EASING THE SQUEEZE: DYNAMIC AND DISTRIBUTED RESOURCE ALLOCATION WITH COGNITIVE RADIO
Grant number: DP140101050 | Funding period: 2016 - 2017
The radio spectrum is a scarce and valuable natural resource which is being squeezed by the rapid growth in wireless communications. Cognitive radios make efficient use of radio spectrum by dynamically reusing frequencies. This requires cognitive radios to sense the local environment and to control the interference caused to existing users of the spectrum. This project will design novel dynamic and distributed resource allocation algorithms for cognitive radios in order to significantly improve their performance using techniques from extreme value theory, game theory and mechanism design and large random matrix theory.
Related publications (13)
Power Allocation for Distributed Detection Systems in Wireless Sensor Networks With Limited Fusion Center Feedback
Xiaoxi Guo, Yuanyuan He, Saman Atapattu, Subhrakanti Dey, Jamie S Evans
We consider a distributed detection system for a wireless sensor network over slow-fading channels. Each sensor only has knowledge..
Exact Outage Analysis of Multiple-User Downlink With MIMO Matched-Filter Precoding
Saman Atapattu, Prathapasinghe Dharmawansa, Chintha Tellambura, Jamie Evans
Here, we address the problem of outage characterization of a single-cell multiple-user multiple-inputmultiple- output (MU-MIMO) ne..