A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

Aydin M. E., Kwan R., Leung C., Maple C., Zhang J.

Applied Soft Computing Journal, cilt.13, sa.5, ss.2990-2996, 2013 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 5
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.asoc.2011.12.007
  • Dergi Adı: Applied Soft Computing Journal
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.2990-2996
  • Anahtar Kelimeler: Hybrid swarm intelligence, Multiuser scheduling, Particle swarm optimization, Resource allocation, Simulated annealing
  • İstanbul Ticaret Üniversitesi Adresli: Hayır

Özet

Multiuser scheduling is an important aspect in the performance optimization of a wireless network since it allows multiple users to access a shared channel efficiently by exploiting multiuser diversity. To perform efficient scheduling, channel state information (CSI) for users is required, and is obtained via their respective feedback channels. In this paper, a more realistic imperfect CSI feedback, in the form of a finite set of Channel Quality Indicator (CQI) values, is assumed as specified in the HSDPA standard. A mathematical model of the problem is developed for use in the optimization process. A hybrid heuristic approach based on particle swarm optimization and simulated annealing is used to solve the problem. Simulation results indicate that the hybrid approach outperforms individual implementations of both simulated annealing and particle swarm optimization. © 2011 Elsevier B.V. All rights reserved.