| Title |
Outage Analysis Using Probabilistic Channel Model For Drone Assisted Multi-User Coded Cooperation System |
| ID_Doc |
41056 |
| Authors |
Kumar P.; Bhattacharyya S.; Darshi S.; Majhi S.; Almohammedi A.A.; Shailendra S. |
| Year |
2023 |
| Published |
IEEE Transactions on Vehicular Technology, 72, 8 |
| DOI |
http://dx.doi.org/10.1109/TVT.2023.3257229 |
| Abstract |
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. © 1967-2012 IEEE. |
| Author Keywords |
Drone; Multi-user cooperation; Network coding; Network coding noise; Outage probability; Rate; Rayleigh channel; Rician channel; Statistical channel model |
