Taneja Ashu, Rani Shalli, Raza Saleem, Jain Amar, Sefat Shebnam M
Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Quaid-e-Awam University of Engineering, Science and Technology, Larkana, Pakistan.
Sci Rep. 2023 Aug 7;13(1):12814. doi: 10.1038/s41598-023-39974-x.
The real world applications are more prone to difficulties of challenges due to fast growth of technologies and inclusion of artificial intelligence (AI) based logical solutions. The massive internet-of-things (IoT) devices are involved in number of Industry 5.0 applications like smart healthcare, smart manufacturing, smart agriculture, smart transportation. Advanced wireless techniques, customization of services and different technologies are experiencing a major transformation. The desire to increase the communication reliability without adding energy overhead is the major challenge for massive IoT enabled networks. To cope up with the above challenges, Industry 5.0 requirements needs to be monitored at the remote level which again adds on the communication challenge. Use of relays in 6G based wireless networks is denied due to high requirement of energy. Therefore in this paper, Intelligent reflecting surfaces (IRSs) assisted energy constrained 6G wireless networks are studied. To provide seamless connection between the communicating mobile nodes, IRS with an array of reflecting elements are configured in the system set up. A use-case scenario of IRS enabled network in Internet-of-Underwater things (IoUT) for smart ocean transportation is also provided. The IRS assisted wireless network is evaluated for target rates achieved. A power consumption model of the IRS supported system is also proposed to optimise the energy efficiency of the system. Further, the paper evaluates the impact of number of reflecting elements N on the IRS and the phase resolution b of each element on the system performance. The energy efficiency improves by 20% for IRS with [Formula: see text] with [Formula: see text] over IRS with [Formula: see text].
由于技术的快速发展以及基于人工智能（AI）的逻辑解决方案的融入，实际应用更容易面临挑战带来的困难。大量的物联网（IoT）设备参与到众多工业5.0应用中，如智能医疗、智能制造、智能农业、智能交通。先进的无线技术、服务定制和不同技术正在经历重大变革。在不增加能量开销的情况下提高通信可靠性的需求是大规模物联网支持网络面临的主要挑战。为了应对上述挑战，需要在远程层面监测工业5.0的要求，这又增加了通信挑战。由于对能量的高要求，基于6G的无线网络中拒绝使用中继。因此，本文研究了智能反射面（IRSs）辅助的能量受限6G无线网络。为了在通信移动节点之间提供无缝连接，在系统设置中配置了具有反射元件阵列的IRS。还提供了一个在水下物联网（IoUT）中用于智能海洋运输的启用IRS网络的用例场景。对IRS辅助的无线网络实现的目标速率进行了评估。还提出了IRS支持系统的功耗模型以优化系统的能量效率。此外，本文评估了反射元件数量N对IRS的影响以及每个元件的相位分辨率b对系统性能的影响。对于具有[公式：见原文]且[公式：见原文]的IRS，其能量效率比具有[公式：见原文]的IRS提高了20%。
