V
Vimal Bhatia
Researcher at Indian Institute of Technology Indore
Publications - 351
Citations - 3214
Vimal Bhatia is an academic researcher from Indian Institute of Technology Indore. The author has contributed to research in topics: Computer science & Bit error rate. The author has an hindex of 21, co-authored 302 publications receiving 2053 citations. Previous affiliations of Vimal Bhatia include Netaji Subhas Institute of Technology & Indian Institute of Technology Delhi.
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6G White Paper on Machine Learning in Wireless Communication Networks
Sammad Ali,Walid Saad,Nandana Rajatheva,Kapseok Chang,Daniel Steinbach,Benjamin Sliwa,Christian Wietfeld,Kai Mei,Hamid Mohammad Shiri,Hans-Jurgen Zepernick,Thi My Chinh Chu,Ijaz Ahmad,Jykri Huusko,Jaakko Suutala,Shubhangi Bhadauria,Vimal Bhatia,Rangeet Mitra,SaiDhiraj Amuru,Robert Abbas,Baohua Shao,Michele Capobianco,Guanghui Yu,Maëlick Claes,Teemu Karvonen,Mingzhe Chen,Maksym A. Girnyk,Hassan Malik +26 more
TL;DR: An overview of the vision of how machine learning will impact the wireless communication systems and the ML methods that have the highest potential to be used in wireless networks are provided.
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Non-parametric likelihood based channel estimator for Gaussian mixture noise
Vimal Bhatia,Bernard Mulgrew +1 more
TL;DR: The simulations for impulsive noise and co-channel interference in presence of Gaussian noise, confirms that a better estimate can be obtained by using the proposed technique as compared to the traditional least-squares-based algorithms in highly non-Gaussian environments.
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Precoded Chebyshev-NLMS-Based Pre-Distorter for Nonlinear LED Compensation in NOMA-VLC
Rangeet Mitra,Vimal Bhatia +1 more
TL;DR: In this paper, the authors considered the nonlinear LED characteristics in the design of pre-distorter for cognitive radio inspired NOMA in VLC, and proposed singular value decomposition-based Chebyshev precoding to improve performance of nonlinear multiple-input multiple-output (MIMO)-NOMA-VLC.
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Chebyshev Polynomial-Based Adaptive Predistorter for Nonlinear LED Compensation in VLC
Rangeet Mitra,Vimal Bhatia +1 more
TL;DR: A Chebyshev regression-based nonlinear predistorter to correct the nonlinear characteristics of LED by learning a polynomial expansion of the input electrical signal so as to mitigate the LED nonlinearity.