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Vector-auto-regression-based Bayes compressed sensing feedback method in MIMO system

A Bayesian compression, autoregressive technique used in diversity/multi-antenna systems, spatial transmit diversity, error prevention/detection through diversity reception, etc.

Active Publication Date: 2014-07-16
TONGJI UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

Unfortunately, the error caused by compressed sensing cannot be analyzed by the traditional compressed sensing inverse transform, because the norm is considered as a criterion to find the sparse recovery

Method used

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  • Vector-auto-regression-based Bayes compressed sensing feedback method in MIMO system

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Embodiment

[0069] The Bayesian compressed sensing feedback method based on vector autoregressive in the MIMO system of the present invention specifically comprises the following steps:

[0070] Step 1. Build MIMO channel model

[0071] Step (11) The massive MIMO wireless communication system includes M antennas at the base station and single antennas of K users, assuming that the channel vector of each user is:

[0072] h = α h iid T R Tx 1 2

[0073] Step (12) wherein, Each element in r ij Represents the correlation coefficient between the i-th and j-th antennas in the base station, which can be expressed as:

[0074] r ij = J 0 ( 2 π d ...

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Abstract

The invention relates to a vector-auto-regression-based Bayes compressed sensing feedback method in an MIMO system. The vector-auto-regression-based Bayes compressed sensing feedback method includes the following steps: (1) building an MIMO channel model, (2) building a VAR model to achieve channel prediction, and (3) reducing the feedback speed through Bayes compressed sensing. Compared with the prior art, the vector-auto-regression-based Bayes compressed sensing feedback method has the advantages that the relation between adjacent CSIs is described by introducing the VAR model, space-time compression is introduced to reduce the size range of a channel, and the dimensionality of channel vectors is reduced.

Description

technical field [0001] The invention relates to wireless communication and network, in particular to a Bayesian compressed sensing feedback method based on vector autoregressive in MIMO system. Background technique [0002] In high-speed wireless communication systems, MIMO technology is widely used. In particular, MIMO was created for multiple antennas to achieve spatial diversity through antenna arrays to improve signal quality and capacity. In recent decades, many broadcasting base stations have installed many antennas, so as to ensure that multiple users can receive high-quality services at the same time. The multi-antenna of the base station guarantees the growth of the total downlink rate capacity, which is linearly related to the smallest transmitting antenna and the user. [0003] In this invention, we build a MIMO multi-user system, M transmit antennas are placed at the base station and there are K mobile users with single antenna. Some space division multiplexin...

Claims

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Application Information

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IPC IPC(8): H04L1/06H04B7/04
Inventor 黄新林吴俊陆欣璐钱亦宸李文锋
Owner TONGJI UNIV
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