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Joint Modeling of Received Power, Mean Delay, and Delay Spread for Wideband Radio Channels

Bharti, A; Adeogun, R; Cai, X; Fan, W; Briol, FX; Clavier, L; Pedersen, T; (2021) Joint Modeling of Received Power, Mean Delay, and Delay Spread for Wideband Radio Channels. IEEE Transactions on Antennas and Propagation 10.1109/TAP.2021.3060099. (In press). Green open access

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Abstract

We propose a multivariate log-normal distribution to jointly model received power, mean delay, and root mean square (rms) delay spread of wideband radio channels, referred to as the standardized temporal moments. The model is validated using experimental data collected from five different measurement campaigns (four indoor and one outdoor scenario). We observe that the received power, the mean delay, and the rms delay spread are correlated random variables, and therefore, should be simulated jointly. Joint models are able to capture the structure of the underlying process, unlike the independent models considered in the literature. The proposed model of the multivariate log-normal distribution is found to be a good fit for a large number of wideband data-sets.

Type: Article
Title: Joint Modeling of Received Power, Mean Delay, and Delay Spread for Wideband Radio Channels
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TAP.2021.3060099
Publisher version: https://doi.org/10.1109/TAP.2021.3060099
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Keywords: Temporal moments, mean delay, rms delay spread, multivariate log-normal, millimeter-wave, wideband radio channels
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10125412
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