Site-Specific Radio Channel Representation for 5G and 6G

A site-specific radio channel representation (SSCR) takes the surroundings of the communication system into account by considering the environment geometry, including buildings, vegetation, and mobile objects with their material and surface properties. We present methods for an SSCR that is spatially consistent, such that mobile transmitter and receiver cause a correlated time-varying channel impulse response and closely spaced antennas are correctly correlated. An SSCR is composed of a dynamically varying number of multipath components solely defined by the environment geometry and the material of the environmental objects. Hence, the environment geometry is the only natural scenario parameterization and specific calibration procedures shall be avoided. 5G and 6G physical layer technologies are increasingly able to exploit the properties of a wide range of environments from dense urban areas to railways, road transportation, industrial automation, and unmanned aerial vehicles. The channel impulse response in this wide range of scenarios has generally non-stationary statistical properties, i.e., the Doppler spectrum, power delay profile, K-factor and spatial correlation are all spatially variant (or time-variant for mobile receivers). SSCRs will enable research and development of emerging 5G and 6G technologies such as distributed multiple-input multiple-output systems, reconfigurable intelligent surfaces, multi-band communication, and joint communication and sensing. We highlight the state of the art and summarize research directions for future work towards an SSCR.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-11-04
DOI
https://doi.org/10.1109/mcom.001.2400355
Citations
12
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
3.84
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article

Site-Specific Radio Channel Representation for 5G and 6G

Sana Salous, Ruisi He, Jun‐ichi Takada, Thomas Zemen et al.
12 citations
IEEE Communications Magazine
Telecommunications and Broadcasting Technologies
3.84
article

Site-Specific Radio Channel Representation for 5G and 6G

Sana Salous, Ruisi He, Jun‐ichi Takada, Thomas Zemen, David W. Matolak, Aniruddha Chandra, Reinaldo A. Valenzuela, Michael Walter, Andreas F. Molisch, Enes Aksoy, Jorge Gomez‐Ponce, Minseok Kim
article en
12 citations

Abstract

A site-specific radio channel representation (SSCR) takes the surroundings of the communication system into account by considering the environment geometry, including buildings, vegetation, and mobile objects with their material and surface properties. We present methods for an SSCR that is spatially consistent, such that mobile transmitter and receiver cause a correlated time-varying channel impulse response and closely spaced antennas are correctly correlated. An SSCR is composed of a dynamically varying number of multipath components solely defined by the environment geometry and the material of the environmental objects. Hence, the environment geometry is the only natural scenario parameterization and specific calibration procedures shall be avoided. 5G and 6G physical layer technologies are increasingly able to exploit the properties of a wide range of environments from dense urban areas to railways, road transportation, industrial automation, and unmanned aerial vehicles. The channel impulse response in this wide range of scenarios has generally non-stationary statistical properties, i.e., the Doppler spectrum, power delay profile, K-factor and spatial correlation are all spatially variant (or time-variant for mobile receivers). SSCRs will enable research and development of emerging 5G and 6G technologies such as distributed multiple-input multiple-output systems, reconfigurable intelligent surfaces, multi-band communication, and joint communication and sensing. We highlight the state of the art and summarize research directions for future work towards an SSCR.

IEEE Communications MagazineVol. 63(6)
Tokyo Institute of Technology (JP), University of Southern California (US), AIT Austrian Institute of Technology GmbH (AT), University of South Carolina (US), National Institute of Technology Durgapur (IN), Durham University (GB), Beijing Jiaotong University (CN), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Fraunhofer-Gesellschaft (DE), Niigata University (JP), Nokia (United States) (US)
Openalex Percentile: Top 6%
Telecommunications and Broadcasting Technologies
3.84
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