On one hand combining Unmanned Aerial Vehicles (UAVs) and Non-Orthogonal Multiple Access (NOMA) is a remarkable direction to sustain the exponentially growing traffic requirements of the forthcoming Sixth Generation (6G) networks. In this paper, we investigate effective Power Allocation (PA) and Trajectory Planning Algorithm (TPA) for UAV-aided NOMA systems to assist multiple survivors in a post-disaster scenario, where ground stations are malfunctioned. Here, the UAV maneuvers to collect data from survivors, which are grouped in multiple clusters within the disaster area, to satisfy their traffic demands. On the other hand, while the problem is formulated as Budgeted Multi-Armed Bandits (BMABs) that optimize the UAV trajectory and minimize battery consumption, challenges may arise in real-world scenarios. Herein, the UAV is the bandit player, the disaster area clusters are the bandit arms, the sum rate of each cluster is the payoff, and the UAV energy consumption is the budget. Hence, to tackle these challenges, two Upper Confidence Bound (UCB) BMAB schemes are leveraged to handle this issue, namely BUCB1 and BUCB2. Simulation results confirm the superior performance of the proposed BMAB solution against benchmark solutions for UAV-aided NOMA communication. Notably, the BMAB-NOMA solution exhibits remarkable improvements, achieving 60% enhancement in the total number of assisted survivors, 80% improvement in convergence speed, and a considerable amount of energy saving compared to UAV-OMA.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Budgeted Bandits for Power Allocation and Trajectory Planning in UAV-NOMA Aided Networks


    Beteiligte:


    Erscheinungsdatum :

    2023




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Secrecy Performance of RIS Aided NOMA Networks

    Pei, Yingjie / Yue, Xinwei / Yi, Wenqiang et al. | IEEE | 2022


    Resource Allocation for NOMA Networks under Alternative Outage Constraints

    Cui, Fangyu / Qin, Zhijin / Cai, Yunlong et al. | IEEE | 2019


    Energy Efficient Resource Allocation for Secure NOMA Networks

    Zhang, Haijun / Yang, Ning / Long, Keping et al. | IEEE | 2018


    Joint Power and Time Allocation in NOMA-SWIPT Enabled Wireless Caching Networks

    Ren, Yuan / Qian, Kaiyue / Zhang, Xuewei et al. | IEEE | 2022


    Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels

    Yang, Fengming / Dai, Jianxin / Pan, Cunhua et al. | IEEE | 2022