[go: up one dir, main page]

Adeogun et al., 2019 - Google Patents

Polarimetric wireless indoor channel modeling based on propagation graph

Adeogun et al., 2019

View PDF
Document ID
15391165675367824111
Author
Adeogun R
Pedersen T
Gustafson C
Tufvesson F
Publication year
Publication venue
IEEE Transactions on Antennas and Propagation

External Links

Snippet

This paper generalizes a propagation graph model to polarized indoor wireless channels. In the original contribution, the channel is modeled as a propagation graph in which vertices represent transmitters, receivers, and scatterers, while edges represent the propagation …
Continue reading at vbn.aau.dk (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity 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
    • H04B7/0615Diversity 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
    • H04B7/0619Diversity 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
    • H04B7/0621Feedback content
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/391Modelling the propagation channel
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/20Monitoring; Testing of receivers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01QAERIALS
    • H01Q3/00Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system
    • H01Q3/26Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/08Measuring electromagnetic field characteristics
    • G01R29/0807Measuring electromagnetic field characteristics characterised by the application
    • G01R29/0814Field measurements related to measuring influence on or from apparatus, components or humans, e.g. in ESD, EMI, EMC, EMP testing, measuring radiation leakage; detecting presence of micro- or radiowave emitters; dosimetry; testing shielding; measurements related to lightning
    • G01R29/0821Field measurements related to measuring influence on or from apparatus, components or humans, e.g. in ESD, EMI, EMC, EMP testing, measuring radiation leakage; detecting presence of micro- or radiowave emitters; dosimetry; testing shielding; measurements related to lightning rooms and test sites therefor, e.g. anechoic chambers, open field sites or TEM cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/08Measuring electromagnetic field characteristics
    • G01R29/10Radiation diagrams of aerials; Antenna testing in general

Similar Documents

Publication Publication Date Title
Basar et al. Indoor and outdoor physical channel modeling and efficient positioning for reconfigurable intelligent surfaces in mmWave bands
Huang et al. Multi-frequency mmWave massive MIMO channel measurements and characterization for 5G wireless communication systems
Chen et al. Channel measurement and ray-tracing-statistical hybrid modeling for low-terahertz indoor communications
Kyösti et al. On radiated performance evaluation of massive MIMO devices in multiprobe anechoic chamber OTA setups
Fan et al. A step toward 5G in 2020: Low-cost OTA performance evaluation of massive MIMO base stations
Almers et al. Survey of channel and radio propagation models for wireless MIMO systems
Yin et al. Scatterer localization using large-scale antenna arrays based on a spherical wave-front parametric model
Degli-Esposti et al. Ray-tracing-based mm-wave beamforming assessment
Kyösti et al. Channel modelling for multiprobe over‐the‐air MIMO testing
Kammoun et al. A generalized spatial correlation model for 3D MIMO channels based on the Fourier coefficients of power spectrums
Adeogun et al. Polarimetric wireless indoor channel modeling based on propagation graph
Sangodoyin et al. Cluster characterization of 3-D MIMO propagation channel in an urban macrocellular environment
Pessoa et al. A stochastic channel model with dual mobility for 5G massive networks
Kihero et al. Wireless channel and interference
Tsukada et al. Millimeter-wave channel model parameters for various office environments
Wang et al. A novel 3D space-time-frequency non-stationary channel model for 6G THz indoor communication systems
Dorokhin et al. Reconfigurable intelligent surface MIMO simulation using quasi deterministic radio channel model
Wang et al. On efficient non-stationary channel emulation in conductive phase matrix setup for massive MIMO performance testing
Jing et al. Measurement-based 3-D channel modeling with cluster-of-scatterers estimated under spherical-wave assumption
Tataria et al. Spatial correlation variability in multiuser systems
Wang et al. Ray‐based statistical propagation modeling for indoor corridor scenarios at 15 GHz
Molisch A generic model for MIMO wireless propagation channels
Chen Spatial correlation and ergodic capacity of MIMO channel in reverberation chamber
Zhang et al. Effects of wall reflection on the per-antenna power distribution of ZF-precoded ULA for indoor mmWave MU-MIMO transmissions
Adeogun et al. Propagation graph based model for polarized multiantenna wireless channels