认知无线电中考虑机会容量的多业务资源分配

Resource allocation based on opportunistic capacity for cognitive radio networks with heterogeneous services

动态网络场景的频谱资源存在时变性,而传统基于静态特性的子载波组分配方式无法保障用户的业务需求.针对此问题,将子载波组的时变可用频谱资源建模成以子载波组中可用子载波数为状态的连续时间半马尔可夫模型,推导出子载波组机会容量的通用表示形式,并基于该模型结合不同用户的多业务需求以最大化系统机会容量为准则,提出了一种基于子载波组机会容量的多业务资源分配算法.仿真结果表明,所提算法在频谱环境变化场景下能有效保障用户多业务的需求.

The spectrum resource is time-varied in cognitive radio networks(C R N s)with dynamic spectrum environment,which makes the traditional static chunk-based allocation be of poor performance.To solve this issue,this paper derives an opportunistic capacity model for chunks with time-varied spectrum resources and presents an opportunistic capacity based chunk allocation model for heterogeneous services for CRNs under the time-varied spectrum environment.Simulation results illustrate that the proposed scheme can guarantee the Quality of Service(QoS)requirements of heterogeneous services in the situation with time-varied spectrum resources.