中国邮电高校学报(英文) ›› 2011, Vol. 18 ›› Issue (5): 1-6.doi: 10.1016/S1005-8885(10)60095-7

• Wireless •    下一篇

Power allocation in cooperative MIMO systems under individual power constraints

杨姗1,崔琪楣2,徐月巧3,罗元1   

  1. 1. 北京邮电大学
    2. 北京邮电大学 新技术研究中心
    3. 北京邮电大学泛网无线通信教育部重点实验室无线新技术研究所
  • 收稿日期:2011-01-04 修回日期:2011-06-01 出版日期:2011-10-31 发布日期:2011-10-13
  • 通讯作者: 杨姗 E-mail:yangshan120@gmail.com
  • 基金资助:

    This work was supported by the International Scientific and Technological Cooperation Program (S2010GR0902), the National Natural Science Foundation of China (61001119, 61027003).

Power allocation in cooperative MIMO systems under individual power constraints

  • Received:2011-01-04 Revised:2011-06-01 Online:2011-10-31 Published:2011-10-13
  • Supported by:

    This work was supported by the International Scientific and Technological Cooperation Program (S2010GR0902), the National Natural Science Foundation of China (61001119, 61027003).

摘要:

Power allocation (PA) plays an important role in capacity improvement for cooperative multiple-input multiple- output (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.

关键词:

power allocation, cooperative MIMO, individual power constraint, ergodic capacity

Abstract:

Power allocation (PA) plays an important role in capacity improvement for cooperative multiple-input multiple- output (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.

Key words:

power allocation, cooperative MIMO, individual power constraint, ergodic capacity