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机构地区:[1]哈尔滨工业大学通信技术研究所,黑龙江哈尔滨150080
出 处:《华南理工大学学报(自然科学版)》2010年第9期25-29,51,共6页Journal of South China University of Technology(Natural Science Edition)
基 金:国家"863"计划项目(2008AA12Z305);国家自然科学基金委员会与中国民用航空局联合资助项目(61071104)
摘 要:在瑞利衰落模型下,根据认知用户的效用函数,来解决认知无线电中的信道规划问题,进而得到认知用户的传输速率。当认知用户传输功率和比特误码率受限时,其最终效用仅与water-level有关,因此文中提出了一种基于water-level调整的功率分配及算法,实现了认知无线电中载波及功率的合理分配,并得到了认知用户的传输速率.理论与仿真分析表明:该算法具有较低的运算复杂度和接近于最优算法的认知用户效用;调整因子仅与算法的收敛速度有关,而与用户总效用及信道的分配结果无关.By means of the wireless transmission model of Rayleigh fading,people often use the utility function of cognitive users to solve the problem of channel programming in cognitive radio networks and to further obtain the transmission rate.As the final communication utility only relates to the water-level when both the total transmission power and the bit error rate(BER) of cognitive users are constrained,a algorithm of power allocation based on water-level adjustment is proposed,through which power and subcarriers can be assigned reasonably and the transmission rate can be finally obtained.Theoretical and simulative results show that the proposed algorithm is of low computation complexity and high utility close to that of the optimal algorithm,and that the adjustment factor only relates to the convergence rate of the algorithm,but not to the total utility and channel allocation results of cognitive users.
关 键 词:认知无线电 效用函数 water-level调整 信道分配 算法复杂度
分 类 号:TN929.5[电子电信—通信与信息系统]
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