scholarly journals RL-SARSA Machine Learning Based Analog Radio over Fiber System

2019 ◽  
Author(s):  
Muhammad Usman Hadi
Keyword(s):  
Machine Learning ◽  
Bit Error Rate ◽  
Fiber Length ◽  
Single Mode ◽  
Single Mode Fiber ◽  
Radio Over Fiber ◽  
Fiber System ◽  
Decision Method ◽  
Effective Decision ◽  
Radio Over Fiber System

We propose a 10-Gb/s 64-quadrature amplitude modulation (QAM) signal-based Radio over Fiber (RoF) system for 50 km of standard single mode fiber length which utilizes Reinforcement Learning (RL) SARSA based decision method to indicate an effective decision which mitigates nonlinearity. By utilizing RL-SARSA algorithm, the results demonstrate that significant reduction can be obtained in terms of bit error rate.

Experimental evaluation of real-time sigma-delta radio over fiber system for fronthaul applications

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Usman Hadi ◽  
Hyun Jung ◽  
Pier Andrea Traverso ◽  
Giovanni Tartarini
Keyword(s):  
Single Mode ◽  
Single Mode Fiber ◽  
Radio Over Fiber ◽  
Error Vector Magnitude ◽  
Sigma Delta Modulation ◽  
Fiber System ◽  
Sigma Delta ◽  
Radio Access ◽  
Set Up ◽  
Radio Over Fiber System

Abstract Sigma-delta radio over fiber (ΣΔ-RoF) is an expedient technology for next-generation networks including 5G cloud/centralized radio access networks (C-RAN). In this article, we demonstrate a realistic experimental scenario for ΣΔ-RoF link targeting C-RAN fronthaul applications, by using baseband second-order 1-bit sigma-delta modulation (ΣΔ-M). The experimental set-up validates the LTE 20 MHz signals having modulation order of 256-quadrature amplitude modulation for a carrier frequency of 3 GHz, up to 10 km of standard single mode fiber. A detailed analysis of the ΣΔ-RoF system performance is reported by adjacent channel leakage ratio and error vector magnitude. Furthermore, an experimental study is evaluated where ΣΔ-RoF is compared with its counterparts. It is deduced that ΣΔ-RoF corroborates the present range of C-RAN fronthaul networks and can be a promising candidate for future mobile haul applications.

scholarly journals Nonlinearities Diminution in 40 Gb/s 256 QAM Radio over Fiber Link via Machine Learning Method

2019 ◽  
Author(s):  
Muhammad Usman Hadi
Keyword(s):  
Machine Learning ◽  
Single Mode ◽  
Single Mode Fiber ◽  
Radio Over Fiber ◽  
Support Vector ◽  
Potential Candidate ◽  
Input Signal Power ◽  
Quadrature Phase ◽  
Fiber Link ◽  
Mach Zehnder Modulator

Machine learning (ML) methodologies have been looked upon recently as a potential candidate for mitigating nonlinearity issues in optical communications. In this paper, we experimentally demonstrate a 40-Gb/s 256-quadrature amplitude modulation (QAM) signal-based Radio over Fiber (RoF) system for 50 km of standard single mode fiber length which utilizes support vector machine (SVM) decision method to indicate an effective nonlinearity mitigation. The influence of different impairments in the system is evaluated that includes the influences of Mach-Zehnder Modulator nonlinearities, in-phase and quadrature phase skew of the modulator. By utilizing SVM, the results demonstrated in terms of bit error rate and eye linearity suggest that impairments are significantly reduced and licit input signal power span of 5dBs is enlarged to 15 dBs.

