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

Ayush Bharti, Ramoni Ojekunle Adeogun, Xuesong Cai, Wei Fan, Francois-Xavier Briol, Laurent Clavier, Troels Pedersen

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)
107 Downloads (Pure)


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 scenarios 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.

Original languageEnglish
Article number9362172
JournalIEEE Transactions on Antennas and Propagation
Issue number8
Pages (from-to)4871-4882
Number of pages12
Publication statusPublished - 24 Feb 2021


  • Mean delay
  • Millimeter-wave
  • Multivariate log-normal
  • Root mean square (rms) delay spread
  • Temporal moments
  • Wideband radio channels


Dive into the research topics of 'Joint Modeling of Received Power, Mean Delay, and Delay Spread for Wideband Radio Channels'. Together they form a unique fingerprint.

Cite this