Modelling and Optimising Cognitive Radio Networks

在过去十年中，无线通信服务出现了前所未有的增长，这导致了频谱带的严重稀缺，并对可用的无线电频谱带施加了越来越大的压力。然而，许多研究人员报告的实际频率使用测量表明，一些许可的无线电频谱利用率极低。传统的静态频谱分配方法可以有效地减少不同无线业务之间的干扰，但会导致严重的频谱短缺和低的授权频谱利用率。频谱共享是缓解这一困境的潜在解决方案。为了响应谷歌、摩托罗拉、微软、Earthlink和戴尔等科技公司的要求，开放未使用的频谱（称为“白色空间”）用于未经许可的使用，美国联邦通信委员会（FCC）发布了一份拟议规则制定通知，推进认知无线电（CR）技术作为实现频谱共享的候选技术。

The last decade has seen unprecedented growth in wireless communication services, which has consequently resulted in severe scarcity of spectrum bands and imposed increasing pressure on the available radio spectrum bands. However, actual frequency usage measurements reported by many researchers indicate some licensed radio spectrums are extremely underutilized. The conventional static spectrum assignment is effective to reduce interference between different wireless services but results in severe spectrum scarcity and low utilization of licensed spectrum. Spectrum sharing is a potential solution to alleviate this dilemma. In response to request from technology companies like Google, Motorola, Microsoft, Earthlink and Dell, to open the unused spectrum known as 'white space' for unlicensed use, the American Federal Communications Commission (FCC) has issued a Notice of Proposed Rule Making advancing cognitive radio (CR) technology as a candidate to implement spectrum sharing.