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
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.121813.132226
