Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware Beamforming
Location-Aware Beamforming (LAB) in Ultra-Dense Networks (UDN) is a breakthrough technology for 5G New Radio (NR) and Beyond 5G (B5G) millimeter wave (mmWave) communication. Directional links with narrow antenna half-power beamwidth (HPBW) and massive multiple-input multiple-output (mMIMO) processin...
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MDPI AG
2023-01-01
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| Online Access: | https://www.mdpi.com/2078-2489/14/1/40 |
| _version_ | 1827624838374621184 |
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| author | Grigoriy Fokin Dmitriy Volgushev |
| author_facet | Grigoriy Fokin Dmitriy Volgushev |
| author_sort | Grigoriy Fokin |
| collection | DOAJ |
| description | Location-Aware Beamforming (LAB) in Ultra-Dense Networks (UDN) is a breakthrough technology for 5G New Radio (NR) and Beyond 5G (B5G) millimeter wave (mmWave) communication. Directional links with narrow antenna half-power beamwidth (HPBW) and massive multiple-input multiple-output (mMIMO) processing systems allows to increase transmitter and receiver gains and thus facilitates to overcome high path loss in mmWave. Well known problem of pencil beamforming (BF) is in construction of precoding vectors at the transmitter and combining vectors at the receiver during directional link establishing and its maintaining. It is complicated by huge antenna array (AA) size and required channel state information (CSI) exchange, which is time consuming for vehicle user equipment (UE). Knowledge of transmitter and receiver location, UE or gNodeB (gNB), could significantly alleviate directional link establishment and space division multiple access (SDMA) implementation. Background of SDMA is in efficient maintenance of affordable level of interference, and the purpose of this research is in signal-to-interference ratio (SIR) evaluation in various 5G UDN scenarios with LAB. The method, used to evaluate SIR, is link level simulation, and results are obtained from publicly released open-source simulator. Contribution of research includes substantiation of allowable UE density, working with LAB. Practical implications include recommendations on terrestrial and angular separation of two UE in 5G UDN scenarios. |
| first_indexed | 2024-03-09T12:16:15Z |
| format | Article |
| id | doaj.art-d17788af3ff240d0866ad4f61ff22e44 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-09T12:16:15Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-d17788af3ff240d0866ad4f61ff22e442023-11-30T22:46:28ZengMDPI AGInformation2078-24892023-01-011414010.3390/info14010040Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware BeamformingGrigoriy Fokin0Dmitriy Volgushev1Software Defined Radio Laboratory, The Bonch-Bruevich Saint Petersburg State University of Telecommunications, 193232 Saint Petersburg, RussiaSoftware Defined Radio Laboratory, The Bonch-Bruevich Saint Petersburg State University of Telecommunications, 193232 Saint Petersburg, RussiaLocation-Aware Beamforming (LAB) in Ultra-Dense Networks (UDN) is a breakthrough technology for 5G New Radio (NR) and Beyond 5G (B5G) millimeter wave (mmWave) communication. Directional links with narrow antenna half-power beamwidth (HPBW) and massive multiple-input multiple-output (mMIMO) processing systems allows to increase transmitter and receiver gains and thus facilitates to overcome high path loss in mmWave. Well known problem of pencil beamforming (BF) is in construction of precoding vectors at the transmitter and combining vectors at the receiver during directional link establishing and its maintaining. It is complicated by huge antenna array (AA) size and required channel state information (CSI) exchange, which is time consuming for vehicle user equipment (UE). Knowledge of transmitter and receiver location, UE or gNodeB (gNB), could significantly alleviate directional link establishment and space division multiple access (SDMA) implementation. Background of SDMA is in efficient maintenance of affordable level of interference, and the purpose of this research is in signal-to-interference ratio (SIR) evaluation in various 5G UDN scenarios with LAB. The method, used to evaluate SIR, is link level simulation, and results are obtained from publicly released open-source simulator. Contribution of research includes substantiation of allowable UE density, working with LAB. Practical implications include recommendations on terrestrial and angular separation of two UE in 5G UDN scenarios.https://www.mdpi.com/2078-2489/14/1/405GUDNwireless communications networkinglocation-aware beamformingpositioninginterference |
| spellingShingle | Grigoriy Fokin Dmitriy Volgushev Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware Beamforming Information 5G UDN wireless communications networking location-aware beamforming positioning interference |
| title | Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware Beamforming |
| title_full | Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware Beamforming |
| title_fullStr | Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware Beamforming |
| title_full_unstemmed | Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware Beamforming |
| title_short | Model for Interference Evaluation in 5G Millimeter-Wave Ultra-Dense Network with Location-Aware Beamforming |
| title_sort | model for interference evaluation in 5g millimeter wave ultra dense network with location aware beamforming |
| topic | 5G UDN wireless communications networking location-aware beamforming positioning interference |
| url | https://www.mdpi.com/2078-2489/14/1/40 |
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