Machine learning methods for optical communications

Hadi MU, Nanni J, Polleux JL, Traverso PA, Tartarini G (2019) Direct digital predistortion technique for the compensation of laser chirp and fiber dispersion in long haul radio over fiber links. Opt Quant Electron 51: 205. Link: https://bit.ly/33xdbiN

Hadi MU, Jung H, Ghaffar S, Traverso PA, Tartarini G (2019) Optimized digital radio over fiber system for medium range communication. Optics Communications 443: 177-185. Link: https://bit.ly/35HW7sU

Hadi M, Jung H, Traverso P, Tartarini G (2019) Digital Radio Frequency Transport over Optical Fiber for 5G Fronthaul Links. Journal of Optical Communications. Link: https://bit.ly/3krWQmp

Hadi M, Hadi M, Aslam N, Ali R, Khurshid K (2019) Experimental Demonstration of MASH Based Sigma Delta Radio over Fiber System for 5G C-RAN Downlink. Journal of Optical Communications. Link: https://bit.ly/32AQ0VC

Hadi MU, Jung H, Traverso PA, Tartarini G (2020) Experimental evaluation of real-time sigma-delta radio over fiber system for fronthaul applications. International Journal of Microwave and Wireless Technologies 1–10. Link: https://bit.ly/3kmMfJh

Hadi MU, Traverso PA, Tartarini G, Jung H (2019) Experimental characterization of Sigma Delta Radio over fiber system for 5G C-RAN downlink. ICT Express 6: 23-27. Link: https://bit.ly/2FD7FTs

Hadi MU (2015) Extending the benefits of LTE to unlicensed spectrum. 2015 International Conference on Information and Communication Technologies (ICICT), Karachi 1-3. Link: https://bit.ly/32Ba7TG

Hadi MU, Nanni J, Traverso PA, Tartarini G, Venrad O, et al. (2018) Experimental evaluation of digital predistortion for VCSEL-SSMF-based Radio-over-Fiber link. 2018 International Topical Meeting on Microwave Photonics (MWP), Toulouse 1-4. Link: https://bit.ly/3mthvby

Hadi MU, Traverso PA, Tartarini G, Venard O, Baudoin G, et al. (2018) Digital Predistortion for Linearity Improvement of VCSEL-SSMF-Based Radio-Over-Fiber Links. In IEEE Microwave and Wireless Components Letters. Link: https://bit.ly/3moRbPD

Hadi MU, Nanni J, Traverso PA, Tartarini G, Venard O, et al. (2019) Linearity improvement of VCSELs based radio over fiber systems utilizing digital predistortion. Adv Sci Technol Eng Syst J 4: 156-163. Link: https://bit.ly/2RyMBAm

Hadi MU (2019) RL-SARSA Machine Learning Based Analog Radio over Fiber System. Preprints. Link: https://bit.ly/3hCNjHl

Aslam N, Xia K, Hadi MU (2019) Optimal Wireless Charging Inclusive of Intellectual Routing Based on SARSA Learning in Renewable Wireless Sensor Networks. IEEE Sensors Journal 19: 8340-8351. Link: https://bit.ly/3iBAlut

Hadi MU (2019) Nonlinearities Diminution in 40 Gb/s 256 QAM Radio over Fiber Link via Machine Learning Method. Preprints. Link: https://bit.ly/2Rwod27

Li M, Yu S, Yang J, Chen Z, Han Y, et al. (2013) Nonparameter nonlinear phase noise mitigation by using M-ary support vector machine for coherent optical systems. IEEE Photonics Journal 5.

Wang Z, Zhang M, Wang D, Song C, Liu M, et al. (2017) Failure prediction using machine learning and time series in optical network. Opt Exp 25. Link: https://bit.ly/2ZHhkQ5

Jiang N, Gong Y, Karout J, Wymeersch H, Johannisson P, et al. (2011) Stochastic backpropagation for coherent optical communications. Proc ECOC Geneva 81. Link: https://bit.ly/2RwSnSR

Skoog RA, Banwell TC, Gannett JW, Habiby SF, Pang M, et al. (2006) Automatic identification of impairments using support vector machine pattern classification on eye diagrams. IEEE Photon Technol Lett 18: 2398-2400. Link: https://bit.ly/32Adni1

Khan FN, Yu Y, Tan MC, Yu C, Lau APT, et al. (2015) Simultaneous OSNR monitoring and modulation format identification using asynchronous single channel sampling. Proc Asia Communications and Photonics Conf Hong Kong. Link: https://bit.ly/33u7H8q

Anderson TB, Kowalczyk A, Clarke K, Dods SD, Hewitt D, et al. (2009) Multi impairment monitoring for optical networks. J Lightwave Technol 27: 3729-3736. Link: https://bit.ly/33xFU7c

Amari A, Lin X, Dobre OA, Venkatesan R, Alvarado A (2019) A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation. IEEE Photonics Technology Letters 31: 627-630. Link: https://bit.ly/33yBAEv

Rafique D, Szyrkowiec T, Grieber H, Autenrieth A, Elbers JP (2018) Cognitive assurance architecture for optical network fault management. J Lightwave Technol 36: 1443–1450. Link: https://bit.ly/2ZEQiZp

Hadi M, Jung H, Traverso P, Tartarini G (2020) Experimental evaluation of real-time sigma-delta radio over fiber system for fronthaul applications. International Journal of Microwave and Wireless Technologies 1-10. Link: https://bit.ly/3kA5S0P

Hadi M, Aslam N, Jung H (2019) Performance appraisal of sigma delta modulated radio over fiber system. Journal of Optical Communications. Link: https://bit.ly/35G6jSQ

Khan FN, Fan Q, Lu C, Lau APT (2020) Machine learning methods for optical communication systems and networks. Optical Fiber Telecommunications7: 921–978. Link: https://bit.ly/3iELLhd

Karanov B, Chagnon M, Thouin F, Eriksson TA, Bulow H, et al. (2018) End-to-end deep learning of optical fiber communications, J. Lightwave Technol 36: 48434855. Link: https://bit.ly/33Cf7qj

Jones RT, Gaiarin S, Yankov MP, Zibar D (2018) Time-domain neural network receiver for nonlinear frequency division multiplexed systems. IEEE Photonics Technol Lett 30: 10791082. Link: https://bit.ly/32Apdsz