P
Prabhat Kumar Sharma
Researcher at Visvesvaraya National Institute of Technology
Publications - 99
Citations - 1048
Prabhat Kumar Sharma is an academic researcher from Visvesvaraya National Institute of Technology. The author has contributed to research in topics: Fading & Nakagami distribution. The author has an hindex of 11, co-authored 83 publications receiving 623 citations. Previous affiliations of Prabhat Kumar Sharma include ITM University, Gurgaon, Haryana & Netaji Subhas Institute of Technology.
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Journal ArticleDOI
Resource Allocation for Energy Harvesting-Powered D2D Communication Underlaying UAV-Assisted Networks
TL;DR: This paper analytically shows that the behavior of all D2D pairs at each time slot is exclusive: harvesting energy or transmitting information signals, and designs an efficient resource allocation algorithm to solve this mixed integer nonlinear programming (MINIP) problem.
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Intelligent Reflecting Surfaces to Achieve the Full-Duplex Wireless Communication
Prabhat Kumar Sharma,Parul Garg +1 more
TL;DR: The utility of IRSs in FD technology is investigated in terms of outage and error probabilities, and the channel coefficients are assumed to be distributed as the generalized Nakagami- $m$ random variables.
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An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels
TL;DR: The impact of the cognitive user mobility on the performance of the improved energy detector is investigated and the statistics for the received signal are derived over various fading environments.
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Non-Linear Energy Harvesting in RIS-Assisted URLLC Networks for Industry Automation
TL;DR: The end-to-end performance of the considered FD RIS-assisted network is analyzed, and the expressions for the block error rate (BLER) for all scheduling schemes are derived and the scheduling fairness of all the scheduling schemes is analyzed to study the performance-fairness trade-off.
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Power-Time Splitting-Based Non-Linear Energy Harvesting in FD Short-Packet Communications
TL;DR: This paper investigates the reliability, goodput and energy efficiency (EE) performance of a energy harvesting based full-duplex (FD) cooperative internet-of-things (IoT) network for short-packet communications and derives approximate closed-form expressions for the block error rate (BLER) and outage probability considering hybrid power-time splitting (PTS)-based practical non-linear EH model having the characteristics of sensitivity and threshold.