2011 - IEEE Fellow For contributions to cellular architectures and radio resource management in wireless networks
Li-Chun Wang mostly deals with Computer network, Communication channel, Cognitive radio, Transmission and Queueing theory. His Computer network study combines topics in areas such as Wireless and Throughput. The concepts of his Communication channel study are interwoven with issues in Transmitter and Electronic engineering.
His Cognitive radio study incorporates themes from Real-time computing and Handover. His Transmission research incorporates themes from Data transmission, Queuing delay, Power control and Wideband. Li-Chun Wang has researched Queueing theory in several fields, including Admission control and Greedy algorithm.
His primary scientific interests are in Computer network, Communication channel, Electronic engineering, Base station and Throughput. His Computer network research is multidisciplinary, relying on both Wireless, Wireless network, Transmission and Distributed computing. His Communication channel research is multidisciplinary, incorporating elements of Algorithm and Handover.
His Electronic engineering research includes elements of Fading, MIMO, Interference, Orthogonal frequency-division multiplexing and Telecommunications link. His Base station research incorporates elements of Directional antenna, Cellular network, Real-time computing and Code division multiple access. Li-Chun Wang has included themes like Network packet and Power control in his Real-time computing study.
Li-Chun Wang focuses on Base station, Real-time computing, Wireless, Computer network and Communication channel. His Base station study also includes
Li-Chun Wang focuses mostly in the field of Wireless, narrowing it down to topics relating to Efficient energy use and, in certain cases, Flexibility, Telecommunications, Radio access network, Unsupervised learning and Power control. Li-Chun Wang frequently studies issues relating to Mobile service and Computer network. His studies deal with areas such as Telecommunications link and Communications system as well as Communication channel.
His primary areas of study are Base station, Real-time computing, Artificial intelligence, Cluster analysis and Reinforcement learning. As a member of one scientific family, he mostly works in the field of Real-time computing, focusing on Efficient energy use and, on occasion, Femtocell, Quality of service, Flexibility, Key and Radio access network. His research in Artificial intelligence intersects with topics in Wireless, Pursuer, Machine learning and Mobile device.
The study incorporates disciplines such as Matching, Unsupervised learning and Throughput in addition to Cluster analysis. His work carried out in the field of Throughput brings together such families of science as Communication channel and Power control. The various areas that Li-Chun Wang examines in his Reinforcement learning study include Artificial neural network and Cellular network.
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Key Technologies for 5G Wireless Systems
Li-Chun Wang;Vincent W.S. Wong;Robert Schober;Derrick Wing Kwan Ng.
Modeling and Analysis for Reactive-Decision Spectrum Handoff in Cognitive Radio Networks
Chung-Wei Wang;Li-Chun Wang;Fumiyuki Adachi.
global communications conference (2010)
Node computing data encryption method
Yu-Jia Chen;Chen-Hung Liao;Li-Chun Wang;Chung-Chih Li.
Modeling and Analysis for Spectrum Handoffs in Cognitive Radio Networks
Li-Chun Wang;Chung-Wei Wang;Chung-Ju Chang.
IEEE Transactions on Mobile Computing (2012)
Spectrum Handoff for Cognitive Radio Networks: Reactive-Sensing or Proactive-Sensins?
Li-Chun Wang;Chung-Wei Wang.
international performance computing and communications conference (2008)
Reducing internal and external fragmentations of OVSF codes in WCDMA systems with multiple codes
Chih-Min Chao;Yu-Chee Tseng;Li-Chun Wang.
IEEE Transactions on Wireless Communications (2005)
A unified capacity analysis for wireless systems with joint multiuser scheduling and antenna diversity in Nakagami fading channels
C.-J. Chen;Li-Chun Wang.
IEEE Transactions on Communications (2006)
Load-Balancing Spectrum Decision for Cognitive Radio Networks
Li-Chun Wang;Chung-Wei Wang;F Adachi.
IEEE Journal on Selected Areas in Communications (2011)
Distributed clustering algorithms for data-gathering in wireless mobile sensor networks
Chuan-Ming Liu;Chuan-Hsiu Lee;Li-Chun Wang.
Journal of Parallel and Distributed Computing (2007)
Modeling and Analysis for Proactive-Decision Spectrum Handoff in Cognitive Radio Networks
C.-W. Wang;L.-C. Wang.
international conference on communications (2009)
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