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作 者:刘占军[1] 朱志超[1] 周诗妍[1] 张祖凡[1]
机构地区:[1]重庆邮电大学移动通信技术重点实验室,重庆400065
出 处:《西安电子科技大学学报》2013年第6期168-173,共6页Journal of Xidian University
基 金:国家重大专项资助项目(2010ZX03003008-004);重庆市教委资助项目(KJ120510);重庆邮电大学自然科学基金资助项目(A2011-15)
摘 要:针对多点协作传输(CoMP)技术实现C-RAN架构无线接入网中组播业务时协作远端射频单元(RRU)集合的选择问题,设计了基于组播用户的接收信号质量和远端射频单元当前负载状况的协作远端射频单元选择算法.该算法采用信道容量与资源占用量为优化对象构建目标函数,通过求解目标函数的最优解得到最优的协作远端射频单元集合.仿真结果显示,文中算法与目前基于信号质量和地理位置的多点协作传输协作基站选择算法相比,提高了多点协作传输系统组播用户的吞吐量,加强了组播用户的服务公平性,减轻了所选协作远端射频单元的负载,使得多点协作传输系统负载更为均衡.In the centralized, collaborative, cloud-based and clean wireless access network(C-RAN), the problem of the selection of the RRUs in cooperating group realizing CoMP for multicast service exists. In this paper, we propose an algorithm for RRU selection based on the signal receiving quality of multicast users and immediate load of RRUs. This algorithm adopts the channel capacity and the occupied resources as the optimal objects to establish the objective functions. And we find the optimal solution of the objective functions to achieve the appropriate cooperating RRU group. Contrasting with the selection algorithm based on signal receiving quality and geographical location, simulations show that the proposed algorithm improves the throughput and service fairness of multicast users in the CoMP system, and meanwhile reduces the load of the selected cooperative RRU and balances the system load.
关 键 词:多点协作传输 协作远端射频单元选择 组播业务 负载状况
分 类 号:TN929.53[电子电信—通信与信息系统]
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