A packet-level model for UWB channel with people shadowing process based on angular spectrum analysis

Authors:
Ruonan Zhang;Lin Cai
Affiliations:
Department of Electrical and Computer Engineering, University of Victoria, Victoria, British Columbia, Canada;Department of Electrical and Computer Engineering, University of Victoria, Victoria, British Columbia, Canada
Venue:
IEEE Transactions on Wireless Communications
Year:
2009

Citing 3
Cited 4

A trace-based approach for modeling wireless channel behavior

WSC '96 Proceedings of the 28th conference on Winter simulation
A Markov model for indoor ultra-wideband channel with people shadowing

Mobile Networks and Applications
Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel

IEEE Journal on Selected Areas in Communications

A study on spatial-temporal dynamics properties of indoor wireless channels

WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Adaptive scalable video streaming in wireless networks

Proceedings of the 3rd Multimedia Systems Conference
Full length article: Modeling, validation and performance evaluation of body shadowing effect in ultra-wideband networks

Physical Communication
Providing reliable and real-time delivery in the presence of body shadowing in breadcrumb systems

ACM Transactions on Embedded Computing Systems (TECS)

Quantified Score

Hi-index	0.01

Visualization

Abstract

Ultra-wideband (UWB) wireless communication technologies have been proposed to support high data rate multimedia services in office or residential environments. Due to the low transmission power of UWB, the shadowing effect by moving people can considerably reduce the received signal quality and thus significantly degrade the quality of service (QoS) of on-going transmissions. An open issue is to build a simple model which captures the temporal variation of UWB channels and the packet error rate (PER) due to the people shadowing effect (PSE), which will be a useful tool for upper layer protocol performance analysis and simulation. This paper presents an analytical study of the PSE and the temporal variation of UWB channels induced by the motion of a person. First, we derive the angular power spectral density (APSD) of the indoor UWB channel impulse response (CIR), and the PSE in terms of signal power attenuation. Second, based on a two-dimensional random walk mobility model, the PER variation due to people shadowing is modeled as a finite-state Markov chain (FSMC). The investigation of APSD provides important insights on the spatial propagation characteristics of UWB signals. The proposed packet-level channel model can be conveniently incorporated into analytical frameworks and simulation tools for evaluating upper-layer protocols of UWB networks.