94 citations · 104 across the 9 of their papers we have counts for
9 papers
Random Fourier Feature Based Deep Learning for Wireless Communications
Rangeet Mitra, Georges Kaddoum
Deep-learning (DL) has emerged as a powerful machine-learning technique for several classic problems encountered in generic wireless communications. Specifically, random Fourier Fe…
6G White Paper on Machine Learning in Wireless Communication Networks
Samad Ali, Walid Saad, Nandana Rajatheva +24
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…
Non-orthogonal Multiple Access as an Enabler for Massive Connectivity for 5G and Beyond Networks
Vimal Bhatia, Pragya Swami, Sanjeev Sharma +1
Two of the most challenging goals to be achieved in the fifth generation (5G) and beyond communication are massive connectivity and higher capacity. The use of traditional orthogon…
Non-Orthogonal Multiple Access for Visible Light Communications with Ambient Light and User Mobility
Rangeet Mitra, Paschalis. C. Sofotasios, Vimal Bhatia +1
The ever-increasing demand for high data-rate applications and the proliferation of connected devices pose several theoretical and technological challenges for the fifth generation…
Precoded Chebyshev-NLMS based pre-distorter for nonlinear LED compensation in NOMA-VLC
Rangeet Mitra, Vimal Bhatia
Visible light communication (VLC) is one of the main technologies driving the future 5G communication systems due to its ability to support high data rates with low power consumpti…
Finite Dictionary Variants of the Diffusion KLMS Algorithm
Rangeet Mitra, Vimal Bhatia
The diffusion based distributed learning approaches have been found to be a viable solution for learning over linearly separable datasets over a network. However, approaches till d…