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

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 manageme...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2023-08, Vol.72 (8), p.10273-10285
Main Authors: Kumar, Pankaj, Bhattacharyya, Sagnik, Darshi, Sam, Majhi, Sudhan, Almohammedi, Akram A., Shailendra, Samar
Format: Article
Language:English
Subjects:
Autonomous aerial vehicles
Channel models
Cooperation
Disaster management
Downlink
Drone
Drones
Line of sight
Links
Monte Carlo simulation
Multi-user cooperation
Network coding
Network coding noise
Outage probability
Outages
Performance evaluation
Performance measurement
Probability density functions
Radio equipment
Rate
Rayleigh channel
Relays
Rician channel
Rician channels
Signal to noise ratio
Statistical analysis
Statistical channel model
Uplink
Wireless communication systems
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Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3257229