| 多天线系统中的二次注水功率分配 |
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| 作者单位： | School of Electronics and Information Engineering, Xi＇an Jiaotong University, Xi＇an 710049, China |
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| 基金项目： | This work was supported by the National Natural Science Foundation of China under Grant 60372055, and the National High Technology Research and Development program of China under Grant 2006AA01Z262. |
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| 摘 要： | Aiming at the problem of resource allocation in multiuser multi-input multi-output （MIMO） systems, a new power allocation algorithm based on dual waterfilling is proposed. Block diagonalization is adopted to cancel the inter-user interference, and then the complete diagonalization method is employed to derive the spatial sub-channels for each user. The overall power of the system is divided among users based on each user＇s large scale fading; then the power of each user is further allocated to its spatial sub-channels based on the small scale fading. Simulation results show that compared with the existing resource allocation strategies, the proposed algorithm can provide more ergodic capacity for multi-user MIMO systems. When the total transmit power is 100w, it has 15% capacity advantage over the traditional waterfilling method.
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| 关 键 词： | MIMO 通信 运算法则 数学 |
| 收稿时间： | 2011-07-15; |
Dual Waterfilling Power Allocation Algorithm in MIMO Systems |
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| Authors: | Rong Mei Zhu Shihua Li Feng |
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| Affiliation: | School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China |
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| Abstract: | Aiming at the problem of resource allocation in multiuser multi-input multi-output (MIMO) systems, a new power allocation algorithm based on dual waterfilling is proposed. Block diagonalization is adopted to cancel the inter-user interference, and then the complete diagonalization method is employed to derive the spatial sub-channels for each user. The overall power of the system is divided among users based on each user’s large scale fading; then the power of each user is further allocated to its spatial sub-channels based on the small scale fading. Simulation results show that compared with the existing resource allocation strategies, the proposed algorithm can provide more ergodic capacity for multi-user MIMO systems.When the total transmit power is 100w, it has 15% capacity advantage over the traditional waterfilling method. |
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| Keywords: | waterfilling resource allocation ergodic capacity |
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