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Frequency division duplex downlink transmission method based on Bayesian neural network channel prediction

A neural network and frequency division duplexing technology, applied in the field of information and communication, to achieve the effect of making up for the intractable uncertainty, high prediction accuracy and adaptability, and improving the lack of ability

Active Publication Date: 2021-02-02
NANJING UNIV
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Problems solved by technology

[0006] In order to solve the problems and bottlenecks encountered in the downlink transmission scheme and channel prediction technology of the existing frequency division duplex large-scale MIMO system, the present invention provides a frequency division dual A downlink transmission method to further improve the downlink transmission rate of a large-scale MIMO system with limited bandwidth resources

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  • Frequency division duplex downlink transmission method based on Bayesian neural network channel prediction
  • Frequency division duplex downlink transmission method based on Bayesian neural network channel prediction
  • Frequency division duplex downlink transmission method based on Bayesian neural network channel prediction

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Embodiment Construction

[0020] The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0021] In order to point out the principle and feasibility of the frequency division duplex downlink transmission scheme and Bayesian neural network channel prediction proposed by the present invention, it is first necessary to give a necessary system model. This embodiment adopts a single-cell frequency-division duplex large-scale MIMO system, the base station is equipped with M antennas, and serves K single-antenna users. The channel noise obeys additive white Gaussian noise, and its mean value is 0, and its variance is 1. P for downlink transmission power d express. In order to facilitate calculation and comparison of downlink transmission rates, this embodiment adopts a block fading channel model, multi-carrier Orthogonal Frequency Division Multiplexing (OFDM) technology and anal...

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Abstract

The invention discloses a frequency division duplex downlink transmission method based on Bayesian neural network channel prediction. The method comprises the following steps: (1) storing a pluralityof pieces of past channel state information as training data by a base station, and training a Bayesian neural network with initialized parameters by utilizing the training data; (2) in the downlink transmission process, the base station predicting the channel state information of the next transmission time slot by using the trained Bayesian neural network; at the next transmission time slot, thebase station using the predicted channel state information for precoding and transmission of data to be sent in an uplink feedback waiting stage; (3) the base station obtaining estimated channel stateinformation through the fed back information, and sending downlink data in a transmission stage by utilizing the estimated channel state information; and meanwhile, the base station continuously predicting the channel state information of the next transmission time slot through the Bayesian neural network. According to the invention, the downlink transmission rate of the large-scale MIMO system can be further improved.

Description

technical field [0001] The invention relates to an information communication technology, in particular to a downlink data transmission method of a Massive Multiple-Input Multiple-Output (FDD) system. Background technique [0002] Massive MIMO systems can significantly improve the spectrum efficiency and energy efficiency of communication networks through simple linear precoding and decoding techniques (such as maximum ratio transmission / combining and zero-forcing techniques). In addition, massive multiple-input multiple-output technology can eliminate small-scale fading of wireless channels, simplify signal processing and provide effective power control. It has been regarded as one of the key technologies of the next generation mobile communication network. [0003] In order to fully obtain the gain effect of large-scale MIMO technology, whether the communication system adopts time-division-duplex (TDD) mode or frequency-division-duplex (FDD) mode, the base station must Acc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02G06N3/04G06N3/08G06N7/00
CPCH04L25/0254G06N3/08G06N7/01G06N3/045
Inventor 王少尉陶志毫
Owner NANJING UNIV
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