Outage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation System
Küçük Resim Yok
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Drones, Rician channels, Channel models, Relays, Downlink, Uplink, Autonomous aerial vehicles, Multi-user cooperation, Drone, Network coding, Network coding noise, Rician channel, Rayleigh channel, Statistical channel model, Outage probability, Rate
Kaynak
Ieee Transactions On Vehicular Technology
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
72
Sayı
8
