Paper Info
Title
Body Area Networks performance analysis using UWB.
Abstract
The successful realization of a Wireless Body Area Network (WBAN) using Ultra Wideband (UWB) technology supports different medical and consumer electronics (CE) applications but stand in a need for an innovative solution to meet the different requirements of these applications. Previously, we proposed to use adaptive processing gain (PG) to fulfill the different QoS requirements of these WBAN applications. In this paper, interference occurred between two different BANs in a UWB-based system has been analyzed in terms of acceptable ratio of overlapping between these BANs' PG providing the required QoS for each BAN. The first BAN employed for a healthcare device (e.g. EEG, ECG, etc.) with a relatively longer spreading sequence is used and the second customized for entertainment application (e.g. wireless headset, wireless game pad, etc.) where a shorter spreading code is assigned. Considering bandwidth utilization and difference in the employed spreading sequence, the acceptable ratio of overlapping between these BANs should fall between 0.05 and 0.5 in order to optimize the used spreading sequence and in the meantime satisfying the required QoS for these applications.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6609726
EMBC
Keywords
Field
DocType
body area network,health care,medical applications,interference performance analysis,wireless body area network,body area networks,medical electronics applications,ds-uwb,consumer electronics,ecg,healthcare device,bandwidth utilization,spreading sequence,biomedical equipment,consumer electronics applications,adaptive processing gain,overlapping ratio,uwb-based system,eeg,ultrawideband technology,biomedical electronics,entertainment applications,ultra wideband technology,bit error rate,interference,wireless communication,signal to noise ratio,throughput
Headset,Wireless,Computer science,Signal-to-noise ratio,Quality of service,Electronic engineering,Ultra-wideband,Interference (wave propagation),Body area network,Process gain
Conference
Volume
ISSN
Citations 
2013
1557-170X
1
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Mohammed Fatehy110.34
Ryuji Kohno2747623.24