Channel information feedback method, communication device and storage medium
A technology of channel information feedback and channel state information, which is applied in the field of communication and can solve problems such as codeword incompatibility
Pending Publication Date: 2021-12-17
HUAWEI TECH CO LTD
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[0004] However, in the above codebook-based channel information feedback method, when the UE quantizes the channel matrix of the measured and estimated downlink channel to codewords in the codebook for representation, there will inevitably be quantization errors, and the determined codewords Cannot exactly match the downlink channel
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[0102] Massive MIMO is a key technology for improving system capacity and spectrum utilization in 5G NR. It can greatly improve the spectral efficiency by configuring a large number of antennas in the base station. For example, as the number of antennas increases, the channels between multiple users tend to be orthogonal, allowing multiple users within the coverage of the base station to communicate with the base station simultaneously on the same time-frequency resource using the spatial freedom provided by massive MIMO , to improve the multiplexing capability of spectrum resources among multiple users, thereby greatly improving spectrum efficiency without increasing base station density and bandwidth.
[0103]In a communication system based on Massive MIMO, a base station may use beamforming to enhance a signal that needs to be sent to a terminal (eg, user equipment (user equipment, UE)), so as to improve signal quality. For example, the base station can modulate the signal...
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The invention discloses a channel information feedback method, a communication device and a storage medium, and relates to the field of communication. In the application, a network device can send a channel state information reference signal (CSI-RS) to a terminal through a downlink channel. A terminal can measure and estimate a channel matrix of a downlink channel according to a received CSI-RS, determine channel negotiation information CNI corresponding to the downlink channel through a first neural network according to the channel matrix of the downlink channel, and send the CNI corresponding to the downlink channel to a network device. The network device can determine a modulation and coding strategy (MCS) corresponding to the downlink channel according to the received CNI corresponding to the downlink channel. The parameters of the first neural network are related to the historical MCS. According to the method and the device, the quantization error when the terminal quantizes the channel matrix can be reduced, and the accuracy of channel information feedback can be effectively improved. In addition, the information entropy of the CNI corresponding to the downlink channel determined by the terminal through the first neural network is small, and the efficiency of channel information feedback can be improved.
Description
technical field [0001] The embodiments of the present application relate to the communication field, and in particular, to a channel information feedback method, a communication device, and a storage medium. Background technique [0002] Massive Multiple-Input Multiple-Output (Massive MIMO) is a key technology for improving system capacity and spectrum utilization in fifth-generation mobile communication technology (fifth-generation, 5G) New Radio (New Radio, NR). In a communication system based on Massive MIMO, a base station may use beamforming to enhance a signal to be sent to a user equipment (User Equipment, UE), so as to improve signal quality. For example, the base station may obtain channel information of a downlink channel, and determine an optimal beam and a corresponding modulation and coding scheme (Modulation and Coding Scheme, MCS) according to the channel information of the downlink channel. [0003] However, in a Frequency-Division Duplex (FDD) communication...
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Login to View More IPC IPC(8): H04B7/0456H04B7/06H04L1/16H04L1/18
CPCH04B7/0456H04B7/0626H04B7/0632H04L1/16H04L1/1816
Inventor 胡斌张公正徐晨王坚郭凯洋李榕
Owner HUAWEI TECH CO LTD