Abstract
The use of long-term (slow variations) for modelling radio propagation behavior in indoor scenarios limits the validity of such models, as most of the environments induced fast variations overlapped with the slow ones. Real world data gathered at different locations in two bands within Fifth Generation FR1 spectrum, 3 GHz and 5 GHz, provide insight on the effect of such fast variations and on the distribution models that would be useful to complement the long term analysis with short term behavior in order to improve the design of such 5G microwave networks. Comparisons among short term performance taking into account both the frequency, the visibility conditions and the environment size, shape and furnishing are presented with the focus on modelling as accurate as possible the narrowband channel. The use of ΔBIC (describing the difference between Bayesian Information Criteria indexes of each fitting) complements and confirms the insight provided by direct inspection on traditional fitting plots. This parameter could be interesting for future network deployments.
Highlights
The radio channel governs the performance of any wireless system deployed on it.this occurs, for all new proposals regarding the fifth generation (5G) of cellular mobile communications and all its related applications: Internet of Things, augmented reality, smart cities, smart houses, etc. [1]
Slow variations are defined by the exponent of the path loss model, and once data is available for analyzing the narrowband behavior, and among other effects, their these large-scale effects are removed from the results at the different environments, the fast variations
Slow variations are defined by the exponent of the path loss model, and data are ready for the statistical analysis of the short-scale or fast variations
Summary
The radio channel governs the performance of any wireless system deployed on it.this occurs, for all new proposals regarding the fifth generation (5G) of cellular mobile communications and all its related applications: Internet of Things, augmented reality, smart cities, smart houses, etc. [1]. The radio channel governs the performance of any wireless system deployed on it This occurs, for all new proposals regarding the fifth generation (5G) of cellular mobile communications and all its related applications: Internet of Things, augmented reality, smart cities, smart houses, etc. This effect could dramatically limit the effective usefulness, i.e., when trying to provide positioning by using receiving power from different base stations as a measure of distance [5]. In this case, errors in signal amplitude induced by fast fading events would lead to errors in distance computation, and in errors in positioning when computing the triangles for coordinate calculations.
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