Beamforming weight training method and base station and terminal

A beamforming and training method technology, applied in the field of terminal, beamforming weight training method and base station, can solve problems such as unreasonable number of iterations, and achieve the effect of improving training efficiency

Inactive Publication Date: 2015-06-24
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no good solution in the existing technology, so it may cause an unreasonable number of iterations

Method used

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  • Beamforming weight training method and base station and terminal
  • Beamforming weight training method and base station and terminal
  • Beamforming weight training method and base station and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] This embodiment provides a beamforming weight training method, including the following operations: the base station sends N types of beam pilot signals to the terminal, where N is a positive integer, and the UE selects one or more types of received beam pilot signals Beam pilot, and feed back the corresponding beam information to the base station. The base station sends training information to the terminal according to the beam information fed back by the UE.

[0089] Specifically, the terminal feeds back beam position information or indexes corresponding to one or more types of beam pilot signals received to the base station, and the base station determines a training transmission signal according to the beam information fed back by the UE, and sends the training signal to the terminal.

[0090] The base station sends different beam information to the terminal on the subcarriers, and the terminal feeds back the received subcarrier information or indexes of one or more ...

example 1-1

[0104] The base station and the terminal complete the beam selection before training through the following steps.

[0105](1) The base station selects a precoding vector in sequence within M agreed time-frequency resources, where M is a positive integer, and sends signals to the terminal, and each symbol is bound to a precoding vector index.

[0106] (2) The terminal chooses to receive the signal sent by the base station in the M agreed time-frequency resources, and calculates the channel quality information of the corresponding received signal, such as received power, which can also be the received signal-to-noise ratio, received signal-to-interference-noise ratio, and received signal-to-noise ratio. load-to-interference-to-noise ratio, etc. Among them, the channel quality information corresponding to the i-th time slot is CQI i , i=1,...,M.

[0107] (3) The terminal feeds back m CQIs i The corresponding beam index is fed back to the base station, and m is a positive integ...

example 1-2

[0126] The base station and the terminal can also complete beam selection before training through the following steps.

[0127] (1) The base station selects a precoding vector in sequence within M subcarriers, where M is a positive integer, and sends signals to the terminal, and each symbol is bound to a precoding vector index.

[0128] (2) The terminal chooses to receive the signal sent by the base station in M ​​subcarriers, and calculates the channel quality information of the corresponding received signal, such as received power, or received signal-to-noise ratio, received signal-to-interference-to-noise ratio, and received carrier-to-interference-to-noise ratio Wait. Among them, the channel quality information corresponding to the i-th time slot is CQI i , i=1,...,M.

[0129] The M subcarriers may also be M ODFM symbols, or pilot positions, etc.;

[0130] (3) The terminal feeds back m CQIs i The corresponding beam index is fed back to the base station, and m is a posi...

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Abstract

A beamforming weight training method, a base station and a terminal, relating to the field of communications. Disclosed is a beamforming weight training method. The method comprises: a base station sending an N-type beam pilot signal to a terminal; the terminal selecting one or more types of beam pilots in the received beam pilot signal, and feeding back beam information corresponding to the selected beam pilots to the base station; and the base station determining an initial training signal vector according to the beam information fed back by the terminal, and sending a channel vector to the terminal to perform beam weight training, N being a positive integer. Also disclosed are another beamforming weight training method, a base station, and a terminal. The technical solutions of the present application improve the efficiency of beamforming weight training.

Description

technical field [0001] The present invention relates to the communication field, in particular to a beamforming weight training method, a base station, and a terminal. Background technique [0002] In a wireless communication system, the sending end and the receiving end use multiple antennas to obtain a higher rate by means of spatial multiplexing. Compared with the general spatial multiplexing method, a widely used technique is that the receiving end feeds back channel information to the sending end, and the sending end uses some transmit precoding techniques according to the obtained channel information to greatly improve the transmission performance. For single-user MIMO, channel feature vector information is directly used for precoding; for multi-user MIMO, more accurate channel information is required. [0003] In some 4G technologies such as LTE and 802.16m standard specifications, the feedback of channel information mainly uses a relatively simple single codebook fe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/04
CPCH04B7/0408H04B7/0617H04B7/0452H04B7/0417
Inventor 赵晶陈艺戬鲁照华郁光辉肖华华王瑜新
Owner ZTE CORP
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