DocumentCode :
659793
Title :
A Throughput Model Based on Prior Link Probability for Fiber Aided Wireless Mesh Networks
Author :
Qinglong Dai ; Guochu Shou ; Yihong Hu ; Zhigang Guo
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Wireless mesh networks (WMNs) are thought by many as one of the most potential networking technologies for next generation wireless networks. However, WMNs´ performance is vulnerable to the interference in the environment. In order to get higher bandwidth and data transmission rate, fiber links are used to assist the communication in WMNs. The new network is called fiber aided wireless mesh networks (FAWMNs). There are two kinds of nodes in FAWMNs: those which only support wireless link and those which simultaneously support wireless link and fiber link. Correspondingly, there are two kinds of manners for packets transmission in FAWMNs: (i) several single wireless links manner; (ii) the wireless-fiber- wireless link manner. These make the packet transmission have multiple path choices. In this paper, a throughput model based on prior link probability for FAWMNs is proposed. The results demonstrate that the introduction of fiber links can bring some positive changes on the distribution of links and a noticeable promotion for the throughput of the node in FAWMNs.
Keywords :
interference (signal); next generation networks; probability; radio-over-fibre; wireless mesh networks; FAWMN; fiber aided wireless mesh networks; interference; next generation wireless networks; packets transmission; prior link probability; throughput model; wireless-fiber- wireless link; Bandwidth; Optical fiber networks; Throughput; Wireless mesh networks; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
ISSN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2013.6692068
Filename :
6692068
Link To Document :
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