Performance Appraisal of Sigma Delta Modulated Radio over Fiber System

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Muhammad Usman Hadi ◽  
Nelofar Aslam ◽  
Hyun Jung
Keyword(s):  
Performance Appraisal ◽  
High Speed ◽  
Access Network ◽  
Single Mode ◽  
Single Mode Fiber ◽  
Radio Over Fiber ◽  
Error Vector Magnitude ◽  
Sigma Delta Modulation ◽  
Fiber System ◽  
Sigma Delta

AbstractRadio over fiber (RoF) is a promising solution for the next-generation wireless networks including fifth-generation Cloud/Centralized Radio Access Network (C-RAN). There exists a possibility to use Sigma Delta Modulated RoF (S-DRoF) that combines the advantages of analog RoF and digital RoF by means of sigma delta modulation (SDM) at the transmitter side subsequently replacing the employment of expensive and high-speed digital-to-analog converters. In this paper, we demonstrate the usage of second-order SDM for LTE 20 MHz signal having 64 QAM modulation on a central carrier frequency of 1.14 GHz for the implementation of S-DRoF for 20 km of standard single mode fiber with baud rate from 25 to 100 Mbaud. Furthermore, a comprehensive analysis of the design of SDM is explained followed by the experimental setup. The performance is reported in terms of error vector magnitude, constellations and adjacent channel power ratio. The results show that the proposed architecture performance is in with accordance to the limitations set by the 3GPP (Third Generation Partnership Project) standards and is a reasonable choice either for upgrading installed systems as well as for the new deployments.

scholarly journals Experimental Demonstration of MASH Based Sigma Delta Radio over Fiber System for 5G C-RAN Downlink

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Muhammad Usman Hadi ◽  
Muhammad Umair Hadi ◽  
Nelofar Aslam ◽  
Rafaqat Ali ◽  
Kiran Khurshid ◽  
...  
Keyword(s):  
Access Network ◽  
Single Mode ◽  
Single Mode Fiber ◽  
Radio Over Fiber ◽  
Noise Shaping ◽  
Error Vector Magnitude ◽  
Fiber System ◽  
Sigma Delta ◽  
Digital Radio ◽  
Multi Stage

AbstractSigma Delta Radio over Fiber (S-DRoF) systems are looked upon as an enabling technology due to their advantages that comes due to combination of analog and digital radio over fiber (RoF) systems. In this paper, we have proposed and experimentally demonstrated a Multi-stAge-noise-SHaping (MASH) based Sigma Delta Modulated RoF system targeting 5G C-RAN (cloud/centralized radio access network) fronthaul applications. The evaluation has been done for LTE 20 MHz signal having 256 quadrature amplitude modulation with a carrier frequency of 3.5 GHz up to 5 Km of Standard Single Mode Fiber (SSMF). Furthermore, a comprehensive analysis of the design is explained followed by the experimental setup. The performance is reported in terms of error vector magnitude (EVM) and adjacent channel leakage ratio. It is concluded that S-DRoF substantiates the desired range of the 5G C-RAN fronthaul networks.

scholarly journals Impact of Combine Dithering and Modulators to Mitigate Noise in Radio Over Fiber System

2018 ◽  
Vol 12 (1) ◽  
pp. 428
Author(s):  
Fakhriy Hario ◽  
Eka Maulana ◽  
Hadi Suyono ◽  
Rini N Hasanah ◽  
Sholeh H Pramono
Keyword(s):  
Optical Fiber ◽  
Group Velocity Dispersion ◽  
Nonlinear Problems ◽  
Single Mode ◽  
Optical Amplifier ◽  
High Light Intensity ◽  
Single Mode Fiber ◽  
Radio Over Fiber ◽  
Fiber System ◽  
Spectrum Distribution

<p>A well-prepared Radio over Fiber (RoF) is a technology that combines two transmission technologies, radio and optical fiber transmissions. The study focused on the characteristics and problems of the optical fiber medium. One of the problems in the optical fiber is the effect of nonlinear characteristic, which caused by the high light intensity in the optical fiber core with extended interaction area in a single mode fiber (SMF). This characteristic reduces the output width and creates a pulse broadening. The nonlinear characteristics discussed in this study focused on SPM (self-phase modulation) and GVD (Group Velocity Dispersion). To overcome the nonlinear problems, this study presented a method to make the noise-resistant transmitted signal and improve the optical fiber power range. The fundamental of this study was developing similarities of previous studies regarding nonlinearity in the optical fiber. The results show that the use of two modulators combined with the amplification generated the signal with smoother spectrum, which means that the spectrum distribution was more uniform. There was 61.5 % increase of the peak power of the output signal after amplification using an optical amplifier.</p>

Sign in / Sign up

Export Citation Format

Share Document