Optimum iterative water-filling algorithm for cognitive MIMO MAC

Fei WEI; Zhen YANG

doi:1000-436X(2011)11-0133-07

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Optimum iterative water-filling algorithm for cognitive MIMO MAC

Technical Reports | 更新时间：2024-06-05

- Optimum iterative water-filling algorithm for cognitive MIMO MAC
- Journal on Communications Vol. 32, Issue 11, Pages: 133-139(2011)
- 作者机构：
- 作者简介：
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- DOI：1000-436X(2011)11-0133-07
  CLC： TN92
- Online First：2011-11，
  
  Published：25 November 2011
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Fei WEI, Zhen YANG. Optimum iterative water-filling algorithm for cognitive MIMO MAC[J]. Journal on Communications, 2011, 32(11): 133-139.
DOI：

Fei WEI, Zhen YANG. Optimum iterative water-filling algorithm for cognitive MIMO MAC[J]. Journal on Communications, 2011, 32(11): 133-139. DOI： 1000-436X(2011)11-0133-07.

摘要

研究发送功率以及干扰温度约束下的认知多入多出多址接入信道（MIMO MAC）的速率和最大化问题。通过部分对偶分解技术松弛干扰温度约束，原始问题被分解为较易处理的子问题，并提出一种迭代算法，通过交替进行对偶变量更新与迭代注水运算求解使得速率和最大的最优发送协方差矩阵。最后通过仿真表明算法的有效性。

Abstract

The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint

the original problem was decomposed into more tractable subproblems.An iterative algorithm

in which the dual variable update and the iterative water-filling computation were performed alternately

was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally

simulation results have been presented to verify the effectiveness of the algorithm.

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references

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