179 citations · 811 across the 77 of their papers we have counts for
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A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO
Ahmet M. Elbir, Kumar Vijay Mishra, M. R. Bhavani Shankar +1
Hybrid analog and digital beamforming transceivers are instrumental in addressing the challenge of expensive hardware and high training overheads in the next generation millimeter-…
Low-Complexity Limited-Feedback Deep Hybrid Beamforming for Broadband Massive MIMO Communications
Ahmet M. Elbir, Kumar Vijay Mishra
In broadband millimeter-wave (mm-Wave) systems, it is desirable to design hybrid beamformers with common analog beamformer for the entire band while employing different baseband be…
Toward Millimeter Wave Joint Radar-Communications: A Signal Processing Perspective
Kumar Vijay Mishra, Bhavani Shankar M. R., Visa Koivunen +2
Synergistic design of communications and radar systems with common spectral and hardware resources is heralding a new era of efficiently utilizing a limited radio-frequency spectru…
Joint Antenna Selection and Hybrid Beamformer Design using Unquantized and Quantized Deep Learning Networks
Ahmet M. Elbir, Kumar Vijay Mishra
In millimeter-wave communications, multiple-input-multiple-output (MIMO) systems use large antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems e…
Doppler-Resilient 802.11ad-Based Ultra-Short Range Automotive Joint Radar-Communications System
Gaurav Duggal, Shelly Vishwakarma, Kumar Vijay Mishra +1
We present an ultra-short range IEEE 802.11ad-based automotive joint radar-communications (JRC) framework, wherein we improve the radar's Doppler resilience by incorporating Prouhe…