2017 - IEEE Fellow For contributions to cooperative communications and cognitive radio networks
Arumugam Nallanathan mainly investigates Wireless, Communication channel, Computer network, Relay and Cognitive radio. He has included themes like Jamming, Iterative method and Transmitter power output in his Wireless study. Arumugam Nallanathan works mostly in the field of Communication channel, limiting it down to topics relating to Transmitter and, in certain cases, Radio propagation and Channel allocation schemes, as a part of the same area of interest.
In general Computer network, his work in Wireless sensor network is often linked to Throughput linking many areas of study. His Relay study incorporates themes from Signal-to-noise ratio, Estimation theory, Decoding methods and Topology. He combines subjects such as Frequency band, Power control, Frame, Radio spectrum and Electronic engineering with his study of Cognitive radio.
His main research concerns Communication channel, Computer network, Electronic engineering, Algorithm and Wireless. The various areas that he examines in his Communication channel study include Relay and Control theory. His Relay research is multidisciplinary, relying on both Signal-to-noise ratio and Topology.
Arumugam Nallanathan interconnects Cognitive radio, Transmission and Throughput in the investigation of issues within Computer network. His study on Algorithm also encompasses disciplines like
His scientific interests lie mostly in Communication channel, Transmission, Wireless, Distributed computing and Optimization problem. His Communication channel research is multidisciplinary, incorporating elements of Upper and lower bounds, Electronic engineering, Beamforming and Transmitter power output. Arumugam Nallanathan has researched Transmission in several fields, including Computer network, Data transmission, Random-access channel, Energy harvesting and Stochastic geometry.
As part of his studies on Computer network, Arumugam Nallanathan often connects relevant subjects like Power control. His studies in Wireless integrate themes in fields like MIMO and Base station. His study in MIMO is interdisciplinary in nature, drawing from both Algorithm and Spectral efficiency.
His primary areas of investigation include Wireless, Optimization problem, Communication channel, Base station and Telecommunications link. His work deals with themes such as Energy consumption, MIMO, Distributed computing and Resource allocation, which intersect with Wireless. His research integrates issues of Upper and lower bounds, Topology, Spectral efficiency and Coordinate descent in his study of MIMO.
In his study, Communications system and Algorithm is inextricably linked to Precoding, which falls within the broad field of Optimization problem. His Communication channel study integrates concerns from other disciplines, such as Network performance, Electronic engineering, Computer engineering and Transmitter power output. His studies deal with areas such as Extremely high frequency and Power as well as Telecommunications link.
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Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity
Xin Kang;Ying-Chang Liang;A. Nallanathan;H.K. Garg.
IEEE Transactions on Wireless Communications (2009)
Wideband spectrum sensing for cognitive radio networks: a survey
Hongjian Sun;A. Nallanathan;Cheng-Xiang Wang;Yunfei Chen.
IEEE Wireless Communications (2013)
On channel estimation and optimal training design for amplify and forward relay networks
Feifei Gao;Tao Cui;A. Nallanathan.
IEEE Transactions on Wireless Communications (2008)
Nonorthogonal Multiple Access for 5G and Beyond
Yuanwei Liu;Zhijin Qin;Maged Elkashlan;Zhiguo Ding.
Proceedings of the IEEE (2017)
Distributed Space–Time Coding for Two-Way Wireless Relay Networks
Tao Cui;Feifei Gao;T. Ho;A. Nallanathan.
IEEE Transactions on Signal Processing (2009)
Optimal Sensing Time and Power Allocation in Multiband Cognitive Radio Networks
S Stotas;A Nallanathan.
IEEE Transactions on Communications (2011)
Performance Analysis of Two Hop Amplify-and-Forward Systems with Interference at the Relay
H A Suraweera;H K Garg;A Nallanathan.
IEEE Communications Letters (2010)
Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan.
IEEE Journal on Selected Areas in Communications (2020)
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces
Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu.
IEEE Transactions on Wireless Communications (2020)
On the Security of Cognitive Radio Networks
Maged Elkashlan;Lifeng Wang;Trung Q. Duong;George K. Karagiannidis.
IEEE Transactions on Vehicular Technology (2015)
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