DocumentCode :
3069740
Title :
An IEEE 802.11 Model for the Planning of Wireless Mesh Networks
Author :
Max, Sebastian ; Zang, Yunpeng ; Zhou, Yuan ; Zhang, Huimin
Author_Institution :
Dept. of Commun. Networks (ComNets), RWTH Aachen Univ., Aachen, Germany
fYear :
2009
fDate :
20-23 Sept. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Service-area specific optimization is a necessity for large-scale wireless networks. For this task, a model to estimate the quality of a radio network configuration is required. In the case of cellular radio networks, much work exists on models for Radio Network Planning (RNP). This work cannot be applied to optimize IEEE 802.11-based Wireless Mesh Networks (WMNs), as their multi-hop structure and the distributed medium access deviates significantly from cellular networks. In this paper, we present a model for IEEE 802.11-based WMNs that fulfills the following criteria: (i) It has low complexity, enabling iterative optimization; (ii) it has sufficient accuracy in comparison to simulation; (iii) it includes a physical layer model that takes into account interference and multiple transmission rates.
Keywords :
cellular radio; iterative methods; optimisation; telecommunication network planning; telecommunication standards; IEEE 802.11 model; cellular radio networks; distributed medium access; iterative optimization; large-scale wireless networks; multihop structure; physical layer model; radio network configuration; radio network planning; service-area specific optimization; wireless mesh networks; Computational modeling; Discrete event simulation; Interference; Land mobile radio cellular systems; Radio network; Runtime; Spread spectrum communication; Throughput; Wireless mesh networks; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th
Conference_Location :
Anchorage, AK
ISSN :
1090-3038
Print_ISBN :
978-1-4244-2514-3
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VETECF.2009.5378933
Filename :
5378933
Link To Document :
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