DocumentCode
3131121
Title
Bandwidth partitioning for Mobile WiMAX service provisioning
Author
Khemiri, Sondes ; Boussetta, Khaled ; Achir, Nadjib
Author_Institution
LIP6, Univ. Paris 6, Paris
fYear
2008
fDate
24-27 Nov. 2008
Firstpage
1
Lastpage
5
Abstract
This paper addresses the issue of wireless bandwidth partitioning of a mobile WiMAX cell. We consider a complete partitioning strategy, where the wireless bandwidth capacity of a cell is divided into trunks. Each partition is strictly reserved to a particular type of connection. Precisely, we distinguish four IEEE 802.16e 2005 service classes: UGS, rtPS, nrtPS and ErtPS. As we consider mobility, we also differentiate new call request from handoff ones. In addition, we take into consideration the adaptive modulation and coding (AMC) scheme, through the partition of the cell into different areas associated to a particular modulation and coding scheme. The purpose of the paper is to determine, using an analytical model and a heuristic approach, the nearly-optimal sizes of the partition sizes dedicated to each type of connection, which is characterized by 1) its service class, 2) type of request and 3) modulation and coding scheme. The main concern here is to propose simple and robust computational methods, which can be easily and efficiently used to dimension a mobile WiMAX network.
Keywords
WiMax; adaptive codes; adaptive modulation; mobile computing; ErtPS; IEEE 802.16e 2005 service classes; UGS; adaptive coding scheme; adaptive modulation scheme; complete partitioning strategy; mobile WiMAX service provisioning; nrtPS; rtPS; wireless bandwidth capacity; wireless bandwidth partitioning; Bandwidth; Channel allocation; Mathematical model; Modulation coding; Performance analysis; Proposals; Resource management; Robustness; State-space methods; WiMAX;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Days, 2008. WD '08. 1st IFIP
Conference_Location
Dubai
Print_ISBN
978-1-4244-2828-1
Electronic_ISBN
978-1-4244-2829-8
Type
conf
DOI
10.1109/WD.2008.4812926
Filename
4812926
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