MIMO双向中继GSVD线性预编码的功率优化算法

doi:10.3969/j.issn.1001-2400.2015.05.027

Abstract

Abstract:

In order to optimize the power allocation of the MIMO two-way relay system, we diagonalize the channels between users and relay using the generalized singular value decomposition(GSVD) method, and divide them into two transmission models: one-way relay model and two-way relay model. For the subchannels, a scheme of permutation is proposed to align the data streams at the relay node. Moreover, we propose the method for the power constraint of three nodes under each data stream to maximize the average sum-rate of the system instead of the constraint of each node's total power and get the close-form optimal solution which can reduce the complexity of the algorithm. Finally, simulation results demonstrate that the performance of the scheme we use is very close to that by the global optimization algorithm, and that with the antennas specification from 3-5-3 to 4-6-4 and to 5-7-5, the scheme can bring about approximate 2bit/(s·Hz^-1) increased gain when the SNR is 30dB.

Key words: multiple input and multiple output, two-way relay, diagonalized, generalized singular value decomposition, power optimizing

LIU Sheng'en;XIAO Lin;YANG Dingcheng;TAN Anping. Power allocation under GSVD linear precoding in the MIMO two-way relay network[J].J4, 2015, 42(5): 161-167.

References

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Power allocation under GSVD linear precoding in the MIMO two-way relay network

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