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| A Coordinated Multiple Point Joint Transmission Beamforming Algorithm Based on Duality Theory |
| He Shi-wen Huang Yong-ming Yang Lu-xi |
| School of Information Science and Engineering, Southeast University, Nanjing 210096, China |
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Abstract A duality relation between the downlink max-min Signal-to-Interference-Noise Ratio (SINR) optimization issue and the virtual uplink min-max SINR optimization issue is revealed by using the Lagrange duality theory for coordinated multiple point joint transmission multiple input single output interference downlink system subject to per-base station power constraints. Based on the duality relation and subgradient theory, a two layer alternating iterative optimization beamforming method is proposed to solve the virtual uplink min-max SINR optimization issue. And the convergence of the proposed algorithm is proven. The complexity of the proposed method is analyzed by using real floating-point operation theory. Numerical simulation verifies the validity of the proposed method.
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Received: 05 January 2012
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Corresponding Authors:
He Shi-wen
E-mail: hesw01@seu.edu.cn
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2012, Vol. 34 
