Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (5): 59-62.doi: 10.13190/jbupt.201205.59.houh

• Papers • Previous Articles     Next Articles

Weighted Proportional Fairness Adaptive Particle Swarm Optimization Cross-Layer Resource Allocation Algorithm

HOU Hua, LI Gen-xuan, ZHOU Wu-yang   

  1. 1. School of Information Science and Electrical Engineering, Hebei University of Engineering2. Department of Electronic Engineering and Information Science, University of Science and Technology of China
  • Received:2011-08-29 Revised:2012-02-28 Online:2012-10-28 Published:2012-07-06
  • Contact: hua hou E-mail:hh110040@gmail.com

Abstract:

A new weighted proportional fairness adaptive particle swarm optimization cross-layer resource allocation algorithm (WAPCRA) is proposed for multi-user orthogonal frequency division multiplexing (OFDM) system. The algorithm executes weighted proportional fairness scheduling in the media access control layer, leads adaptive particle swarm optimization algorithm into its resource allocation and derives a new power allocation pattern in the physical layer. Simulation demonstrates that WAPCRA algorithm can increase effectively the total system rates on the basis of low complexity, guaranteeing users 'fairness and meeting the delay of users’ traffic.

Key words: orthogonal frequency division multiplexing system, adaptive particle swarm optimization algorithm, heterogeneous traffic, proportional fairness

CLC Number: