DocumentCode :
3070223
Title :
Interference Analysis of Co-Existing Wireless Body Area Networks
Author :
Wang, Xuan ; Cai, Lin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Given the ever-increasing popularity of wireless body area networks (WBANs), in some application scenarios, many WBANs may operate densely and lead to a high mutual interference. Excessive interference may severely degrade the network performance, which is called the network co- existence problem. It is critical to fully understand the network co-existence problem to ensure the effectiveness and efficiency of WBANs. In this paper, we investigate the network interference and co-existence problem for the scenarios with densely deployed WBANs. Specifically, we model the probability distribution of interference among co- existing WBANs using the advanced Geometrical Probability approach. We then approximate the total inter-cell interference by a simple gamma distribution which is accurate according to the simulation results. We further use the interference distribution model to solve the practical network planning issues for WBANs. That is, we quantify the minimum network distance to ensure the signal to interference and noise ratio (SINR) for the boundary nodes and the average SINR of the whole system, respectively.
Keywords :
body area networks; gamma distribution; radiofrequency interference; telecommunication network planning; SINR; WBAN efficiency; boundary nodes; gamma distribution; geometrical probability approach; intercell interference; interference distribution model; mutual interference; network co-existence problem; network interference; network performance degradation; network planning issues; probability distribution; signal to interference and noise ratio; wireless body area networks; Approximation methods; Interference; Network topology; Peer to peer computing; Signal to noise ratio; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6133624
Filename :
6133624
Link To Document :
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