What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Telecommunications
Harpreet S. Dhillon mainly focuses on Cellular network, Telecommunications link, Base station, Computer network and Topology.
The concepts of his Cellular network study are interwoven with issues in Poisson distribution, Heterogeneous network and Transmitter power output.
Harpreet S. Dhillon has researched Telecommunications link in several fields, including Wireless, MIMO and Signal-to-interference-plus-noise ratio.
His biological study spans a wide range of topics, including Simulation and Radio resource management.
His Computer network research integrates issues from Transmission, Throughput, Interference and Fading.
His Topology research includes elements of Node, Stochastic geometry and Spectral efficiency.
His most cited work include:
- Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks (1429 citations)
- Heterogeneous cellular networks: From theory to practice (776 citations)
- Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights (681 citations)
What are the main themes of his work throughout his whole career to date?
Harpreet S. Dhillon spends much of his time researching Cellular network, Base station, Computer network, Telecommunications link and Topology.
Harpreet S. Dhillon has included themes like Poisson distribution, Poisson point process, Transmitter power output, Stochastic geometry and Heterogeneous network in his Cellular network study.
His work carried out in the field of Transmitter power output brings together such families of science as Femtocell and Rayleigh fading.
His research in Base station intersects with topics in Wireless, Point process, Interference, Algorithm and Upper and lower bounds.
Harpreet S. Dhillon combines subjects such as Wireless network, Transmission, Throughput and Communication channel with his study of Computer network.
In his study, Beamforming is inextricably linked to MIMO, which falls within the broad field of Telecommunications link.
He most often published in these fields:
- Cellular network (41.81%)
- Base station (35.89%)
- Computer network (27.53%)
What were the highlights of his more recent work (between 2019-2021)?
- Poisson distribution (18.82%)
- Base station (35.89%)
- Wireless (14.29%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Poisson distribution, Base station, Wireless, Cellular network and Algorithm.
His study in Poisson distribution is interdisciplinary in nature, drawing from both Function and Topology.
In his study, which falls under the umbrella issue of Topology, Open problem and Heterogeneous network is strongly linked to Telecommunications link.
His User equipment study, which is part of a larger body of work in Base station, is frequently linked to Process, bridging the gap between disciplines.
His Wireless study integrates concerns from other disciplines, such as Extremely high frequency, Real-time computing, Communication channel and Communications system.
His Cellular network study introduces a deeper knowledge of Computer network.
Between 2019 and 2021, his most popular works were:
- Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges (65 citations)
- A Reinforcement Learning Framework for Optimizing Age of Information in RF-Powered Communication Systems (33 citations)
- Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication (18 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Telecommunications
His main research concerns Base station, Wireless, Poisson distribution, Cellular network and Stochastic process.
His Base station research is within the category of Computer network.
Computer network connects with themes related to Throughput in his study.
His Wireless study combines topics from a wide range of disciplines, such as Access network and Real-time computing.
His studies deal with areas such as Point, Stochastic geometry and Random variable as well as Poisson distribution.
His studies in Stochastic geometry integrate themes in fields like Telecommunications link and Topology.
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