2004 - Fellow of the Royal Academy of Engineering (UK)
2004 - IEEE Fellow For contributions to adaptive wireless communication systems.
His scientific interests lie mostly in Electronic engineering, Wireless, Algorithm, MIMO and Communication channel. His Electronic engineering research is multidisciplinary, relying on both Quadrature amplitude modulation, Orthogonal frequency-division multiplexing and Fading. Lajos Hanzo has researched Wireless in several fields, including Transmission, Computer network and Spectral efficiency.
His work deals with themes such as Theoretical computer science, Bit error rate and Detector, which intersect with Algorithm. His MIMO study incorporates themes from Base station and Control theory. The various areas that Lajos Hanzo examines in his Communication channel study include Beamforming, Synchronization and Topology.
Lajos Hanzo mostly deals with Electronic engineering, Algorithm, Communication channel, Bit error rate and Decoding methods. The study incorporates disciplines such as Modulation, MIMO, Orthogonal frequency-division multiplexing and Fading in addition to Electronic engineering. His work focuses on many connections between MIMO and other disciplines, such as Wireless, that overlap with his field of interest in Transmission and Spectral efficiency.
His study in Algorithm is interdisciplinary in nature, drawing from both Theoretical computer science and Detector. His research integrates issues of Throughput and Computer network, Telecommunications link in his study of Communication channel. His studies deal with areas such as Multiuser detection, Phase-shift keying and Quadrature amplitude modulation as well as Bit error rate.
The scientist’s investigation covers issues in Communication channel, Wireless, Algorithm, Electronic engineering and MIMO. His Communication channel study combines topics from a wide range of disciplines, such as Overhead, Beamforming, Interference, Telecommunications link and Topology. Within one scientific family, Lajos Hanzo focuses on topics pertaining to Spectral efficiency under Wireless, and may sometimes address concerns connected to Noma.
His Algorithm research focuses on Detector and how it relates to Spatial modulation. His Electronic engineering study integrates concerns from other disciplines, such as Modulation, Baseband, Radio frequency, Orthogonal frequency-division multiplexing and Extremely high frequency. In his work, Communications system is strongly intertwined with Optimization problem, which is a subfield of MIMO.
His primary areas of investigation include Wireless, Communication channel, MIMO, Distributed computing and Algorithm. His Wireless research is included under the broader classification of Telecommunications. His Communication channel research incorporates themes from Electronic engineering, Beamforming, Telecommunications link and Interference.
His Electronic engineering research incorporates elements of Baseband, Antenna array and Extremely high frequency. The concepts of his MIMO study are interwoven with issues in Radio frequency, Channel state information and Detector. His research in Algorithm focuses on subjects like Transmitter, which are connected to Upper and lower bounds.
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.
OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting
Lajos Hanzo;T. Keller;M. Muenster;B-J. Choi.
Mobile Radio Communications: Second and Third Generation Cellular and WATM Systems: 2nd
Raymond Steele;Lajos Hanzo.
Spatial Modulation for Generalized MIMO: Challenges, Opportunities, and Implementation
Marco Di Renzo;Harald Haas;Ali Ghrayeb;Shinya Sugiura.
Proceedings of the IEEE (2014)
Quadrature Amplitude Modulation: From Basics to Adaptive Trellis-Coded, Turbo-Equalised and Space-Time Coded OFDM, CDMA and MC-CDMA Systems
L. Hanzo;S.X. Ng;W.T. Webb;T. Keller.
Green radio: radio techniques to enable energy-efficient wireless networks
Congzheng Han;T Harrold;S Armour;I Krikidis.
IEEE Communications Magazine (2011)
Turbo Coding, Turbo Equalisation and Space-Time Coding
L. Hanzo;T.H. Liew;B.L. Yeap.
Single- and Multi-carrier Quadrature Amplitude Modulation : Principles and Applications for Personal Communications, WLANs and Broadcasting
Lajos Hanzo;William Webb;T. Keller.
Single- and Multi-Carrier DS-CDMA: Multi-USer Detection, Space-Time Spreading, Synchronisation, Standards and Networking
L. Hanzo;L-L. Yang;E.L. Kuan;K. Yen.
A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends
Yulong Zou;Jia Zhu;Xianbin Wang;Lajos Hanzo.
arXiv: Information Theory (2016)
Machine Learning Paradigms for Next-Generation Wireless Networks
Chunxiao Jiang;Haijun Zhang;Yong Ren;Zhu Han.
IEEE Wireless Communications (2017)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: