Radio propagation modeling for 5G mobile and wireless communications

Author:

Medbo Jonas1,Kyosti Pekka2,Kusume Katsutoshi3,Raschkowski Leszek4,Haneda Katsuyuki5,Jamsa Tommi6,Nurmela Vuokko7,Roivainen Antti8,Meinila Juha8

Affiliation:

1. Ericsson Research

2. Anite Telecoms and the University of Oulu

3. DoCoMo Euro-Labs

4. Fraunhofer Heinrich Hertz Institute

5. Aalto University

6. Tommi Jamsa Consulting and Huawei Technologies

7. Nokia Bell Labs

8. University of Oulu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications

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1. A Physics-Based and Data-Driven Approach for Localized Statistical Channel Modeling;IEEE Transactions on Wireless Communications;2024-06

2. Rician K Factor Tuning for 5G Channel Emulation in Different Typologies of Reverberation Chambers;2023 International Symposium on Electromagnetic Compatibility – EMC Europe;2023-09-04

3. Data-Driven Spectrum Partition for Multiplexing URLLC and eMBB;IEEE Transactions on Cognitive Communications and Networking;2023-04

4. Impact of Facade Details on Radio Propagation at 28 GHz;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26

5. 5G Frequency Standardization, Technologies, Channel Models, and Network Deployment: Advances, Challenges, and Future Directions;Sustainability;2023-03-14

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