Mobile WiMAX resource allocation design goals: Key features/factors/issues

Zaid G. Ali, R. B. Ahmad, Abid Yahya, L. A. Hassnawi

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

Abstract

The technical design challenge of Mobile WiMAX is to exploit the limited available spectrum of the downlink subframe efficiently while achieving the desired goals behind the resource management algorithms. Various goals can be achieved when the resource management algorithms exploited in the right direction. This paper presents the coordination between MAC layer scheduler objectives and PHY layer burst allocation algorithm design parameters. Utilizing PHY layer operation mode with MAC layer coordination leads to increase the proportion of the desired objectives achievement. The presented methodologies of the burst allocation algorithm design can achieve higher satisfaction of MAC requirements and avoid the limitations. The study has demonstrated that resource allocation algorithm requires many factors and parameters to be employed in the correct direction to enable efficient use of the downlink resources to satisfy MAC layer requirements.

Original languageEnglish
Title of host publicationAdvanced in Computer Science and Its Applications, CSA 2013
PublisherSpringer Verlag
Pages661-667
Number of pages7
ISBN (Print)9783642416736
DOIs
Publication statusPublished - Jan 1 2014
Event5th FTRA International Conference on Computer Science and its Applications, CSA 2013 - Danang, Viet Nam
Duration: Dec 18 2013Dec 21 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume279 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other5th FTRA International Conference on Computer Science and its Applications, CSA 2013
CountryViet Nam
CityDanang
Period12/18/1312/21/13

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Ali, Z. G., Ahmad, R. B., Yahya, A., & Hassnawi, L. A. (2014). Mobile WiMAX resource allocation design goals: Key features/factors/issues. In Advanced in Computer Science and Its Applications, CSA 2013 (pp. 661-667). (Lecture Notes in Electrical Engineering; Vol. 279 LNEE). Springer Verlag. https://doi.org/10.1007/978-3-642-41674-3_95