Search Results for author: Vivek Ashok Bohara

Found 5 papers, 0 papers with code

Optical IRS Aided B5G V2V Solution for Road Safety Applications

no code implementations19 Nov 2022 Tathagat Pal, Gurinder Singh, Vivek Ashok Bohara, Anand Srivastava

In this work, we showcase the potential benefit of employing optical intelligent reflecting surfaces (O-IRS) for improving safety message dissemination for vehicular visible light communication (V-VLC) systems particularly at the road intersections.

Towards 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving Under Meteorological Impact

no code implementations12 Aug 2022 Gurinder Singh, Anand Srivastava, Vivek Ashok Bohara, Md Noor-A-Rahim, Zilong Liu, Dirk Pesch

We are witnessing a transition to a new era where driverless cars will be pervasively connected to deliver significantly improved safety, traffic efficiency, and travel experiences.

Autonomous Driving

A Tutorial on Decoding Techniques of Sparse Code Multiple Access

no code implementations16 May 2022 Saumya Chaturvedi, Zilong Liu, Vivek Ashok Bohara, Anand Srivastava, Pei Xiao

Sparse Code Multiple Access (SCMA) is a disruptive code-domain non-orthogonal multiple access (NOMA) scheme to enable \color{black}future massive machine-type communication networks.

Low-Complexity Codebook Design for SCMA based Visible Light Communication

no code implementations9 Jan 2022 Saumya Chaturvedi, Dil Nashin Anwar, Vivek Ashok Bohara, Anand Srivastava, Zilong Liu

Sparse code multiple access (SCMA), as a code-domain non-orthogonal multiple access (NOMA) scheme, has received considerable research attention for enabling massive connectivity in future wireless communication systems.

eSampling: Energy Harvesting ADCs

no code implementations16 Jul 2020 Neha Jain, Nir Shlezinger, Bhawna Tiwari, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara, Pydi Ganga Bahubalindruni

We analyze the tradeoff between the ability to recover the sampled signal and the energy harvested, and provide guidelines for setting the sampling rate in the light of accuracy and energy constraints.

Quantization

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