Karem Rana, Ahmed Mehaseb, Newagy Fatma
Department of Electronics and Communications Engineering, Misr International University (MIU), Cairo 11828, Egypt.
Department of Electronics and Communications Engineering, Ain Shams University (ASU), Cairo 11517, Egypt.
Sensors (Basel). 2022 Feb 17;22(4):1566. doi: 10.3390/s22041566.
One of the main targets of future 5G cellular networks is enlarging the Internet of Things (IoT) devices' connectivity while facing the challenging requirements of the available bandwidth, power and the restricted delay limits. Unmanned aerial vehicles (UAVs) have been recently used as aerial base stations (BSs) to empower the line of sight (LoS), throughput and coverage of wireless networks. Moreover, non-orthogonal multiple access (NOMA) has become a bright multiple access technology. In this paper, NOMA is combined with UAV for establishing a high-capacity IoT uplink multi-application network, where the resource allocation problem is formulated with the objective of maximizing the system throughput while minimizing the delay of IoT applications. Moreover, power allocation was investigated to achieve fairness between users. The results show the superiority of the proposed algorithm, which achieves 31.8% delay improvement, 99.7% reliability increase and 50.8% fairness enhancement when compared to the maximum channel quality indicator (max CQI) algorithm in addition to preserving the system sum rate, spectral efficiency and complexity. Consequently, the proposed algorithm can be efficiently used in ultra-reliable low-latency communication (URLLC).
未来5G蜂窝网络的主要目标之一是在面对可用带宽、功率和严格延迟限制等具有挑战性的要求时，扩大物联网（IoT）设备的连接性。无人驾驶飞行器（UAV）最近已被用作空中基站（BS），以增强无线网络的视距（LoS）、吞吐量和覆盖范围。此外，非正交多址接入（NOMA）已成为一种有前景的多址接入技术。在本文中，NOMA与UAV相结合，用于建立一个高容量的物联网上行链路多应用网络，其中资源分配问题的制定目标是在最小化物联网应用延迟的同时最大化系统吞吐量。此外，还研究了功率分配以实现用户之间的公平性。结果表明，与最大信道质量指示符（max CQI）算法相比，所提出的算法具有优越性，除了保持系统总速率、频谱效率和复杂度外，还实现了31.8%的延迟改善、99.7%的可靠性提高和50.8%的公平性增强。因此，所提出的算法可有效地用于超可靠低延迟通信（URLLC）。
