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用于维持5G高容量数据服务的自由空间光传输性能增强

Free Space Optics Transmission Performance Enhancement for Sustaining 5G High Capacity Data Services.

作者信息

Kamal Mustafa, Khan Jahanzeb, Khan Yousaf, Ali Farman, Armghan Ammar, Muhammad Fazal, Ullah Nasim, Alotaibi Sattam

机构信息

Department of Electrical Engineering, Iqra National University, Peshawar 25124, Pakistan.

Department of Electrical Engineering, University of Engineering and Technology, Pesawar 25000, Pakistan.

出版信息

Micromachines (Basel). 2022 Aug 3;13(8):1248. doi: 10.3390/mi13081248.

Abstract

Enhanced bandwidth issues for 5G system are fruitfully resolved by organizing free space optics (FSO) communication frameworks. The high bandwidth, the maximum number of channel transmission requirements, and high data rate have been boosted during the last years because of the COVID-19 pandemic. The online services and digital applications have increased pressure on installed optical network models. In addition, the optical networks with high capacity transmission produce nonlinear distortions, which degrade system efficiency. This paper presents a mixed FSO and fiber network to tackle the factors of nonlinearities and enrich the system capacity and range. Furthermore, the issues related to radio frequency, FSO pointing, and co-channel interference are considered in this work. The theoretical and simulation structures are validated using advanced measuring parameters, such as bit error rate (BER), peak to average power ratio (PAPR), cumulative distribution function (CDF), and outage probability. The nonlinear factors are addressed successfully, and the capacity is developed from current models. Finally, the proposed model's limitations and future direction are discussed in this paper.

摘要

通过构建自由空间光(FSO)通信框架,卓有成效地解决了5G系统的带宽增强问题。由于新冠疫情,在过去几年里,高带宽、最大信道传输需求数量以及高数据速率都得到了提升。在线服务和数字应用给已安装的光网络模型带来了更大压力。此外,具有高容量传输的光网络会产生非线性失真,从而降低系统效率。本文提出了一种混合FSO与光纤的网络,以应对非线性因素并增加系统容量和覆盖范围。此外,本研究还考虑了与射频、FSO指向和同信道干扰相关的问题。使用误码率(BER)、峰均功率比(PAPR)、累积分布函数(CDF)和中断概率等先进测量参数对理论和仿真结构进行了验证。成功解决了非线性因素,并在现有模型的基础上拓展了容量。最后,本文讨论了所提模型的局限性和未来发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e4/9413103/56fdfda4cce0/micromachines-13-01248-g001.jpg

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