Roy D. Yates mostly deals with Computer network, Transmitter, Mathematical optimization, Wireless and Power control. His Computer network research includes elements of Secrecy, Distributed computing and Communication channel. The Transmitter study combines topics in areas such as Signal-to-interference ratio and Decoding methods.
His studies deal with areas such as Data as a service, Bandwidth and Energy storage as well as Wireless. His Power control research integrates issues from Filter design, Code division multiple access, Markov model, Base station and Maximum power principle. His Base station study incorporates themes from Telecommunications link and Asynchronous communication.
Roy D. Yates spends much of his time researching Computer network, Communication channel, Real-time computing, Algorithm and Code division multiple access. His biological study spans a wide range of topics, including Wireless, Wireless network and Distributed computing. His study in Communication channel is interdisciplinary in nature, drawing from both Transmitter and Decoding methods.
His Transmitter research incorporates themes from Channel state information, Base station and Topology. His research integrates issues of Spread spectrum, Matched filter, Iterative method and Power control in his study of Code division multiple access. His Power control research incorporates elements of Signal-to-interference ratio and Telecommunications link.
His main research concerns Computer network, Information Age, Metric, Function and Hybrid system. Server is the focus of his Computer network research. His Metric study integrates concerns from other disciplines, such as Theoretical computer science, Expression, Distributed data store, Consistency and Multicast.
His research in Function intersects with topics in Queue and Offered load. His research in Offered load focuses on subjects like Communication channel, which are connected to Network conditions, Network packet and Throughput. The concepts of his Distributed computing study are interwoven with issues in Variety, State and Wireless network.
Server, Queueing theory, Queue, Hybrid system and Computer network are his primary areas of study. He combines subjects such as Sensor node, Process, Real-time computing and Upload with his study of Server. His Queueing theory research includes elements of Range, Variety and Distributed computing.
His work in Queue tackles topics such as Poisson distribution which are related to areas like Markov chain and Metric. The Hybrid system study combines topics in areas such as Data mining and Stationary distribution. His Computer network research incorporates themes from Wireless and The Internet.
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.
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications (1995)
Real-time status: How often should one update?
Sanjit Kaul;Roy Yates;Marco Gruteser.
international conference on computer communications (2012)
Update or Wait: How to Keep Your Data Fresh
Yin Sun;Elif Uysal-Biyikoglu;Roy D. Yates;C. Emre Koksal.
IEEE Transactions on Information Theory (2017)
Probability and stochastic processes : a friendly introduction for electrical and computer engineers
Roy D. Yates;David J. Goodman.
Bandwidth and Power Allocation for Cooperative Strategies in Gaussian Relay Networks
I. Maric;R.D. Yates.
IEEE Transactions on Information Theory (2010)
Discrete Memoryless Interference and Broadcast Channels With Confidential Messages: Secrecy Rate Regions
Ruoheng Liu;I. Maric;P. Spasojevic;R.D. Yates.
IEEE Transactions on Information Theory (2008)
Integrated power control and base station assignment
R.D. Yates;Ching-Yao Huang.
IEEE Transactions on Vehicular Technology (1995)
Constrained power control
Sudheer A. Grandhi;Jens Zander;Roy D. Yates.
Wireless Personal Communications (1994)
The Age of Information: Real-Time Status Updating by Multiple Sources
Roy D. Yates;Sanjit K. Kaul.
IEEE Transactions on Information Theory (2019)
The cache-and-forward network architecture for efficient mobile content delivery services in the future internet
S. Paul;R. Yates;D. Raychaudhuri;J. Kurose.
2008 First ITU-T Kaleidoscope Academic Conference - Innovations in NGN: Future Network and Services (2008)
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