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机构地区:[1]南京邮电大学江苏省无线通信重点实验室,南京210003 [2]南京邮电大学教育部宽带无线通信与传感网技术重点实验室,南京210003
出 处:《系统仿真学报》2012年第12期2535-2539,共5页Journal of System Simulation
基 金:国家重点基础研究发展计划资助(2007CB310607);863项目(2009AA01Z241);国家自然科学基金(60772062);国家科技重大专项(2011ZX03001-006-02;2011ZX03005-004-03)
摘 要:认知无线电能通过提高频谱资源利用率,来解决无线频谱资源紧缺的问题,正交频分复用(OFDM)被认为是能与认知系统完美结合的技术。提出了一种基于OFDM认知系统的动态资源分配算法。该算法从最大化次用户的总传输比特速率出发,在次用户总的发送功率限制和主用户的干扰门限限制下,基于构建的新的代价函数,运用改进的匈牙利算法进行子信道分配,然后根据次用户的需求,进行自适应比特和功率分配。仿真结果表明,该算法可以有效利用不同主用户频带间的频谱空穴,使次用户系统的吞吐量最大,同时保证各个主用户受到的干扰总量低于各自的干扰门限。Cognitive radio (CR) is a concept to improve the utilization of scarce spectrum resources in wireless communication, and orthogonal frequency division multiplexing (OFDM) is regarded as the best technology to match with the CR systems. A dynamic resource allocation algorithm for OFDM CR systems was proposed. This algorithm solved the optimization problem based on maximizing the total transmit bit rates of secondary users, on the one hand, the total transmit power of secondary users should be below the transmit power constraint, on the other hand, the interference to primary users should be under the maximum interference level. The subchannels were allocated by an improved Hungarian Algorithm based on a new cost function, then, the bits and power adaptively were allocated based on requirement of secondary users. Simulation results show that the proposed algorithm could effectively use spectrum holes and improve the system throughput with the constraint on every primary user.
关 键 词:认知无线电 正交频分复用(OFDM) 资源分配 功率限制 干扰限制
分 类 号:TN929.5[电子电信—通信与信息系统]
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