Easing the Squeeze: Dynamic and Distributed Resource Allocation with Cognitive Radio

无线电频谱是一种稀缺而宝贵的自然资源，正受到无线通信快速增长的挤压。认知无线电通过动态重复使用频率来有效利用无线电频谱。这需要认知无线电来感知当地环境，并控制对现有频谱用户的干扰。本项目将利用极值理论、博弈论和机制设计以及大随机矩阵理论等技术，为认知无线电设计新的动态和分布式资源分配算法，以显著提高其性能。

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.