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作 者:苗丰满[1] 张海军 蔺莹[1] 薛建彬[1] 张永刚 MIAO Fengman;ZHANG Haijun;LIN Ying;XUE Jianbin;ZHANG Yonggang(School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China)
机构地区:[1]兰州理工大学计算机与通信学院,甘肃兰州730050
出 处:《国防科技大学学报》2022年第4期198-203,共6页Journal of National University of Defense Technology
基 金:国家自然科学基金资助项目(61841107);甘肃省自然科学基金资助项目(18JR3RA153)。
摘 要:针对现有关于认知无线电非正交多址接入网络的研究中终端电池容量有限和能源利用率低的缺点,采用了中继辅助用户进行传输,并且引入无线信息和能量同时传输的方式。在用户服务质量和最小能量捕获的约束条件下推导了次用户传输能效表达式,通过分式规划方法把非凸的目标函数转化为优化中继发射功率、中继功率分配和接收端功率分配三个凸的单目标问题,并分别用函数单调性、黄金分割算法、拉格朗日对偶算法和多目标联合优化算法进行优化,求得了全局最优解,使次用户系统传输能效最大化。对所采用的算法复杂度进行分析,仿真结果表明:与传统的正交多址接入方案相比较,在提高系统频谱利用率的同时,次用户传输能效有47%的提高。In view of the shortcomings of limited terminal battery capacity and low energy efficiency in the existing research on CR-NOMA(cognitive radio non-orthogonal multiple access)networks,a relay was used to assist users in transmission,and a method of simultaneous transmission of wireless information and energy was introduced.Under the constraints of user service quality and minimum energy capture,the sub-user transmission energy efficiency expression was derived.The non-convex objective function was transformed into three convex single-objective problems of optimizing relay transmission power,relay power allocation and receiver power allocation by fractional programming method.Using function monotonicity,golden section algorithm,Lagrangian dual algorithm and multi-objective joint optimization algorithm for optimization,the global optimal solution was obtained to maximize the transmission energy efficiency of the secondary user system.The complexity of the adopted algorithm was analyzed.The simulation results show that compared with the traditional OMA(orthogonal multiple access)scheme,while the system spectrum utilization was improved,the sub-user transmission energy efficiency has been improved by 47%.
关 键 词:非正交多址接入 认知无线电 无线携能 解码转发 系统能效
分 类 号:TN92[电子电信—通信与信息系统]
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