Handoff management scheme for multimedia MSS networks using genetic algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A new method of handoff management scheme using the genetic algorithm for use in MSS networks is proposed in this paper. An analytical model of the inter beam handover is derived from the constellation diversity characteristics, the spotbeam dimensions and the user's location. Synchronous and asynchronous best effort traffic model are considered. The real mobility management task (inter beam handover) is proposed. An analytical model of the inter beam handover is derived from the constellation diversity characteristics, the spotbeam dimensions and the user's location. The GA concept is applied to allocate the new call at one channel in one cell to another one where the traffic intensity is zero or low at that time. Simulation results show that the QoS performance in terms of the call blocking, call dropping probability and the capacity of the system (Erlang per channel) can be improved.

Original languageEnglish
Title of host publication6th International Conference on Advanced Communication Technology
Subtitle of host publicationBroadband Convergence Network Infrastructure
Pages255-260
Number of pages6
Publication statusPublished - 28 Jun 2004
Event6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure - Phoenix Park, Korea, Republic of
Duration: 9 Feb 200411 Feb 2004

Publication series

Name6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure
Volume1

Conference

Conference6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure
CountryKorea, Republic of
CityPhoenix Park
Period9/02/0411/02/04

Keywords

  • Genetic Algorithms
  • Inter beam handover
  • MSS Networks

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  • Cite this

    Asvial, M. (2004). Handoff management scheme for multimedia MSS networks using genetic algorithms. In 6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure (pp. 255-260). (6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure; Vol. 1).