2000 character limit reached
QoE-Aware and Secure UAV-Aided Rate-Splitting Multiple Access Based Communications (2405.14524v1)
Published 23 May 2024 in cs.NI
Abstract: In this work, we address the issue of quality of experience (QoE) in unmanned aerial vehicle (UAV) aided multiuser rate-splitting multiple access (RSMA) networks under secrecy constraints. The problem is formulated as maximization of sum mean opinion scores (MOSs) of the users. The problem is decomposed into two subproblems, beamforming and rate allocation and UAV trajectory subproblem. For, beamforming and rate allocation subproblem, we use the epigraph method, property of polynomials, and the norm-bounded error of channels, we linearize the objective function. Then, applying second-order conic (SOC) and first Taylor expansion, we convexify the remaining nonconvex constraints. For the highly nonconvex UAV trajectory, we unroll the constraints and we apply first Taylor expansion on the unrolled constraints. The simulation results demonstrate the efficiency of the proposed framework.
- W. Jaafar, S. Naser, S. Muhaidat, P. C. Sofotasios and H. Yanikomeroglu, “On the Downlink Performance of RSMA-Based UAV Communications,” IEEE Trans. Veh. Technol., vol. 69, no. 12, pp. 16258-16263, Dec. 2020.
- A. B. M. Adam, X. Wan, M. A. M. Elhassan, M. S. A. Muthanna, A. Muthanna, N. Kumar and M. Guizani, “Intelligent and Robust UAV-Aided Multiuser RIS Communication Technique with Jittering UAV and Imperfect Hardware Constraints,” IEEE Trans. Veh. Technol., vol. 72, no. 8, pp. 10737-10753, Aug. 2023.
- M. Kang and S. -W. Jeon, “Energy-Efficient Data Aggregation and Collection for Multi-UAV-Enabled IoT Networks,” IEEE Wireless Commun. Lett., vol. 13, no. 4, pp. 1004-1008, April 2024,
- A. B. M. Adam, M. A. Ouamri, M. S. A. Muthanna, X. Li, M. A. M. Elhassan, A. Muthanna, “Real-Time and Security-Aware Precoding in RIS-Empowered Multi-User Wireless Networks’,” https://arxiv.org/abs/2401.00192
- M. A. Ouamri, G. Barb, D. Singh, A. B. M. Adam, M. S. A. Muthanna and X. Li, “Nonlinear Energy-Harvesting for D2D Networks Underlaying UAV With SWIPT Using MADQN,” IEEE Commun. Lett., vol. 27, no. 7, pp. 1804-1808, July 2023.
- A. S. Ali, A. A. Al-Habob, L. Bariah, O. A. Dobre and S. Muhaidat, “Deep Reinforcement Learning for Energy-Efficient Data Dissemination Through UAV Networks,” IEEE Open J. Commun. Soc., doi: 10.1109/OJCOMS.2024.3398718.
- A. B. M. Adam, M. S. A. Muthanna, A. Muthanna, T. N. Nguyen and A. A. A. El-Latif, “Toward Smart Traffic Management With 3D Placement Optimization in UAV-Assisted NOMA IIoT Networks,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 12, pp. 15448-15458, Dec. 2023.
- R. Chai, X. Cui, R. Sun, D. Zhao and Q. Chen, “Precoding and Trajectory Design for UAV-Assisted Integrated Communication and Sensing Systems,” IEEE Trans. Veh. Technol., doi: 10.1109/TVT.2024.3390693.
- Y. Mao, O. Dizdar, B. Clerckx, R. Schober, P. Popovski and H. V. Poor, “Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends,” IEEE Commun. Surv. Tutor., vol. 24, no. 4, pp. 2073-2126, Fourthquarter 2022.
- B. Matthiesen, Y. Mao, A. Dekorsy, P. Popovski and B. Clerckx, “Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access,” IEEE Trans. Signal Process., vol. 70, pp. 5025-5040, 2022.
- W. Jaafar, S. Naser, S. Muhaidat, P. C. Sofotasios and H. Yanikomeroglu, “Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting,” IEEE open j. veh. technol., vol. 1, pp. 372-392, 2020.
- A. B. M. Adam and M. A. M. Elhassan, “Enhancing Secrecy in UAV RSMA Networks: Deep Unfolding Meets Deep Reinforcement Learning,” in Proc. Int. Conf. Commun., Comput., Cybersecurity, Inf. (CCCI), Chongqing, China, 2023, pp. 1-5.
- A. Bera, S. Misra and C. Chatterjee, “QoE Analysis in Cache-Enabled Multi-UAV Networks,” IEEE Trans. Veh. Technol., vol. 69, no. 6, pp. 6680-6687, June 2020.
- M. Silic, M. Suznjevic and L. Skorin-Kapov, “QoE Assessment of FPV Drone Control in a Cloud Gaming Based Simulation,” in Proc. 13th Int. Conf. Qual. Mult. Experience (QoMEX), Montreal, QC, Canada, 2021, pp. 175-180.
- I. Medeiros, A. Boukerche, and E. Cerqueira, “A Swarm-based Unmanned Aerial Vehicle Approach for Video Delivery of Mobile Objects,” in Proc. IEEE Int. Conf. Commun. (ICC), 2021, pp. 1-6.
- Z. Hu, F. Zeng, Z. Xiao, B. Fu, H. Jiang, and H. Chen, “Computation Efficiency Maximization and QoE-Provisioning in UAV-Enabled MEC Communication Systems,” IEEE Trans. Netw. Sci. Eng., vol. 8, no. 2, pp. 1630-1645, 2021.
- J. Cui, Y. Liu, Z. Ding, P. Fan and A. Nallanathan, “QoE-Based Resource Allocation for Multi-Cell NOMA Networks,” IEEE Trans. Wireless Commun., vol. 17, no. 9, pp. 6160-6176, Sept. 2018.
- S. Li, B. Duo, M. D. Renzo, M. Tao and X. Yuan, “Robust Secure UAV Communications With the Aid of Reconfigurable Intelligent Surfaces,” IEEE Trans. Wireless Commun., vol. 20, no. 10, pp. 6402-6417, Oct. 2021.