Analysis and performance improvement of 60 GHz mm-wave based hybrid RoF and RoFSO system under atmospheric turbulence using FFE + DFE electronic equalizer

IF 3.3 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Sarita Sarita, Neeraj Sharma, Sunil Agrawal, Sumit Budhiraja
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引用次数: 0

Abstract

The mm-wave-based hybrid radio over fiber (RoF) and radio over free space optic (RoFSO) systems are emerging as a solution for high bandwidth demand by end users. Applications such as the expansion of 5G cellular networks, high definition (4 K/8 K) video streaming, Internet of things (IoTs), autonomous vehicles, unmanned aerial vehicles (UAVs), and, upcoming 6G wireless networks have pushed the limits of RF technology. Solutions based on only RF technologies are creating and will bound to create bottlenecks in access networks. In such a scenario hybrid RoF + RoFSO-based communication systems are appearing as a solution to achieve the desired goals in providing high-quality multimedia services in upcoming years. RoF (for reach extension) + RoFSO (for access networks) based hybrid backhaul and front haul not only provide low-cost installation, license-free FSO wavelengths, and lesser cost per bit but also provide an opportunity to install demand-based access networks in just-in-time scenarios such as disaster management, crowded festivals or sports events and also in difficult terrain. Besides all such benefits, adverse atmospheric conditions such as atmospheric turbulence, rain, fog, snow, and beam divergence deteriorate the link's reliability, causing huge costs to service providers. In this paper, we have analyzed with the help of numerical simulations, the effects of varied atmospheric turbulence and accompanying weather conditions (beam divergence and FSO channel attenuation), on the performance of the RoF + RoFSO system. Many techniques are part of existing or recent literature to counter the effects of atmospheric turbulence such as aperture averaging, diversity techniques, adaptive beam forming, adaptive optics, power equalization, and different coding techniques. The effects introduced by varied atmospheric turbulence such as dispersion, fading, amplitude, and phase fluctuations are non-deterministic effects, and an equalizer-based mitigation or compensation technique may serve a better purpose than other methods. This paper discusses the increase in launch power as one of the methods for countering distortions due to the FSO channel and also the limits of this method. This paper also discusses its main focus area, the equalization of signal impairments caused by high and very high atmospheric turbulence using an electronic equalizer based on the combination of feed-forward equalization (FFE) and decision feedback equalization (DFE), where least mean square (LMS) algorithm is used for updating the weights of filter taps. The paper discusses certain new incorporations such as the need for finding the optimum operating point of the LMS algorithm in terms of step size and also the optimum number of forward taps of FFE, for maximizing the performance improvement of the considered system. The paper also highlights the contribution of ODSB-PCS in improving the performance of the considered system under very high atmospheric turbulence.

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来源期刊
Optical and Quantum Electronics
Optical and Quantum Electronics 工程技术-工程:电子与电气
CiteScore
4.60
自引率
20.00%
发文量
810
审稿时长
3.8 months
期刊介绍: Optical and Quantum Electronics provides an international forum for the publication of original research papers, tutorial reviews and letters in such fields as optical physics, optical engineering and optoelectronics. Special issues are published on topics of current interest. Optical and Quantum Electronics is published monthly. It is concerned with the technology and physics of optical systems, components and devices, i.e., with topics such as: optical fibres; semiconductor lasers and LEDs; light detection and imaging devices; nanophotonics; photonic integration and optoelectronic integrated circuits; silicon photonics; displays; optical communications from devices to systems; materials for photonics (e.g. semiconductors, glasses, graphene); the physics and simulation of optical devices and systems; nanotechnologies in photonics (including engineered nano-structures such as photonic crystals, sub-wavelength photonic structures, metamaterials, and plasmonics); advanced quantum and optoelectronic applications (e.g. quantum computing, memory and communications, quantum sensing and quantum dots); photonic sensors and bio-sensors; Terahertz phenomena; non-linear optics and ultrafast phenomena; green photonics.
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