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System and method for downlink channel estimation in massive multiple-input multiple-output (mimo)

A multi-input, multi-output technology, applied in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc., can solve problems such as the influence of channel geometry settings

Active Publication Date: 2021-01-29
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Specifically, one challenge associated with massive MIMO is that channel estimation can be affected by the geometrical setup of the antenna elements in a massive MIMO base station

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  • System and method for downlink channel estimation in massive multiple-input multiple-output (mimo)
  • System and method for downlink channel estimation in massive multiple-input multiple-output (mimo)
  • System and method for downlink channel estimation in massive multiple-input multiple-output (mimo)

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Embodiment Construction

[0055]The formation and use of various embodiments of the present disclosure are discussed in detail below. However, it should be understood that the concepts disclosed herein can be implemented in a variety of specific backgrounds, and the specific embodiments discussed herein are merely illustrative and not intended to limit the scope of the claims. It should be further understood that various changes, substitutions and modifications can be made herein without departing from the spirit and scope of the present disclosure as defined by the appended claims herein.

[0056]In a large-scale multi-input multiple-output (MIMO) system, a channel estimation method based on compressed sensing (compressed sensing, CS) can be used to estimate the distance from a base station (BS) to a user equipment (UE). ) Downlink (DL) channel. This method takes advantage of the sparse nature of the massive MIMO channel, which allows a given massive MIMO channel to be represented by a sparse channel estimate ...

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Abstract

By processing the training sequence according to the transformation matrix, the overhead associated with downlink channel estimation in massive multiple-input multiple-output (MIMO) networks can be reduced. The transformation matrix maps a generic dictionary to a non-generic dictionary associated with the antenna geometry of the MIMO antenna array. The transformation matrix can be calculated based on these two dictionaries. In an embodiment, the training reference signal is precoded to obtain a precoded training reference signal, and then the precoded training reference signal is sent through a MIMO antenna array. A training precoder for precoding the training reference signal is designed according to the transformation matrix to alleviate the dependence of the training reference signal transmission on the antenna geometry.

Description

[0001]This patent application requires a U.S. patent application filed on November 30, 2016 with the application number 15 / 365,541, titled "Massive Multiple Input Multiple Output (MIMO) Downlink Channel Estimation System and Method", and the Priority of the U.S. provisional application with the application number 62 / 312,850 and titled "Downlink Channel Estimation System and Method in Massive Multiple Input Multiple Output (MIMO)" filed on 24th, the entire content of the application is incorporated by reference Included in this application.Technical field[0002]The present invention generally relates to the management of resource allocation in a network, and, in a specific embodiment, relates to techniques and mechanisms used in a downlink channel estimation system and method in massive multiple input multiple output (MIMO).Background technique[0003]In a large-scale multiple-input-multiple-output (MIMO) network, compared with base stations in conventional MIMO networks, base stations ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/08
CPCH04B7/0469H04B7/0626
Inventor 张忠坚朱佩英马江镭罗伯特·温德尔·希斯·JR
Owner HUAWEI TECH CO LTD
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