1997 - IEEE Fellow For contributions to adaptive interference suppression and multiuser detection of digital communications.
Michael L. Honig spends much of his time researching Algorithm, Communication channel, Code division multiple access, Control theory and Computer network. His Algorithm research is multidisciplinary, relying on both MIMO, Precoding and Filter. His research in Communication channel intersects with topics in Transmitter and Interference.
His studies in Code division multiple access integrate themes in fields like Spread spectrum, Process gain, Demodulation and Power control. His Control theory research is multidisciplinary, incorporating perspectives in Minimum mean square error, Covariance matrix and Linear filter. Michael L. Honig interconnects Distributed algorithm and Wireless, Wireless network in the investigation of issues within Computer network.
His main research concerns Algorithm, Computer network, Control theory, Communication channel and Code division multiple access. Multiuser detection is closely connected to Minimum mean square error in his research, which is encompassed under the umbrella topic of Algorithm. His Computer network study combines topics in areas such as Wireless and Wireless network.
His biological study spans a wide range of topics, including Channel capacity, Upper and lower bounds, MIMO and Matched filter. The concepts of his Communication channel study are interwoven with issues in Transmitter, Electronic engineering, Beamforming and Interference. His Code division multiple access research incorporates themes from Spread spectrum, Process gain, Radio receiver and Detector.
His primary areas of investigation include Computer network, Spectrum management, Cellular network, Frequency allocation and Communication channel. His work on Bandwidth as part of general Computer network research is frequently linked to Internet access, bridging the gap between disciplines. His work carried out in the field of Communication channel brings together such families of science as Algorithm, Duplex and Telecommunications link.
His Telecommunications link study integrates concerns from other disciplines, such as Control theory, Electronic engineering, Beamforming, Mathematical optimization and Backhaul. His work deals with themes such as Single antenna interference cancellation and Base transceiver station, which intersect with Control theory. While the research belongs to areas of Channel state information, Michael L. Honig spends his time largely on the problem of Precoding, intersecting his research to questions surrounding Fading.
Computer network, Spectrum management, Frequency allocation, Cellular network and Communication channel are his primary areas of study. The Computer network study combines topics in areas such as Telecommunications and Stochastic game. His Spectrum management study also includes fields such as
In his research on the topic of Frequency allocation, Radio resource management is strongly related with Heterogeneous network. He has included themes like Duplex, Interference and Control theory in his Precoding study. His work is dedicated to discovering how Control theory, Transmitter are connected with Algorithm and other disciplines.
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Blind adaptive multiuser detection
M. Honig;U. Madhow;S. Verdu.
IEEE Transactions on Information Theory (1995)
MMSE interference suppression for direct-sequence spread-spectrum CDMA
U. Madhow;M.L. Honig.
IEEE Transactions on Communications (1994)
What is the value of limited feedback for MIMO channels
D.J. Love;R.W. Heath;W. Santipach;M.L. Honig.
IEEE Communications Magazine (2004)
Distributed interference compensation for wireless networks
Jianwei Huang;R.A. Berry;M.L. Honig.
allerton conference on communication, control, and computing (2006)
Auction-based spectrum sharing
Jianwei Huang;Randall A. Berry;Michael L. Honig.
ad hoc networks (2006)
Adaptive reduced-rank interference suppression based on the multistage Wiener filter
M.L. Honig;J.S. Goldstein.
IEEE Transactions on Communications (2002)
Adaptive Filters: Structures, Algorithms and Applications
Michael L. Honig;David G. Messerschmitt.
Performance of reduced-rank linear interference suppression
M.L. Honig;Weimin Xiao.
IEEE Transactions on Information Theory (2001)
Optimization of wireless resources for personal communications mobility tracking
Upamanyu Madhow;Michael L. Honig;Kenneth Steiglitz.
IEEE ACM Transactions on Networking (1995)
Interference suppression in cdma systems
Michael Latham Honig;Upamanyu Madhow.
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