2022 - Research.com Electronics and Electrical Engineering in Israel Leader Award
2017 - IEEE Richard W. Hamming Medal “For fundamental contributions to information theory and wireless communications.”
2013 - Member of the National Academy of Engineering For contributions to information theory for wireless communication technology.
2011 - IEEE Claude E. Shannon Award
1994 - IEEE Fellow For contributions to Shannon theory as applied to the evaluation of reliability of communication channels.
His primary scientific interests are in Communication channel, Channel capacity, Computer network, Topology and Transmitter. Communication channel is a subfield of Telecommunications that he explores. His Channel capacity study combines topics from a wide range of disciplines, such as Spatial correlation, Fading, Additive white Gaussian noise, Precoding and Decoding methods.
His research in Computer network intersects with topics in Broadcast channels and Throughput. His work in Topology addresses issues such as Multiplexing, which are connected to fields such as Gaussian process. His study in Transmitter is interdisciplinary in nature, drawing from both Broadcast control channel, Cognitive radio, MIMO, Electronic engineering and Channel state information.
His primary areas of investigation include Communication channel, Topology, Decoding methods, Computer network and Algorithm. The various areas that Shlomo Shamai examines in his Communication channel study include Transmitter and Upper and lower bounds. His work in Topology covers topics such as MIMO which are related to areas like Control theory.
As a member of one scientific family, he mostly works in the field of Decoding methods, focusing on Theoretical computer science and, on occasion, Information theory. He has researched Computer network in several fields, including Wireless, Throughput, Relay and Cloud computing. While the research belongs to areas of Channel capacity, he spends his time largely on the problem of Additive white Gaussian noise, intersecting his research to questions surrounding Applied mathematics.
His main research concerns Communication channel, Topology, Computer network, Telecommunications link and Decoding methods. Shlomo Shamai interconnects Transmitter, Algorithm, Upper and lower bounds and Secrecy in the investigation of issues within Communication channel. His Topology research is multidisciplinary, incorporating perspectives in Relay, Telecommunications, Multiplexing, MIMO and Constant.
His Computer network study combines topics in areas such as Wireless, Enhanced Data Rates for GSM Evolution and Cloud computing. The study incorporates disciplines such as Transmitter power output, Precoding, Baseband, Radio access network and Electronic engineering in addition to Telecommunications link. His work is dedicated to discovering how Decoding methods, Secure communication are connected with Secret sharing and other disciplines.
Computer network, Communication channel, Telecommunications link, Algorithm and Decoding methods are his primary areas of study. His Computer network research incorporates elements of Wireless, Cloud computing and Interference alignment. His studies in Communication channel integrate themes in fields like Superposition principle, Key generation, Encoder, Secrecy and Topology.
Shlomo Shamai interconnects Amplitude, MIMO, Physical layer and Channel capacity in the investigation of issues within Topology. His Algorithm research is multidisciplinary, incorporating perspectives in Wiretap channels, Noise and Distortion. His research in Decoding methods intersects with topics in Transmitter, Secure communication, Encoding and Computer security.
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.
On the achievable throughput of a multiantenna Gaussian broadcast channel
G. Caire;S. Shamai.
IEEE Transactions on Information Theory (2003)
Fading channels: information-theoretic and communications aspects
E. Biglieri;J. Proakis;S. Shamai.
IEEE Transactions on Information Theory (1998)
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
H. Weingarten;Y. Steinberg;S. Shamai.
IEEE Transactions on Information Theory (2006)
Information theoretic considerations for cellular mobile radio
L.H. Ozarow;S. Shamai;A.D. Wyner.
IEEE Transactions on Vehicular Technology (1994)
Spectral efficiency of CDMA with random spreading
S. Verdu;S. Shamai.
IEEE Transactions on Information Theory (1999)
Mutual information and minimum mean-square error in Gaussian channels
Dongning Guo;S. Shamai;S. Verdu.
IEEE Transactions on Information Theory (2005)
Secure Communication Over Fading Channels
Yingbin Liang;H.V. Poor;S. Shamai.
IEEE Transactions on Information Theory (2008)
Nested linear/lattice codes for structured multiterminal binning
R. Zamir;S. Shamai;U. Erez.
IEEE Transactions on Information Theory (2002)
Linear precoding via conic optimization for fixed MIMO receivers
A. Wiesel;Y.C. Eldar;S. Shamai.
IEEE Transactions on Signal Processing (2006)
Degrees of Freedom Region of the MIMO $X$ Channel
S.A. Jafar;S. Shamai.
IEEE Transactions on Information Theory (2008)
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