Matthew R. McKay focuses on MIMO, Fading, Control theory, Topology and Applied mathematics. His research integrates issues of Signal-to-noise ratio, Upper and lower bounds, Spatial correlation and Multiplexing in his study of MIMO. Matthew R. McKay has researched Fading in several fields, including Transmission, Secure transmission and Electronic engineering.
Matthew R. McKay works mostly in the field of Control theory, limiting it down to topics relating to Channel capacity and, in certain cases, Beamforming and Throughput. His study in Topology is interdisciplinary in nature, drawing from both Relay channel and Block code. His work carried out in the field of Applied mathematics brings together such families of science as Random matrix, Rician fading, Combinatorics, Joint probability distribution and Estimator.
MIMO, Communication channel, Topology, Beamforming and Transmission are his primary areas of study. His MIMO research incorporates elements of Spatial correlation, Control theory, Fading, Signal-to-noise ratio and Algorithm. In the field of Communication channel, his study on Channel capacity overlaps with subjects such as Rayleigh scattering.
His Topology research focuses on subjects like Channel state information, which are linked to Transmitter. Electronic engineering covers Matthew R. McKay research in Beamforming. His Transmission research is multidisciplinary, incorporating perspectives in Spatial multiplexing, Computer network and Transmitter power output.
His main research concerns Epitope, Severe acute respiratory syndrome coronavirus 2, Computational biology, Communication channel and B cell. His Epitope study deals with Virology intersecting with Epitope mapping. The concepts of his Communication channel study are interwoven with issues in Upper and lower bounds, Estimator and Communications system.
In his work, Mathematical optimization, Channel state information and Topology is strongly intertwined with System parameters, which is a subfield of Upper and lower bounds. His research investigates the connection between B cell and topics such as Major histocompatibility complex that intersect with issues in Virus. His Beamforming research is multidisciplinary, relying on both Transmission, Path loss, Quantum key distribution, MIMO and Multiplexing.
Matthew R. McKay mainly investigates Epitope, Computational biology, Severe acute respiratory syndrome coronavirus 2, T cell and Major histocompatibility complex. Matthew R. McKay performs integrative study on Epitope and Coronavirus in his works. Matthew R. McKay integrates several fields in his works, including Coronavirus and Reverse vaccinology.
His T cell research is multidisciplinary, incorporating elements of Immunity and Immunogenicity. His Major histocompatibility complex study combines topics from a wide range of disciplines, such as Novel virus, B cell and Virology. His studies in B cell integrate themes in fields like Virus and Epitope mapping.
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Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies.
Syed Faraz Ahmed;Ahmed Abdul Quadeer;Matthew Robert Mckay.
Secure Transmission With Artificial Noise Over Fading Channels: Achievable Rate and Optimal Power Allocation
Xiangyun Zhou;M R McKay.
IEEE Transactions on Vehicular Technology (2010)
Performance Analysis of MIMO-MRC in Double-Correlated Rayleigh Environments
M.R. McKay;A.J. Grant;I.B. Collings.
IEEE Transactions on Communications (2007)
Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems
Shi Jin;Matthew R McKay;Caijun Zhong;Kai-Kit Wong.
IEEE Transactions on Information Theory (2010)
Rethinking the Secrecy Outage Formulation: A Secure Transmission Design Perspective
Xiangyun Zhou;M R McKay;B Maham;A Hjørungnes.
IEEE Communications Letters (2011)
General capacity bounds for spatially correlated Rician MIMO channels
M.R. McKay;I.B. Collings.
IEEE Transactions on Information Theory (2005)
On the Design of Artificial-Noise-Aided Secure Multi-Antenna Transmission in Slow Fading Channels
Xi Zhang;Xiangyun Zhou;M. R. McKay.
IEEE Transactions on Vehicular Technology (2013)
Adaptive MIMO Transmission for Exploiting the Capacity of Spatially Correlated Channels
A. Forenza;M.R. McKay;M.R. McKay;A. Pandharipande;R.W. Heath.
IEEE Transactions on Vehicular Technology (2007)
Error probability and SINR analysis of optimum combining in rician fading
M. Mckay;A. Zanella;I. Collings;M. Chiani.
IEEE Transactions on Communications (2009)
MIMO multichannel beamforming: SER and outage using new eigenvalue distributions of complex noncentral Wishart matrices
Shi Jin;M.R. McKay;Xiqi Gao;I.B. Collings.
IEEE Transactions on Communications (2008)
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