A Unification of LoS, Non-LoS and Quasi-LoS Signal Propagation in Wireless Channels
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Journals & Magazines
Materia
Body-centric communications Characterization Multimodal Non-isotropic Shadowed fading Statistics Time-series analysis
Date
2023Referencia bibliográfica
Published by: J W. Browning, S. L. Cotton, P. C. Sofotasios, D. Morales-Jimenez and M. D. Yacoub, "A Unification of LoS, Non-LoS, and Quasi-LoS Signal Propagation in Wireless Channels," in IEEE Transactions on Antennas and Propagation, vol. 71, no. 3, pp. 2682-2696, March 2023, [doi: 10.1109/TAP.2022.3231686]
Sponsorship
The State Research Agency (AEI) of Spain; The European Social Fund under grant RYC2020-030536-I; AEI under grant PID2020-118139RB-I00.Abstract
The modeling of wireless communications channels
is often broken down into two distinct states, defined
according to the optical viewpoints of the transmitter (TX) and
receiver (RX) antennas, namely line-of-sight (LoS) and non-LoS
(NLoS). Movement by the TX, RX, both and/or objects in the
surrounding environment means that channel conditions may
transition between LoS and NLoS leading to a third state of
signal propagation, namely quasi-LoS (QLoS). Unfortunately, this
state is largely ignored in the analysis of signal propagation
in wireless channels. We therefore propose a new statistical
framework that unifies signal propagation for LoS, NLoS, and
QLoS channel conditions, leading to the creation of the Three
State Model (TSM). The TSM has a strong physical motivation,
whereby the signal propagation mechanisms underlying each
state are considered to be similar to those responsible for Rician
fading. However, in the TSM, the dominant signal component, if
present, can be subject to shadowing. To support the use of the
TSM, we develop novel formulations for the probability density
functions of the in-phase and quadrature components of the
complex received signal, the received signal envelope, and the
received signal phase. Additionally, we derive an expression for
the complex autocorrelation function of the TSM, which will be of
particular importance in understanding and simulating its time
correlation properties. Finally, we show that the TSM provides a
good fit to field measurements obtained for two different bodycentric
wireless channels operating at 2.45 GHz, which are known
to be subject to the phenomena underlying the TSM.