中文说明：这提出了确定最优无线电传输参数的遗传算法驱动的认知无线电决策引擎。在过去几年，在无线通信中的快速革命已增加无线电频谱的需求，履行的服务质量 (QoS) 要求的无线应用，导致频谱的挤迫情况。为了解决拥挤问题的谱，认知无线电 （CR） 已成为领先的技术因为它可以智能地感觉未使用的频谱而无需创建对授权用户造成任何损害。一旦感觉到频谱，以满足 QoS 要求的应用程序，并更有效地利用无线资源分配优化的频谱智能决定是首要的要求。在这个项目中提出了频谱分配程序。遗传算法 （GA） 是一种进化计算技术用于工作在达尔文进化理论。
English Description：
This presents a genetic-algorithm driven, cognitive radio decision engine that determines the optimal radio transmission parameters. In past years, the rapid revolution in wireless communication has increased the demand of radio spectrum to fulfill quality of service (QoS) requirements of wireless applications, leading to spectrum overcrowding. To solve the spectrum overcrowding problem, cognitive radio (CR) has emerged as a leading technology because it can intelligently sense an unused spectrum without creating any harm to authorized users. Once the spectrum is sensed, to fulfill QoS requirement of the application and to utilize the radio resources more efficiently, an intelligent decision to allocate an optimum spectrum is a prime requirement. In this project a spectrum allocation procedure is proposed. Genetic Algorithms (GA) an evolutionary computational technique is used which works on Darwin theory of evolution.