A New Statistical Channel Model for Emerging Wireless Communication Systems

• Published in: IEEE open journal of the Communications Society Vol. 1; pp. 916 - 926
• Main Authors: Olutayo, Adebola, Cheng, Julian, Holzman, Jonathan F.
• Format: Journal Article
• Language: English
• Published: New York IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Beaulieu-Xie distribution; bit-error rate; channel model; emerging systems; Fading; fading models; Line of sight communication; Millimeter waves; mmwave; non-central chi distribution; Numerical models; outage probability; Probability density function; Rayleigh channels; Shadow mapping; terahertz; Wireless communication; Wireless communication systems; Wireless communications
• ISSN: 2644-125X; 2644-125X
• DOI: 10.1109/OJCOMS.2020.3008161

A new composite fading model is introduced. This shadowed Beaulieu-Xie model is developed to characterize wireless communication in an environment with an arbitrary number of line-of-sight and non-line-of-sight signals, in contrast to the existing Rayleigh, Ricean, generalized Ricean (i.e., κ - μ), and Nakagami-m models. The proposed model benefits from four parameters that characterize a wide range of fading conditions, unlike existing composite models such as the shadowed Ricean model, the two-wave with diffuse power model, and the fluctuating two-ray model. The proposed shadowed Beaulieu-Xie model is used here to characterize experimental data obtained from fading measurements in 28 GHz outdoor millimeter-wave channels, and it is found to describe the communication environment accurately. We conclude that the proposed composite fading model is particularly useful for characterizing emerging (millimeter-wave and terahertz) wireless communication systems.