Towards Bridging the Gap between Near and Far-Field Characterizations of the Wireless Channel
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866909133333069824 |
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| author | Agrawal, Navneet Tohidi, Ehsan Cavalcante, Renato L. G. Stańczak, Sławomir |
| author_facet | Agrawal, Navneet Tohidi, Ehsan Cavalcante, Renato L. G. Stańczak, Sławomir |
| contents | The "near-field" propagation modeling of wireless channels is necessary to support sixth-generation (6G) technologies, such as intelligent reflecting surface (IRS), that are enabled by large aperture antennas and higher frequency carriers. As the conventional far-field model proves inadequate in this context, there is a pressing need to explore and bridge the gap between near and far-field propagation models. Although far-field models are simple and provide computationally efficient solutions for many practical applications, near-field models provide the most accurate representation of wireless channels. This paper builds upon the foundations of electromagnetic wave propagation theory to derive near and far-field models as approximations of the Green's function (Maxwell's equations). We characterize the near and far-field models both theoretically and with the help of simulations in a line-of-sight (LOS)-only scenario. In particular, for two key applications in multiantenna systems, namely, beamforming and multiple-access, we showcase the advantages of using the near-field model over the far-field, and present a novel scheduling scheme for multiple-access in the near-field regime. Our findings offer insights into the challenge of incorporating near-field models in practical wireless systems, fostering enhanced performance in future communication technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_16755 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Bridging the Gap between Near and Far-Field Characterizations of the Wireless Channel Agrawal, Navneet Tohidi, Ehsan Cavalcante, Renato L. G. Stańczak, Sławomir Information Theory Signal Processing The "near-field" propagation modeling of wireless channels is necessary to support sixth-generation (6G) technologies, such as intelligent reflecting surface (IRS), that are enabled by large aperture antennas and higher frequency carriers. As the conventional far-field model proves inadequate in this context, there is a pressing need to explore and bridge the gap between near and far-field propagation models. Although far-field models are simple and provide computationally efficient solutions for many practical applications, near-field models provide the most accurate representation of wireless channels. This paper builds upon the foundations of electromagnetic wave propagation theory to derive near and far-field models as approximations of the Green's function (Maxwell's equations). We characterize the near and far-field models both theoretically and with the help of simulations in a line-of-sight (LOS)-only scenario. In particular, for two key applications in multiantenna systems, namely, beamforming and multiple-access, we showcase the advantages of using the near-field model over the far-field, and present a novel scheduling scheme for multiple-access in the near-field regime. Our findings offer insights into the challenge of incorporating near-field models in practical wireless systems, fostering enhanced performance in future communication technologies. |
| title | Towards Bridging the Gap between Near and Far-Field Characterizations of the Wireless Channel |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2402.16755 |