Capacity Estimation by Genetic Algorithm in Wireless Networks with Successive Interference Cancellation
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Successive interference cancellation (SIC) is an effective multipacket reception scheme to combat interference at the physical layer. This paper studies the problem of maximizing the number of successful simultaneous transmissions (i.e., transmission capacity) in a wireless network with SIC at the physical layer. First, an interference model based on the physical interference model is proposed to characterize the sequential detection nature of SIC. Then, an algorithm is presented to evaluate whether or not a link set is feasible. Next, recognizing capacity maximization is a NP-hard problem, a novel approximation solution based on the genetic algorithm (GA) is provided. Finally, the design and parameter setting of the GA solution are discussed, and the performance is validated by various simulations.

    Reference
    Related
    Cited by
Get Citation

吕绍和,李雯,沈虎,王晓东.相继干扰抵消的无线网络基于遗传算法的容量估计.软件学报,2015,26(S2):71-77

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 02,2014
  • Revised:August 22,2014
  • Adopted:
  • Online: January 11,2016
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063