Abstract
In mobile communication systems, the transmitted RF signal is subject to mutually independent deterministic path loss and stochastic multipath and shadow fading. As at each spatial location mostly the composite signal samples are measured, their components are distinguished by averaging out the multipath-caused signal level variations, while preserving just the ones due to shadowing. The prerequisite for this is the appropriateness of the local area averaging path length that enables obtaining the local mean (composed of mean path loss and shadow fading) and the multipath fading as difference between the composite signal sample and the local mean. However, the so far reported analytical approaches to estimation of the averaging path length are based on considering either the multipath or just the shadow fading, with applicability limited to only specific topologies and frequencies. Therefore, in this paper, the most widely used Lee analytical method is generalized and improved by considering multipath and shadowing concurrently, so providing the general closed-form elementary-function based estimation of the optimal averaging path length as a function of common multipath and shadow fading parameters characterizing particular propagation environment. The model enables recommendations for the optimal averaging length for all propagation conditions facing the mobile receiver.
Highlights
In a mobile communication system, the received RF signal, attenuated by deterministic path loss, varies in time and space stochastically [1]
Multipath fading occurs on a small-scale change of distance between transmitter and receiver, when constructive and destructive interference of multiple propagation paths cause fast signal variations even within local areas, so that the composite spatially variable received signal is affected by both fading types
If the collected samples are to be used for particular channel modelling, it is necessary to distinguish slow and fast signal variations and process them separately in order to estimate their statistical distribution and relevant metrics, extensively used in wireless digital communication systems
Summary
In a mobile communication system, the received RF signal, attenuated by deterministic path loss, varies in time and space stochastically [1]. It is necessary to correctly average the composite signal within each local area, i.e., to choose the optimal local averaging path length value, along which the Wireless Communications and Mobile Computing multipath-caused received signal level variations would be sufficiently integrated out, while preserving intact the ones caused exclusively by shadowing This enables obtaining the shadow fading samples (proportional to the local mean) and so the multipath fading as a difference between the composite signal sample and the appropriate local mean at each spatial location. Since the proposed model is based on the Lee procedure, the latter is first introduced in detail, and the overview of other reported analytical models for estimating the averaging length is given
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