Meta Distribution of Passive Electromagnetic Field Exposure in Cellular Networks
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912084553367552 |
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| author | Gontier, Quentin Wiame, Charles Horlin, François Tsigros, Christo Oestges, Claude De Doncker, Philippe |
| author_facet | Gontier, Quentin Wiame, Charles Horlin, François Tsigros, Christo Oestges, Claude De Doncker, Philippe |
| contents | This paper focuses on the meta distribution of electromagnetic field exposure (EMFE) experienced by a passive user in a cellular network implementing dynamic beamforming. The meta distribution serves as a valuable tool for extracting fine-grained insights into statistics of individual passive user EMFE across the network. A comprehensive stochastic geometry framework is established for this analysis. Given the pivotal role of accurately modeling the main and side lobes of antennas in this context, a multi-cosine gain model is introduced. The meta distribution is closely approximated by a beta distribution derived from its first- and second-order moments, which is demonstrated to be mathematically tractable. The impact of the number of antennas in the ULA on the meta distribution is explored, shedding light on its sensitivity to this parameter. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_12757 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Meta Distribution of Passive Electromagnetic Field Exposure in Cellular Networks Gontier, Quentin Wiame, Charles Horlin, François Tsigros, Christo Oestges, Claude De Doncker, Philippe Information Theory Networking and Internet Architecture This paper focuses on the meta distribution of electromagnetic field exposure (EMFE) experienced by a passive user in a cellular network implementing dynamic beamforming. The meta distribution serves as a valuable tool for extracting fine-grained insights into statistics of individual passive user EMFE across the network. A comprehensive stochastic geometry framework is established for this analysis. Given the pivotal role of accurately modeling the main and side lobes of antennas in this context, a multi-cosine gain model is introduced. The meta distribution is closely approximated by a beta distribution derived from its first- and second-order moments, which is demonstrated to be mathematically tractable. The impact of the number of antennas in the ULA on the meta distribution is explored, shedding light on its sensitivity to this parameter. |
| title | Meta Distribution of Passive Electromagnetic Field Exposure in Cellular Networks |
| topic | Information Theory Networking and Internet Architecture |
| url | https://arxiv.org/abs/2404.12757 |