What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- The Internet
Computer network, Mathematical optimization, Communication channel, Game theory and Wireless network are his primary areas of study.
The concepts of his Computer network study are interwoven with issues in Efficient energy use, Heterogeneous network and Radio resource management.
His studies in Mathematical optimization integrate themes in fields like Decision theory, Simulation, Optimal decision and Key.
The Communication channel study combines topics in areas such as Distributed computing, Throughput and Selection.
His Game theory research is multidisciplinary, incorporating elements of Cognitive radio, Nash equilibrium and Complete information.
His work deals with themes such as Stackelberg competition, Resource allocation and Power control, which intersect with Wireless network.
His most cited work include:
- Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication Systems (235 citations)
- Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games (214 citations)
- Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution (209 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Distributed computing, Mathematical optimization, Communication channel and Cognitive radio.
Alagan Anpalagan has researched Computer network in several fields, including Wireless network, Efficient energy use and Throughput.
His Distributed computing study integrates concerns from other disciplines, such as Scheduling, Optimization problem, Wireless sensor network and Resource allocation.
His Mathematical optimization research incorporates themes from Computational complexity theory, Convergence and Game theory.
His Communication channel research is multidisciplinary, relying on both Relay, Transmission and Electronic engineering.
His Cognitive radio study integrates concerns from other disciplines, such as False alarm and Fractional programming.
He most often published in these fields:
- Computer network (39.22%)
- Distributed computing (20.04%)
- Mathematical optimization (17.86%)
What were the highlights of his more recent work (between 2018-2021)?
- Distributed computing (20.04%)
- Computer network (39.22%)
- Resource management (8.50%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Distributed computing, Computer network, Resource management, Mobile edge computing and Wireless network.
His Distributed computing study combines topics in areas such as Scheduling, Edge computing, Resource allocation and Throughput.
His Resource allocation research is multidisciplinary, incorporating perspectives in Spectrum management and Heterogeneous network.
His Throughput study combines topics from a wide range of disciplines, such as Codebook, Efficient energy use and Spectral efficiency.
His Computer network research is multidisciplinary, incorporating elements of Enhanced Data Rates for GSM Evolution and Communication channel.
Alagan Anpalagan works mostly in the field of Wireless network, limiting it down to topics relating to Optimization problem and, in certain cases, Access network, Cellular network, Energy and Telecommunications link, as a part of the same area of interest.
Between 2018 and 2021, his most popular works were:
- Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency (69 citations)
- Self-Organizing Relay Selection in UAV Communication Networks: A Matching Game Perspective (36 citations)
- Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting (31 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- The Internet
His primary areas of investigation include Distributed computing, Resource management, Resource allocation, Wireless network and Computer network.
The concepts of his Distributed computing study are interwoven with issues in Energy consumption, Edge computing, Task analysis and Telecommunications network.
His study in Resource allocation is interdisciplinary in nature, drawing from both Scheduling, Queueing theory, Heterogeneous network and Base station.
His Wireless network study incorporates themes from Dissemination, Network performance and Radio access network.
His Computer network research integrates issues from Control reconfiguration and Renewable energy.
Alagan Anpalagan interconnects Strategy, Sequential game, Potential game and Mathematical optimization in the investigation of issues within Communication channel.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
