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作 者:樊超 孙长印[2] 江帆[2] Fan Chao;Sun Changyin;Jiang Fan(School of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an,Shaanxi 710121,China;Shaanxi Key Laboratory of Information Communication Network and Security,Xi'an University of Posts and Telecommunications,XVan,Shaanxi 710121,China)
机构地区:[1]西安邮电大学通信与信息工程学院,陕西西安710121 [2]西安邮电大学信息通信网络与安全重点实验室,陕西西安710121
出 处:《激光与光电子学进展》2021年第17期179-186,共8页Laser & Optoelectronics Progress
基 金:国家自然科学基金(61801382,61871321,62071377);陕西省自然科学基金重点项目(2019JZ-06);陕西省重点产业链项目(2019ZDLGY07-06)。
摘 要:为解决双连接分流过程中资源利用率和由阻塞导致的资源浪费之间的矛盾,考虑总功率约束下毫米波链路高间歇性情形以及异构网络链路之间的公平性,以系统加权和速率最大化为优化目标,将非凸问题建模为有界离散时间的马尔可夫决策过程,提出一种具有阻塞预测的动态规划算法来解决微波毫米波并行连接的功率分配问题。仿真结果表明,该算法通过对功率分配策略进行学习,可以显著提升系统性能。To solve the contradiction between resource utilization and resource waste caused by congestion in the dual-connection offloading process,a dynamic programming algorithm with congestion prediction is proposed.Considering the high intermittent situation of millimeter wave links and fairness between heterogeneous network links under the constraint of total power,taking system weighting and rate maximization as the optimization goal,the non-convex problem is modeled as a finite-horizon discrete-time domain Markov decision process.The proposed algorithm is used to solve the power allocation problem in parallel connection of microwave and millimeter wave.The simulation results show that the algorithm can significantly improve the system performance by learning the power allocation strategy.
关 键 词:光通信 异构网络 功率分配 动态规划 系统公平性和链路阻塞
分 类 号:TN928[电子电信—通信与信息系统]
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