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A data processing method and related device and system

A data processing and data technology, applied in the field of communication, can solve the problem of high cost

Active Publication Date: 2020-03-31
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a data processing method and related devices and systems, which are used to solve the problem of high cost caused by the need to upgrade the BBU and RRU when introducing massive MIMO technology under the traditional communication architecture

Method used

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  • A data processing method and related device and system
  • A data processing method and related device and system
  • A data processing method and related device and system

Examples

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Embodiment 1

[0100] Take the Long Term Evolution Physical Uplink Shared Channel (English full name: Long Terms Evolution PhysicalUplink Shared Channel, abbreviation: LTE PUSCH) as an example, assuming that the number of uplink receiving antennas is 64, a single user sends data of one layer, and the baseband adopts the minimum mean square error (full name in English: Minimum Mean Square Error, abbreviation: MMSE) detects, with this example the implementation process of the present invention is illustrated:

[0101] Perform discrete Fourier transform (English full name: DiscreteFourier Transform, abbreviation: DFT) on the baseband signal input by the remote radio module, and transform it into the frequency domain; and deframe it according to the user's scheduling information, and obtain the received data in the frequency domain. is Y, the size of matrix Y is: 64x1; measure the interference covariance matrix on each subcarrier, and perform channel estimation on each layer on each subcarrier, a...

Embodiment 2

[0104] Let’s take LTE PUSCH as an example, assuming that the number of uplink receiving antennas is 64, and a single user sends 4 layers of data, the 4 layers of data occupy the same bandwidth, and the 4 layers use MMSE joint detection, this example illustrates the implementation process of the present invention :

[0105] Perform DFT on the baseband signal input by the remote radio module, and transform it into the frequency domain; and deframe it according to the user's scheduling information, and obtain the received data in the frequency domain of the user, expressed as Y, and the size of the matrix Y is: 64x1; for each sub The interference covariance matrix on the carrier is measured, and the channel estimation is performed on each layer on each subcarrier, and the results are denoted as R uu and H, where the matrix R uu The size of the matrix H on a single subcarrier is 64x64; the size of the matrix H is 64x4; the R uu Decomposed into the following form: R uu =LL H , ...

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Abstract

The embodiment of the invention discloses a data processing method to solve the problem of high cost caused by BBU and RRU updating under a conventional communication configuration when large-scale MIMI technology is introduced. The data processing method is applied to a communication system. The communication system comprises a data compression unit, a base-band processing unit (BBU) and a radio remote unit (RRU). The method includes the steps of the data compression unit obtaining a target matrix which is a matrix obtained from RRU by the data compression unit, the data compression unit decomposing the target matrix to obtain target data, and the data compression unit sending the target data to the BBU.

Description

technical field [0001] The present invention relates to the communication field, in particular to a data processing method and related devices and systems. Background technique [0002] At present, theoretical research on massive multiple-input multiple-output (English full name: Multiple Input Multiple Output, abbreviation: MIMO) is increasingly mature. As one of the key uplink technologies of the communication system, massive MIMO technology obtains gains such as combining, interference suppression, and diversity through large-scale antenna coordination, improves the uplink throughput of the cell, and meets the ever-increasing user communication needs. Massive MIMO can be roughly divided into two types: centralized and distributed. Among them, the distance between the antennas in the centralized massive MIMO system is relatively close, and the correlation between the antenna received signals is strong. In the distributed system, the distance between the antennas is relativ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/0413
CPCH04B7/0413
Inventor 杨宁姜娜
Owner HUAWEI TECH CO LTD