[go: up one dir, main page]

Wu et al., 2022 - Google Patents

Joint channel estimation for RIS-assisted wireless communication system

Wu et al., 2022

Document ID
11355655555236481949
Author
Wu J
Li Y
Xin L
Publication year
Publication venue
2022 IEEE Wireless Communications and Networking Conference (WCNC)

External Links

Snippet

The reconfigurable intelligent surface (RIS) is regarded as a promising technology for the future networks, since it has the ability to manipulate the randomly behaving wireless communication environment. However, due to the large number of the passive RIS …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/0848—Joint weighting
    • H04B7/0851—Joint weighting using training sequences or error signal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0634—Antenna weights or vector/matrix coefficients
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0426—Power distribution
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0602—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using antenna switching
    • H04B7/0604—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using antenna switching with predefined switching scheme
    • H04B7/0606—Random or pseudo-random switching scheme
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0204—Channel estimation of multiple channels
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/02—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
    • G01S3/74—Multi-channel systems specially adapted for direction-finding, i.e. having a single aerial system capable of giving simultaneous indications of the directions of different signals

Similar Documents

Publication Publication Date Title
Taha et al. Deep learning for large intelligent surfaces in millimeter wave and massive MIMO systems
Guo et al. Indoor localization by fusing a group of fingerprints based on random forests
Liu et al. ADMM based channel estimation for RISs aided millimeter wave communications
Ma et al. High-resolution channel estimation for frequency-selective mmWave massive MIMO systems
Yuan et al. Deep learning-based hybrid precoding for terahertz massive MIMO communication with beam squint
Chen et al. Non-stationary channel estimation for extremely large-scale MIMO
CN114567525B (en) Channel estimation method and device
Wu et al. Joint channel estimation for RIS-assisted wireless communication system
Du et al. Nested tensor-based integrated sensing and communication in RIS-assisted THz MIMO systems
Hu et al. PRINCE: A pruned AMP integrated deep CNN method for efficient channel estimation of millimeter-wave and terahertz ultra-massive MIMO systems
Cheng et al. Wideband channel estimation for millimeter wave beamspace MIMO
Lu et al. Robust expectation–maximization direction-of-arrival estimation algorithm for wideband source signals
Yang et al. Fast multibeam training for mmwave mimo systems with subconnected hybrid beamforming architecture
Ying et al. Reconfigurable massive MIMO: Precoding design and channel estimation in the electromagnetic domain
Peng et al. Channel estimation for extremely large-scale massive MIMO systems in hybrid-field channel
Jeyakumar et al. Two-stage deep learning-based hybrid precoder design for very large scale massive MIMO systems
Xu et al. Little pilot is needed for channel estimation with integrated super-resolution sensing and communication
Mohebbi et al. Doubly selective channel estimation algorithms for millimeter wave hybrid MIMO systems
CN110212951B (en) A Massive MIMO Channel Estimation Method Based on Butler Matrix
He et al. Joint space-time parameter estimation for underwater communication channels with velocity vector sensor arrays
Lu et al. Low-overhead separate channel estimation for hybrid XL-RIS-aided MIMO systems
Liu et al. Sparse channel estimation for IRS-assisted millimeter wave MIMO OFDM systems
Tamilselvan et al. Frequency domain learning scheme for massive MIMO using deep neural network
Jain et al. PCI-MF: Partial canonical identity and matrix factorization framework for channel estimation in mmWave massive MIMO systems
Du et al. DL-based ISAC via tensor analysis in massive MIMO-OFDM systems with spatial-frequency wideband effects