2019 - IEEE Richard W. Hamming Medal “For seminal contributions to wireless network information theory and wireless network systems.”
2018 - Member of the National Academy of Engineering For contributions to wireless network information theory.
2017 - IEEE Claude E. Shannon Award
His scientific interests lie mostly in Communication channel, Channel capacity, Computer network, Fading and Topology. His Communication channel study focuses on MIMO in particular. David Tse has included themes like Markov process, Power control, Signal-to-noise ratio, Mathematical optimization and Algorithm in his Channel capacity study.
The study incorporates disciplines such as Wireless, Wireless ad hoc network, Throughput and Wireless network in addition to Computer network. His Fading research integrates issues from Spatial correlation, Antenna diversity, Code division multiple access, Multipath propagation and Channel state information. His work in the fields of Topology, such as Upper and lower bounds, overlaps with other areas such as Generalization.
His primary areas of investigation include Communication channel, Computer network, Topology, Algorithm and Channel capacity. His Communication channel research is mostly focused on the topic Fading. His studies in Computer network integrate themes in fields like Wireless, Wireless ad hoc network, Throughput and Wireless network.
His work in Wireless addresses issues such as MIMO, which are connected to fields such as Multiplexing and Antenna. His biological study deals with issues like Interference, which deal with fields such as Transmission. The Channel capacity study combines topics in areas such as Signal-to-noise ratio, Noise and Decoding methods.
David Tse mainly focuses on Artificial intelligence, Algorithm, Computer network, Machine learning and Cluster analysis. His research in Artificial intelligence tackles topics such as Pattern recognition which are related to areas like Pairwise comparison. His Algorithm study incorporates themes from Sampling and Gradient descent.
Many of his research projects under Computer network are closely connected to Ledger with Ledger, tying the diverse disciplines of science together. He undertakes multidisciplinary investigations into Market liquidity and Communication channel in his work. His Gaussian channels study in the realm of Communication channel interacts with subjects such as Extension.
David Tse mostly deals with Algorithm, Machine learning, Artificial intelligence, Software and Blockchain. The concepts of his Algorithm study are interwoven with issues in Sampling, Molecule and Code. His work on Artificial neural network and Supervised learning as part of general Machine learning study is frequently linked to Matrix norm, therefore connecting diverse disciplines of science.
His Artificial intelligence study integrates concerns from other disciplines, such as Mathematical optimization, Linear-quadratic-Gaussian control and Generalizability theory. His work deals with themes such as Database transaction, Computer network and Scaling, which intersect with Blockchain. His work focuses on many connections between Scaling and other disciplines, such as Adversary, that overlap with his field of interest in Security analysis and Network delay.
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Cooperative diversity in wireless networks: Efficient protocols and outage behavior
J.N. Laneman;D.N.C. Tse;G.W. Wornell.
IEEE Transactions on Information Theory (2004)
Fundamentals of Wireless Communication
David Tse;Pramod Viswanath.
Mobility increases the capacity of ad hoc wireless networks
Matthias Grossglauser;David N. C. Tse.
IEEE ACM Transactions on Networking (2002)
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
Lizhong Zheng;D.N.C. Tse.
IEEE Transactions on Information Theory (2003)
Opportunistic beamforming using dumb antennas
P. Viswanath;D.N.C. Tse;R. Laroia.
international symposium on information theory (2002)
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
P. Viswanath;D.N.C. Tse.
IEEE Transactions on Information Theory (2003)
Spectrum sharing for unlicensed bands
R. Etkin;A. Parekh;D. Tse.
IEEE Journal on Selected Areas in Communications (2007)
Gaussian Interference Channel Capacity to Within One Bit
R.H. Etkin;D.N.C. Tse;Hua Wang.
IEEE Transactions on Information Theory (2008)
Multiaccess fading channels. I. Polymatroid structure, optimal resource allocation and throughput capacities
D.N.C. Tse;S.V. Hanly.
IEEE Transactions on Information Theory (1998)
Capacity scaling in MIMO wireless systems under correlated fading
Chen-Nee Chuah;D.N.C. Tse;J.M. Kahn;R.A. Valenzuela.
IEEE Transactions on Information Theory (2002)
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