Title
Sub-optimal method for non-convex energy efficient optimization of interference-limited system.
Abstract
In recent years, energy consumption of information and communication industry have received more and more attention. But the energy efficient optimization problem of interference-limited system is difficult to solve because it is a non-convex problem. In order to deal with this problem, two sub-optimal algorithms, based on dual theory and differ-concave theory respectively, are proposed in this paper. Under different signal to interference and noise ratio (SINR), there must have one of these algorithms can achieve the energy efficient upper bounder of interference-limited system. Besides the energy efficient performance, the proposed algorithms also have low complexity. the simulation results show that the proposed algorithms can get great convergence property by choosing initial value carefully. © 2013 IEEE.
Year
DOI
Venue
2013
10.1109/WCNC.2013.6554673
WCNC
Keywords
Field
DocType
optimization,bismuth,energy efficiency,interference,noise,convergence,sinr,energy conservation,transceivers
Convergence (routing),Energy conservation,Mathematical optimization,Efficient energy use,Computer science,Regular polygon,Interference (wave propagation),Initial value problem,Energy consumption,Optimization problem
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4673-5937-5
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Rui Zhu1167.74
Yunzhou Li234536.62
Chunhui Zhou3278.35
Jing Wang41038105.16