中文摘要：

力量分配(PA ) 为合作社在能力改进起一个重要作用多重输入多重产量(Co-MIMO ) 系统。许多贡献在和上考虑全部的力量限制(TPC ) 在探讨 PA 从所有节点播送力量问题。在实际实现，各然而播送节点与它的自己的力量放大器被装备并且被单个力量限制(欧洲电脑生产厂商) 限制。在 TPC 下面的这些因此 PA 方法不在实际系统是可实现的。同时，在欧洲电脑生产厂商下面的 PA 问题是必要的，但是它没被学习。这份报纸扩大传统的非合作的充满水的 PA 算法到基于欧洲电脑生产厂商的 Co-MIMO 系统。而且， PA 矩阵从所有合作节点基于复合隧道矩阵被导出到用户。因此，基于欧洲电脑生产厂商的 Co-MIMO 系统的合作获得充分被利用，并且进一步，最大的即时能力被完成。数字模拟验证在一样的欧洲电脑生产厂商条件下面，建议 PA 计划更加以各态历经的能力超过非合作的充满水的 PA 和一致 PA 设计。

英文摘要：

allocation （PA） plays an important role in capacity improvement for cooperative multiple-input multipleoutput （Co-MIMO） systems. Many contributions consider a total power constraint （TPC） on the sum of transmit power from all nodes in addressing PA problem. However, in practical implementations, each transmit node is equipped with its own power amplifier and is limited by individual power constraint （IPC）. Hence these PA methods under TPC are not realizable in practical systems. Meanwhile, the PA problem under IPC is essential, but it has not been studied. This paper extends the traditional non-cooperative water-filling PA algorithm to IPC-based Co-MIMO systems. Moreover, the PA matrix is derived based on the compound channel matrix from all the cooperative nodes to the user. Therefore, the cooperative gain of the IPC-based Co-MIMO systems is fully exploited, and further the maximal instantaneous capacity is achieved. Numerical simulations validate that, under the same IPC conditions, the proposed PA scheme considerably outperforms the non-cooperative water-filling PA and uniform PA design in terms of ergodic capacity.