Beam training method and apparatus

Abstract

The invention discloses a beam training method and apparatus. The method comprises the following steps: a first device receives N groups of training sequences sent by a second device, wherein each group of training sequences in the N groups of training sequences corresponds to a beam combination, and N is a positive integer greater than 0; the first device performs channel estimation according toeach group of training sequences in the N groups of received training sequences, and obtains the channel capacity of each group of training sequences according to the channel estimation result; the first device uses the beam combination corresponding to the target training sequence sent by the second device as an optimal beam combination, wherein the target training sequence belongs to the N groups of training sequences, and the maximum channel capacity is obtained under the target training sequence; and the first device uses the flow number corresponding to the maximum channel capacity as theoptimal flow number.

Description

technical field [0001] The present application relates to the technical field of communications, and in particular to a beam training method and device. Background technique [0002] The high-frequency millimeter-wave transmission process has the characteristics of large free space path loss, strong rain attenuation and strong oxygen absorption, which leads to limited coverage of high-frequency millimeter-wave. In order to improve the coverage of high-frequency millimeter waves, large-scale antenna arrays can be used to form narrow beams to increase antenna gain and compensate for path loss. However, large-scale arrays with narrow beams require beam training before user data transmission to ensure transmission performance, otherwise it may result in weak received signals and low Signal-to-noise ratio (SNR). [0003] The current beam training method generally includes the following steps: Step 1, the transmitting end scans the narrow beam, the receiving end receives the omni...

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Problems solved by technology

[0004] However, the above-mentioned beam training method only calculates the SINR according to the signal power of different beams, so the selected transceiver beam combination may not be able to best adapt to the transmission channel, so that it cannot meet the communication requirements between the receiving end and the transmitting end, making the receiving end Multiple-Input Multiple-Output (MIMO) transmission performance between the sender and the sender is degraded, resulting in lower transmission efficiency between the receiver and the sender

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