A Downlink Time-varying Channel Prediction Method Based on Improved Prony Method

A technology of time-varying channels and prediction methods, applied in transmission monitoring, electrical components, radio transmission systems, etc., to achieve the effect of improving overall performance

Active Publication Date: 2021-02-05
HANGZHOU DIANZI UNIV
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Problems solved by technology

The traditional channel estimation method can only be applied when the CSI of the channel is fixed. For the time-varying channel, the traditional method is no longer applicable.

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  • A Downlink Time-varying Channel Prediction Method Based on Improved Prony Method
  • A Downlink Time-varying Channel Prediction Method Based on Improved Prony Method
  • A Downlink Time-varying Channel Prediction Method Based on Improved Prony Method

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Embodiment Construction

[0046] The specific embodiment of the specific solution of the present invention will be further elaborated in conjunction with the accompanying drawings.

[0047] A downlink time-varying channel prediction method based on improved Prony method, the method is applied in TDD (time division duplex) system, it is characterized in that, described downlink time-varying channel prediction method comprises the following steps:

[0048] S1. Estimate the CSI (channel state information) of the uplink: assuming that the bit error rate of the uplink system is known, the base station obtains the decoded data symbols, and estimates the CSI of the uplink according to the received signal and the decoded data symbols;

[0049] S2. Calculate a Prony coefficient according to the estimated uplink CSI;

[0050] S3. Predict the CSI at the next moment according to the Prony coefficient and design the precoding;

[0051] The base station in the TDD system has M b root antenna, for a single user wit...

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Abstract

The present invention provides a downlink time-varying channel prediction method based on the improved Prony method, which is applied in a time-division duplex system. The downlink time-varying channel prediction method includes the following steps: S1, estimating the CSI of the uplink: assuming an uplink system The bit error rate is known, the base station obtains the decoded data symbols, and estimates the CSI of the uplink according to the received signal and the decoded data symbols; S2, calculates the Prony coefficient according to the estimated uplink CSI; S3, predicts according to the Prony coefficient CSI at the next moment and design precoding; the base station in the TDD system has M b root antenna, for a single user with a single antenna, the number of clusters is L c , each cluster has a main path, and the communication system starts from the uplink. The present invention can be applied to estimating fast time-varying channels, can accurately predict the CSI of the downlink at a future moment, and can greatly improve the overall performance of the communication system.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a downlink time-varying channel prediction method based on an improved Prony method. Background technique [0002] In a massive MIMO system, the base station is equipped with dozens to hundreds of antennas. Thanks to the large-scale antennas at the base station, the channels between different users and the base station are gradually orthogonal. Therefore, only simple signal processing techniques are used, and the system Both the data transfer rate and energy efficiency can be greatly improved. However, this advantage is based on the assumption that the base station can accurately estimate the CSI, so the acquisition of the CSI is very important to the system. If the CSI is unknown, the overall performance of the system will be greatly reduced. [0003] Based on the reciprocity of the channel in the TDD system, the CSI of the downlink and the CSI of the uplink are ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/0456H04B17/309
CPCH04B7/0456H04B17/309
Inventor 王海泉陈跃高丹蓓叶杭黄怡
Owner HANGZHOU DIANZI UNIV
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