机构地区:[1]Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications [2]School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai
出 处:《The Journal of China Universities of Posts and Telecommunications》2013年第4期52-58,72,共8页中国邮电高校学报(英文版)
基 金:supported by the National Basic Research Program of China (2009CB320401);the National Natural Science Foundation of China (61171099);and the National Science and Technology Major Project of China (2012ZX03003-007)
摘 要:Multi-cell processing (MCP) is capable of providing significant performance gain, but this improvement is accompanied by dramatic signaling overhead between cooperative base stations. Therefore, balancing the performance gain and overhead growth is crucial for a practical multi-base cooperation scheme. In this paper, we propose a decentralized algorithm to jointly optimize the power allocation and beamforming vector with the goal of maximizing the system performance under the constraint of limited overhead signal and backhaul link capacity. In particular, combined with calculating the transmission beamforming vector according to the local channel state information, an adaptive power allocation is presented based on the result of sum capacity estimation. Furthermore, by utilizing the concept of cell clustering, the proposed framework can be implemented in a practical cellular system without major modification of network architecture. Simulation results demonstrate that the proposed scheme improves the system performance in terms of the sum capacity and cell-edge capacity.Multi-cell processing (MCP) is capable of providing significant performance gain, but this improvement is accompanied by dramatic signaling overhead between cooperative base stations. Therefore, balancing the performance gain and overhead growth is crucial for a practical multi-base cooperation scheme. In this paper, we propose a decentralized algorithm to jointly optimize the power allocation and beamforming vector with the goal of maximizing the system performance under the constraint of limited overhead signal and backhaul link capacity. In particular, combined with calculating the transmission beamforming vector according to the local channel state information, an adaptive power allocation is presented based on the result of sum capacity estimation. Furthermore, by utilizing the concept of cell clustering, the proposed framework can be implemented in a practical cellular system without major modification of network architecture. Simulation results demonstrate that the proposed scheme improves the system performance in terms of the sum capacity and cell-edge capacity.
关 键 词:MCP co-channel interference adaptive power allocation distributed beamforrning limited capacity backhauling
分 类 号:TN915.0[电子电信—通信与信息系统]
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