Fading depth dependence on system bandwidth in mobile communications-an analytical approximation

Abstract

Abstract-A simple and computationally inexpensive analytical approach to the evaluation of the short-term fading depth dependence on system bandwidth and environment characteristics is proposed. The approach, accounting for the maximum difference in propagation path length and having the Rice factor as a parameter, is derived from fitting simulated data from a model in the literature. Application examples are presented for global system for mobile communications (GSM), universal mobile telecommunications systems (UMTS), high-performance radio local area network (HIPERLAN), and mobile broadband systems (MBS), which give some insight into the fading depth observed under different conditions regarding system bandwidth and environment characteristics. Macro, micro, and picocell environments are considered. In the microcellular environment, the fading depth experienced by UMTS is below the one for GSM by 0.1 to 5.5 dB, while in the picocellular one, the difference between GSM and UMTS is not significant, being almost independent of environment characteristics. When considering HIPERLAN or systems with larger bandwidths, the fading depth, both in micro and picocellular environments, is smaller than the one verified by UMTS; however, there is an increased dependence on environment characteristics. In the macrocellular environment, the fading depth experienced by UMTS is about 6 to 11 dB below the one for GSM. Hence, different short-term fading margins should be considered for each system and working environment.Index Terms-Equivalent received bandwidth, mobile communication systems, Ricean fading, short-term fading, wide-band systems.

Link Quality Prediction in Mobile Ad-Hoc Networks

“…As mentioned earlier Yan & Kozono (1999) also propose a propagation parameter termed the 'equivalent received bandwidth' which can be used to estimate the fading depth (Cardoso & Correia 2003). The equivalent received bandwidth is the product of the receiver bandwidth 2f  and the maximum difference in path lengths max L  of the arriving waves…”

A Time-Domain Based Approach for Short-Term Fading Depth Evaluation in Wideband Mobile Communication Systems

“…The fading depth, again measured between 1 and 50% of the CDF of the received power, FD 1-50% (K, w l ), is evaluated from [15] …”

Analytical Approach to Model the Fade Depth and the Fade Margin in UWB Channels

“…In view of the fact that multipath propagation can produce received signal fade, it is necessary to provide additional power in the link budget to enhance the system quality. This additional power is known as fade margin [5]. Other parameter to understand the small-scale fading concept is the fade depth that is referred to the received signal power variations about its local mean [6].…”

“…In [5], the fade depth and fade margin are evaluated for a Rician channel as a function of the equivalent received bandwidth, showing that the fade margin variation is related to the channel bandwidth and that it falls monotonically when the channel bandwidth increases. In [6], the dependence of the received signal level distribution on the channel bandwidth is studied by computer simulations, showing that the fade depth has a strong dependence on the equivalent channel bandwidth.…”

“…where m k,l is the fading parameter of the kth path inside the lth cluster; Γ(⋅) is the Gamma function; and W k,l is the mean power of the kth path within the lth cluster given by (5). The m k,l parameter is modeled as a lognormal distributed RV, whose logarithm has a mean m m and standard deviation s m , given by [9] ( ) ( ) …”