Empirical and Statistical Characterisation of 28 GHz mmWave Propagation in Office Environments
arXiv:2604.01814v1 Announce Type: new Abstract: Millimeter wave (mmWave) technology at 28 GHz is vital for beyond-5G systems, but indoor deployment remains challenging due to limited statistical evidence on propagation. This study investigates path loss, material penetration, and coverage enhancement using TMYTEK-based measurements. Statistical tests and confidence interval analysis show that path loss aligns with free-space theory, with an exponent of n = 2.07 plus or minus 0.073 (p = 0.385), confirming the suitability of classical models. Material analysis reveals significant variation: desk dividers introduce 3.4 dB more attenuation than display boards (95 percent CI: 1.81 to 4.98 dB, p less than 0.01), contradicting thickness-based assumptions. Reflector optimisation yields a significa
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Abstract:Millimeter wave (mmWave) technology at 28 GHz is vital for beyond-5G systems, but indoor deployment remains challenging due to limited statistical evidence on propagation. This study investigates path loss, material penetration, and coverage enhancement using TMYTEK-based measurements. Statistical tests and confidence interval analysis show that path loss aligns with free-space theory, with an exponent of n = 2.07 plus or minus 0.073 (p = 0.385), confirming the suitability of classical models. Material analysis reveals significant variation: desk dividers introduce 3.4 dB more attenuation than display boards (95 percent CI: 1.81 to 4.98 dB, p less than 0.01), contradicting thickness-based assumptions. Reflector optimisation yields a significant mean gain of 2.17 plus or minus 2.33 dB (p less than 0.05), enhancing coverage. The results provide new empirical benchmarks and practical design insights for reliable indoor mmWave deployment.
Comments: 6 pages, 3 figures , Paper presented at the IEEE International Conference on Communication Networks and Computing
Subjects:
Signal Processing (eess.SP)
Cite as: arXiv:2604.01814 [eess.SP]
(or arXiv:2604.01814v1 [eess.SP] for this version)
https://doi.org/10.48550/arXiv.2604.01814
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Sokipriala Jonah [view email] [v1] Thu, 2 Apr 2026 09:26:41 UTC (1,072 KB)
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