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.
Papers
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Joint Power-Domain and SCMA-Based NOMA System for Downlink in 5G and Beyond
TL;DR: A joint power and code-domain non-orthogonal multiple access technique for the fifth-generation (5G) wireless networks and beyond and a downlink system, where the users’ experience diverse channel conditions, is considered.
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Online Content Popularity Prediction and Learning in Wireless Edge Caching
TL;DR: Two online prediction methods for forecasting CP viz., popularity prediction model (PPM) and Grassmannian Prediction model (GPM), where the unconstrained coefficients for linear prediction are obtained by solving constrained non-negative least squares are proposed.
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Low-Complexity Near-Optimal Iterative Sequential Detection for Uplink Massive MIMO Systems
Manish Mandloi,Vimal Bhatia +1 more
TL;DR: Simulation results validate superiority of the proposed algorithm over the recently reported methods and achieves better performance when the number of users increases.
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A Survey on Higher-Order QAM Constellations: Technical Challenges, Recent Advances, and Future Trends
TL;DR: In this article, power and bandwidth efficient modulation schemes for the next generation communication systems in details are surveyed and detailed study of star QAM, XQAM, and HQAM is presented.
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Anti-spoof touchless 3D fingerprint recognition system using single shot fringe projection and biospeckle analysis
TL;DR: This work demonstrates an anti-spoof touchless 3D fingerprint detection system using a combination of single shot fringe projection and biospeckle analysis and proposes a visuo-numeric algorithm based on modified structural function and non-normalized histogram for spoof detection.