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Channel Estimation Method for Large-Scale Antennas Based on Millimeter Wave Intelligent Reflector Communication

A large-scale antenna and channel estimation technology, applied in the direction of reducing energy consumption, baseband system, baseband system components, etc., can solve the problems of large number of antennas, unbearable complexity of channel estimation, and no consideration of mmWave MIMO channel model, etc. Achieve good solution efficiency and speed up convergence

Active Publication Date: 2022-04-22
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0005] In the prior art, due to the large number of antennas, the channel estimation complexity is unbearable, and the traditional multi-antenna Multiple Input Multiple Output (MIMO) channel estimation method may not be directly applicable to millimeter-wave MIMO systems
Therefore, although there are a large number of algorithms currently used for channel estimation under the millimeter-wave MIMO channel model, the millimeter-wave MIMO channel model under the introduction of Intelligent Reflecting Surface (IRS) is not considered, which cannot meet the needs of the development of realistic communication technologies

Method used

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  • Channel Estimation Method for Large-Scale Antennas Based on Millimeter Wave Intelligent Reflector Communication
  • Channel Estimation Method for Large-Scale Antennas Based on Millimeter Wave Intelligent Reflector Communication
  • Channel Estimation Method for Large-Scale Antennas Based on Millimeter Wave Intelligent Reflector Communication

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Embodiment

[0098] Such as figure 1 As shown, this embodiment discloses a method for estimating a millimeter-wave MIMO channel based on a hybrid multi-objective evolutionary algorithm based on an intelligent reflective surface, and the steps are as follows:

[0099] S1. Construct a communication scene with dense interference. The line-of-sight communication between the base station and the user is blocked and interrupted. Reflective surfaces are deployed in this scene to help improve communication coverage; first, collect the beamforming vector used by the base station to send signals to The reflective surface, users receive signals from the reflective surface at different times, forming two relay channel connections.

[0100] S2. According to the channel in the above scenario, it can be found that the channel is a series structure, and its estimation is quite difficult; therefore, using the Kronecker product, the IRS-enhanced mm-wave MIMO communication channel model is converted into a s...

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Abstract

The invention discloses a large-scale antenna channel estimation method based on millimeter-wave intelligent reflector communication. The steps of the method are as follows: collecting beamforming vectors adopted by base stations; collecting signals received by users at different times; The model is transformed into a sparse recovery problem; mutation operation and crossover operation are performed on the channel model; CS reconstruction is performed by using LB-based local search algorithm; selection operation is performed and the final decision is made. The effect of the present invention is to use IRS technology to enhance the coverage of the millimeter-wave MIMO communication system, and to use compressed sensing and a hybrid multi-objective evolutionary algorithm to solve the reconstruction problem of compressed sensing so as to improve the channel of the millimeter-wave MIMO communication system based on intelligent reflective surface technology Estimated accuracy.

Description

technical field [0001] The invention relates to the technical fields of reflective surface enhanced communication and compressed sensing, in particular to an intelligent reflective surface enhanced millimeter wave MIMO channel estimation method based on a hybrid multi-objective evolutionary algorithm. Background technique [0002] With the growth of 5G users, how to improve the system capacity and transmission rate of 5G communication technology is still the main challenge at present, and further increasing the number of antennas is still an important direction for the evolution of MIMO technology. MIMO technology means that the capacity and spectrum utilization of the communication system can be doubled without increasing the bandwidth. It can be defined as there are multiple independent channels between the transmitting end and the receiving end, that is to say, there is a sufficient interval between the antenna elements, therefore, the correlation between the signals betw...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02
CPCH04B7/0413H04B17/391H04L25/0242H04L25/0256Y02D30/70
Inventor 唐杰陈真章秀银霍万良唐珩膑
Owner SOUTH CHINA UNIV OF TECH
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