DocumentCode
43235
Title
A Refined Convergence Condition for Iterative Waterfilling Algorithm
Author
Mingjun Dai ; Shengli Zhang ; Bin Chen ; Xiaohui Lin ; Hui Wang
Author_Institution
Coll. of Inf. Eng., Shenzhen Univ., Shenzhen, China
Volume
18
Issue
2
fYear
2014
fDate
Feb-14
Firstpage
269
Lastpage
272
Abstract
In a multi-user spectrum optimization problem, iterative waterfilling is normally used as a distributed power allocation algorithm. In this letter, we derive a new sufficient condition for its convergence, which is more relaxed than previous conditions. Our result strengthens the fact that the convergence of iterative waterfilling is dependent on signal-to-noise ratio (SNR), and that convergence is much easier in the low SNR regime.
Keywords
iterative methods; mobile computing; optimisation; SNR; distributed power allocation algorithm; iterative waterfilling algorithm; multiuser spectrum optimization problem; refined convergence condition; signal-to-noise ratio; spectrum resource scarce; ubiquitous mobile communication; Convergence; Interference channels; Resource management; Signal to noise ratio; Vectors; Frequency selective; Gaussian interference channel; iterative waterfilling;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2013.121813.132226
Filename
6697916
Link To Document