A Study and Analysis of Channel Modeling for the Ultra Wide Band Wireless Body Area Network

Future Communication systems will be driven by the concept that how every one can be connected from any where at any time. An essential part of this concept is Wireless Body Area Network (WBAN) approach by which services are constantly available and the best use of this WBAN is health monitoring. Indeed, if medical monitoring can be performed wirelessly, the patient is no longer constrained in his movements. But, the successful monitoring depends on the proper channel modeling. This channel modeling requires various consideration as human body has complex and different shapes with different tissues. In this paper, a literature survey and investigation is done for the proper channel modeling, which is suitable for the Ultra Wide Band (UWB) WBAN for the indoor environment. Here, large scale fading as well as small scale fading are analyzed for this consideration. This is found that the lognormal distribution is a good approximation rather than the traditional Rayleigh and Ricean models. On the other hand, the parameters of Nakagami distribution is a good approximation for the small-scale amplitude, as the parameters of Nakagami distribution change with increasing excess delay, while the Gaussian distribution is proposed for mathematical convenience.