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Cooperative UWB body area networking: channel measurement and diversity analysis

Cooperative UWB body area networking: channel measurement and diversity analysis

Chen, Yifan, Teo, Jianqi, Lai, Joshua, Gunawan, Erry, Low, Kaysoon, Soh, Cheongboon and Rapajic, Predrag (2008) Cooperative UWB body area networking: channel measurement and diversity analysis. In: 2008 IEEE 10th International symposium on spread spectrum techniques and applications. IEEE Conference Publications . Institute of Electrical and Electronics Engineers, Inc, Piscataway, NJ, USA, pp. 303-308. ISBN 9781424422036 (doi:10.1109/ISSSTA.2008.61)

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Abstract

We explore the application of cooperative communications in ultra-wideband (UWB) wireless body area networks (WBANs). Firstly, time-domain UWB channel measurements are presented for a sitting human subject. Important channel parameters such as the pathloss, power variation, power delay profile (PDP), and effective received power (ERP) cross-correlation are extracted and statistically analyzed. Armed with the model preliminaries, an intuitive measure is proposed to quantify the diversity gains in a single-relay, single-hop cooperative WBAN, which is defined as the number of independent paths that can be averaged over to detect symbols. Numerical results demonstrate the potential benefit of applying cooperative techniques in futuristic body-centric networks.

Item Type: Conference Proceedings
Title of Proceedings: 2008 IEEE 10th International symposium on spread spectrum techniques and applications
Additional Information: [1] This paper was first presented at the 2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications (ISSSTA2008), held from 25-28 August 2008 in Bologna, Italy. [2] First published online: 05 September 2008
Uncontrolled Keywords: antenna measurements, area measurement, biological system modeling, body sensor networks, delay effects, enterprise resource planning, humans, pulse amplifiers, time domain analysis, ultra wideband technology
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Pre-2014 Departments: School of Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9107

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