中文摘要：

(MCP ) 多房间处理能够提供重要性能获得，但是这改进被在合作基础车站之间的戏剧的发信号的开销伴随。因此，平衡表演获得和架空的生长为一个实际多底合作计划是关键的。在这份报纸，我们建议一个分散的算法联合旨在在有限架空的信号和 backhaul 连接能力的限制下面最大化系统性能优化力量分配和 beamforming 向量。特别地，与根据本地隧道状态信息计算传播 beamforming 向量结合了，适应力量分配基于和能力的结果被介绍评价。由利用房间聚类的概念，没有网络建筑学的主要修正，而且，建议框架能在一个实际细胞的系统被实现。模拟结果证明建议计划以和能力和房间边能力改进系统表演。

英文摘要：

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.