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

A channel estimation and multi-input 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: 2018-12-21
HUAWEI TECH CO LTD
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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 making and using of various embodiments of the disclosure are discussed in detail below. It should be understood, however, that the concepts disclosed herein can be implemented in a wide variety of specific contexts and that the specific embodiments discussed herein are illustrative only and do not limit the scope of the claims. It should further be 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.

[0056] In a massive multiple-input multiple-output (MIMO) system, a channel estimation method based on compressed sensing (CS) can be used to estimate the channel from the base station (base station, BS) to the user equipment (UE). ) downlink (downlink, DL) channel. This method exploits the sparse nature of massive MIMO channels such that a given massive MIMO channel is represented by a sparse channel estimate (i.e., a vector of coe...

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Abstract

It is possible to reduce the overhead associated with downlink channel estimation in massive Multiple-Input-Multiple-Output (MIMO) networks by processing training sequences according to a transformation matrix. The transformation matrix maps a generic dictionary to a non-generic dictionary associated with an antenna geometry of a MIMO antenna array. The transformation matrix can be computed basedon the two dictionaries. In one embodiment, the training reference signal is precoded to obtain a precoded training reference signal, which is then transmitted over a MIMO antenna array. The trainingprecoder used to precode the training reference signal is designed according to the transformation matrix to mitigate a dependence that the training reference signal transmission has on the antenna geometry.

Description

[0001] This patent application claims U.S. Patent Application No. 15 / 365,541, filed November 30, 2016, entitled "Downlink Channel Estimation System and Method in Massive Multiple-Input Multiple-Output (MIMO)" and filed on March 2016. Priority to U.S. Provisional Application No. 62 / 312,850, entitled "Downlink Channel Estimation System and Method in Massive Multiple-Input Multiple-Output (MIMO)," filed on March 24, the entire contents of which are incorporated by reference included in this application. technical field [0002] The present invention relates generally to the management of resource allocation in networks and, in particular embodiments, to techniques and mechanisms for downlink channel estimation systems and methods in massive multiple-input multiple-output (MIMO). Background technique [0003] In massive multiple-input-multiple-output (MIMO) networks, base stations are usually equipped with relatively more antenna elements than base stations in conventional MIMO ...

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Application Information

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Patent Type & Authority Applications(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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