On the Performance of Laser-Powered UAV-Assisted SWIPT Enabled Multiuser Communication Network With Hybrid NOMA
On the Performance of Laser-Powered UAV-Assisted SWIPT Enabled Multiuser Communication Network With Hybrid NOMA
复制标题
DOI：
10.1109/tcomm.2022.3169468
复制
发表时间：
2022-06-01
影响因子：
8.3
通讯作者：
Ding, Zhiguo
中科院分区：
文献类型：
--
作者：
Singh, Sandeep Kumar;Agrawal, Kamal;Ding, Zhiguo
无人机（UAV）具有机动可控、技术成熟、成本低廉、易于实现等优点，有望成为下一代无线网络的主要候选者之一。本文提出了一种无人机辅助的多用户通信网络，其中多天线无人机基站（BS）服务于多个单天线地面用户（GU）。UAV-BS使用基于激光源的充电机制来满足其功率需求，并在下行链路中应用同步无线信息和功率传输（SWIPT），以便向能量受限的GU提供期望的功率。此外，使用基于集群的混合多址技术，其组合正交多址（OMA）和非正交多址（NOMA）信令以同时向所有GU发送信息。由于所涉及的分析复杂度对应的多个天线和用户，我们使用一种混合波束形成方法进行有效的通信。接下来，我们分析了所提出的框架的性能，用户中断概率，各自的吞吐量，并考虑非线性能量收获收获的平均功率，并推导出这些性能指标的表达式。此外，我们制定了一个优化问题，其中一个GU的吞吐量最大化，通过最佳选择的功率分配参数，同时确保在每个集群中的其他GU所需的目标吞吐量。我们还说明了如何至关重要的是目标速率的最佳选择，以最大限度地提高网络性能。仿真结果验证了推导出的表达式的准确性，并突出了优势的混合波束形成和混合NOMA相比，传统的方法所考虑的网络的性能。
Owing to the factors such as controllable mobility, ready-to-use technology, low cost, easy implementation, and so on, unmanned aerial vehicle (UAV) possesses tremendous potential to be one of the primary candidates for next-generation (6G) wireless networks. This paper presents a UAV-assisted multiuser communication network where a multiple antenna UAV base station (BS) serves multiple single antenna ground users (GUs). UAV-BS uses a laser source-based charging mechanism to fulfill its power requirement and applies simultaneous wireless information and power transfer (SWIPT) in the downlink in order to provide desired power to energy-constrained GUs. Also, a clustering-based hybrid multiple access technique is used that combines both orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) signaling to transmit the information to all GUs, simultaneously. Due to the involved analytical complexity corresponding to the multiple antennas and users, we use a hybrid beamforming method for efficient communication. Next, we analyze the performance of the proposed framework in terms of user outage probabilities, their respective throughput, and average power harvested considering non-linear energy harvesting and derive expressions of these performance metrics. Moreover, we formulate an optimization problem where the throughput of one GU is maximized by optimally choosing the power allocation parameter while ensuring the desired target throughput at other GU in each cluster. We also illustrate how crucial is the optimal selection of the target rates to maximize the network performance. Simulation results are provided to validate the accuracy of derived expressions and to highlight the dominance of hybrid beamforming and hybrid NOMA compared to conventional methods on the performance of the considered network.