Satellite and Terrestrial Multi-Connectivity for 5G: Making Spectrum Sharing Possible

This paper reports the first results of the 5G- ALLSTAR project [1] aiming at providing solutions and enablers for spectrum sharing in a 5G cellular and satellite multi-connectivity context. First, we present an exhaustive study of the frequency bands eligible for these systems in the short and medium term. A ray-tracing based and a geometry-based stochastic channel models developed in the project are then described. These models can be used to simulate systems involving terrestrial and non- terrestrial networks. We then describe three different ways investigated in the project for managing interference: signal processing (hardware implementation of a 5G New Radio compatible physical layer), beamforming (steering and switching beams in order to avoid the interference while preserving the spectral efficiency) and radio resource management (tool designed for joint optimization of satellite and terrestrial resource sharing).

[1]  David Tse,et al.  Downlink Interference Alignment , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[2]  Marjorie Thary,et al.  Document Number: H2020-EUK-815323/5G-ALLSTAR/D3.1 Project Name: 5G AgiLe and fLexible integration of SaTellite And cellulaR (5G-ALLSTAR) Deliverable D3.1 Spectrum usage analysis and channel model , 2019 .

[3]  Rostom Zakaria,et al.  Filter-bank OFDM transceivers for 5G and beyond , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

[4]  Syed A. Jafar,et al.  Interference Alignment and the Degrees of Freedom for the 3 User Interference Channel , 2007 .

[5]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[6]  Stefan Parkvall,et al.  5G New Radio: Unveiling the Essentials of the Next Generation Wireless Access Technology , 2018, IEEE Communications Standards Magazine.

[7]  Bo Ai,et al.  Realistic Channel Characterization for 5G Millimeter-Wave Railway Communications , 2018, 2018 IEEE Globecom Workshops (GC Wkshps).

[8]  Thomas Kurner,et al.  Geometry-based path interpolation for rapid ray-optical modeling of vehicular channels , 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).

[9]  Valentin Savin,et al.  Assessment of 5G NR Physical Layer for Future Satellite Networks , 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[10]  Lars Thiele,et al.  A Spatially Consistent Geometric D2D Small-Scale Fading Model for Multiple Frequencies , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).