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Eigenvalue-based memoryless MIMO channel decomposition

Qiu Dong dong, Jin Hua song, Sun Jiang, Yuhua Ma

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Abstract

MIMO (multiple-input-multiple-output) is a technique in which the signal is transmitted through the actual channels. In order to further understand MIMO communication, this paper has conducted MIMO channel decomposition in theory. First, we introduce the actual MIMO channel model and detection model. Then, we decompose the actual MIMO channel into virtual parallel multiple single-input-single-output channels based on eigenvalues. After decomposition, the physical meaning of a virtual channel and mathematical distribution model of the transmit signal are finally given.

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What this paper is about

MIMO (multiple-input-multiple-output) is a technique in which the signal is transmitted through the actual channels. In order to further understand MIMO communication, this paper has conducted MIMO channel decomposition in theory. First, we introduce the actual MIMO channel model and detection model. Then, we decompose the actual MIMO channel into virtual parallel multiple single-input-single-output channels based on eigenvalues. After decomposition, the physical meaning of a virtual channel and mathematical distribution model of the transmit signal are finally given.

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Available abstract

MIMO (multiple-input-multiple-output) is a technique in which the signal is transmitted through the actual channels. In order to further understand MIMO communication, this paper has conducted MIMO channel decomposition in theory. First, we introduce the actual MIMO channel model and detection model. Then, we decompose the actual MIMO channel into virtual parallel multiple single-input-single-output channels based on eigenvalues. After decomposition, the physical meaning of a virtual channel and mathematical distribution model of the transmit signal are finally given.

Key concepts: MIMO, Channel (broadcasting), 3G MIMO, Computer science, Multi-user MIMO, Precoding, Channel capacity, Decomposition

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