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Physical Layer Security Optimisation for NOMA Based UAV Communication for Optimal Resource Allocation

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Computing Science, Communication and Security (COMS2 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1861))

Abstract

Unmanned aerial vehicles (UAVs) have become increasingly popular for wireless communication due to their mobility, versatility in deployment, and economic advantages, particularly in catastrophic weather event scenarios and vital military operations. The utilization of Non-Orthogonal Multiple Access(NOMA) has been efficiently done to enhance channel utilization. Multiple users transmit information using similar frequency bands. This technique is helpful in enhancing the performance of UAV communication. It helps in enhancing achievable rate and robustness. Non Orthogonal as compared to the orthogonal multiple access technique provides improved spectral efficiency, reduced latency, expanded coverage, enhanced connectivity, and improved fairness. However, non-orthogonal techniques are less secure. An interceptor can intercept a transmission and can access information of multiple users that are accessing the same resources. To circumvent such issues much emphasis has been given to the physical layer. The popular matrices that are used for such a system are the probability of a link going down and the likelihood of a communication interception. This study examines the practicality of pairing trustworthy and untrustworthy users, as well as the impact of optimal power allocation coefficients using tabulation and belief MDP methods. The findings of the simulation research suggest that belief MDP is a feasible approach for enabling user pairings that are attainable while adhering to the Secrecy Outage Probability (SecOP) constraint of trusted users, thereby optimizing resource allocation efficiency.

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Correspondence to Monali Prajapati or Pramod Tripathi .

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Prajapati, M., Tripathi, P. (2023). Physical Layer Security Optimisation for NOMA Based UAV Communication for Optimal Resource Allocation. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z., Parikh, S., Amin, K. (eds) Computing Science, Communication and Security. COMS2 2023. Communications in Computer and Information Science, vol 1861. Springer, Cham. https://doi.org/10.1007/978-3-031-40564-8_10

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  • DOI: https://doi.org/10.1007/978-3-031-40564-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40563-1

  • Online ISBN: 978-3-031-40564-8

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