global energy efficiency maximization,interference neutralization,noncooperative game-theoretic approach,receive filters,relay design,sequential convex optimization,two-hop MIMO interference channels,unique fixed point,user transmit power allocation,5G networks,CoMP transmission,cooperative networks,energy efficiency,fractional programming,game theory,green communications,interference networks,power control,relay systems,resource allocation
Journal
62
Issue
ISSN
Citations 
24
1053-587X
3
PageRank 
References 
Authors
0.38
0
3
Name
Order
Citations
PageRank
Alessio Zappone1164169.84
Eduard A. Jorswieck270745.58
S. Buzzi369347.65