Abstract | ||
---|---|---|
This paper addresses the issue of wireless resource allocation of a Mobile WiMAX cell based on OFDMA access technique. We compare two strategies: the MAX SNR which is the most used channel assignment technique and our proposal which is based on channel condition learning. As we distinguish four IEEE 802.16e-2005 service classes: UGS, rtPS, nrtPS and ErtPS, we combine these strategies with a scheduler block in order to satisfy the QoS constraints of these classes. In addition, we take into consideration the Adaptive Modulation and Coding (AMC) scheme, through the selection of the slot which is based on the modulation scheme. The main concern here is to propose a simple method to assign WiMAX physical resources called slot to satisfy QoS constraints of a user's scheduled MPDUs, which can be easily and efficiently used in a realistic Mobile WiMAX network. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/VETECS.2010.5493893 | Vehicular Technology Conference |
Keywords | Field | DocType |
IEEE standards,OFDM modulation,WiMax,access protocols,adaptive modulation,channel allocation,frequency division multiple access,mobile radio,modulation coding,quality of service,resource allocation,IEEE 802.16e networks,MAX SNR,OFDMA access technique,QoS constraints,WiMAX physical resources,adaptive modulation and coding scheme,channel assignment technique,channel condition learning,combined MAC resource allocation mechanism,mobile WiMAX cell network,physical resource allocation mechanism,wireless resource allocation | Link adaptation,Mobile radio,Computer science,Computer network,Quality of service,WiMAX,Resource allocation,IEEE 802,Channel allocation schemes,Orthogonal frequency-division multiplexing | Conference |
ISSN | ISBN | Citations |
1550-2252 E-ISBN : 978-1-4244-2519-8 | 978-1-4244-2519-8 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sondes Khemiri | 1 | 15 | 3.02 |
Guy Pujolle | 2 | 2015 | 267.64 |
Khaled Boussetta | 3 | 193 | 27.71 |
Nadjib Achir | 4 | 131 | 22.92 |