2004 - IEEE Fellow For contributions to the field of space-time signal processing for radar and wireless communications.
His primary areas of investigation include MIMO, Communication channel, Computer network, Electronic engineering and Wireless. His MIMO research includes themes of Detector and Topology. His Communication channel research integrates issues from Transmitter and Algorithm.
His study on Cellular network is often connected to Jamming as part of broader study in Computer network. His Wireless research focuses on Transmitter power output and how it relates to Interference and Artificial noise. In his study, Base station is inextricably linked to Multi-user MIMO, which falls within the broad field of 3G MIMO.
His primary scientific interests are in MIMO, Communication channel, Algorithm, Telecommunications link and Electronic engineering. His MIMO research is multidisciplinary, incorporating perspectives in Transmitter, Computer network, Spectral efficiency and Topology. In Computer network, A. Lee Swindlehurst works on issues like Physical layer, which are connected to Wireless network.
His Communication channel research focuses on Wireless and how it connects with Signal processing. His Telecommunications link research incorporates themes from Real-time computing, Quantization, Base station and Modulation. His Precoding study incorporates themes from Spatial multiplexing, Multi-user MIMO, Phase-shift keying and 3G MIMO.
A. Lee Swindlehurst spends much of his time researching MIMO, Communication channel, Algorithm, Wireless and Telecommunications link. His work carried out in the field of MIMO brings together such families of science as Delta-sigma modulation, Spectral efficiency, Support vector machine and Orthogonal frequency-division multiplexing. The Communication channel study combines topics in areas such as Signal-to-noise ratio, Secure transmission and Artificial noise.
His Algorithm research is multidisciplinary, incorporating elements of Path loss, Upper and lower bounds, Estimator and Joint. A. Lee Swindlehurst combines subjects such as Electronic engineering, Computer network and Signal with his study of Wireless. His biological study spans a wide range of topics, including Quantization, Computational complexity theory, Iterative method, Trajectory optimization and Topology.
His main research concerns Communication channel, MIMO, Algorithm, Telecommunications link and Wireless. The study incorporates disciplines such as Artificial noise and Modulation in addition to Communication channel. His research on MIMO focuses in particular on Precoding.
His research investigates the link between Algorithm and topics such as Estimator that cross with problems in Finite impulse response, Bandwidth, Path loss, Fisher information and Upper and lower bounds. His Telecommunications link study also includes fields such as
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.
An Overview of Massive MIMO: Benefits and Challenges
Lu Lu;Geoffrey Ye Li;A. Lee Swindlehurst;Alexei E. Ashikhmin.
IEEE Journal of Selected Topics in Signal Processing (2014)
Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey
Amitav Mukherjee;S. Ali A. Fakoorian;Jing Huang;A. Lee Swindlehurst.
IEEE Communications Surveys and Tutorials (2014)
Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey
Amitav Mukherjee;S. A. A. Fakoorian;Jing Huang;A. Lee Swindlehurst.
arXiv: Information Theory (2010)
Millimeter-wave massive MIMO: the next wireless revolution?
A. Lee Swindlehurst;Ender Ayanoglu;Payam Heydari;Filippo Capolino.
IEEE Communications Magazine (2014)
Robust Beamforming for Security in MIMO Wiretap Channels With Imperfect CSI
Amitav Mukherjee;A Lee Swindlehurst.
IEEE Transactions on Signal Processing (2011)
Wireless Relay Communications with Unmanned Aerial Vehicles: Performance and Optimization
Pengcheng Zhan;Kai Yu;A. Lee Swindlehurst.
IEEE Transactions on Aerospace and Electronic Systems (2011)
Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems
Yongzhi Li;Cheng Tao;Gonzalo Seco-Granados;Amine Mezghani.
IEEE Transactions on Signal Processing (2017)
Fixed SINR solutions for the MIMO wiretap channel
A. Lee Swindlehurst.
international conference on acoustics, speech, and signal processing (2009)
Secure Communication Via an Untrusted Non-Regenerative Relay in Fading Channels
Jing Huang;Amitav Mukherjee;A. Lee Swindlehurst.
IEEE Transactions on Signal Processing (2013)
Downlink Resource Reuse for Device-to-Device Communications Underlaying Cellular Networks
Daohua Zhu;Jiaheng Wang;A. Lee Swindlehurst;Chunming Zhao.
IEEE Signal Processing Letters (2014)
Profile was last updated on December 6th, 2021.
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