Outage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation System

Pankaj Kumar, Sagnik Bhattacharyya, Sam Darshi, Sudhan Majhi, Akram A. Almohammedi, Samar Shailendra

Research output: Contribution to journalArticlepeer-review


This paper proposes a statistical-based channel modelling approach for a drone assisted multi-user coded cooperation (DA-MUCC) for evaluating the performance metrics of a next-generation wireless communication system. The proposed approach may find its applications in smart cities, disaster management and agriculture for building reliable communication links among ground users (GUs)/user equipments (UEs) over the scenarios where an infrastructure-based network (like a Base Station (BS)) is difficult to establish or disrupted. In such scenarios, an air-to-ground (A2G) channel is modelled based on the probabilistic approach of line-of-sight (LoS) and statistical independence of the links. The network performance of the proposed system model is evaluated by closed-form average outage probability and average rate over the Rayleigh and Rician fading channel models. The analytical performance is corroborated by Monte-Carlo simulations and also compared with the existing state-of-the-art approaches. Finally, we derive the probability density function (PDF) for signal-to-noise ratio (SNR) of relay link which is useful under the scenarios where the direct links among GUs are in the deep fade.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Issue number8
Publication statusAccepted/In press - 2023

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


Dive into the research topics of 'Outage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation System'. Together they form a unique fingerprint.

Cite this