Easing the squeeze: dynamic and distributed resource allocation with cognitive radio

Project description

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. In this project we will design novel dynamic and distributed resource allocation algorithms for cognitive radios in order to significantly improve their performance. We will do so using techniques from extreme value theory, game theory and mechanism design and large random
matrix theory.

Project team

Leader: Tansu Alpcan

Staff: Subhrakanti Dey

Collaborators: Jamie Evans (Monash University) Hazer Inaltekin (Antalya International University)

Sponsors: ARC

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Electrical & Electronic Engineering


Networks and data in society


communications and networks; wireless communication systems