Path loss models for 5G millimeter wave propagation channels in urban microcells

By George R. MacCartney, Junhong Zhang, Shuai Nie, Theodore Ted S. Rappaport. Global Communications Conference, 2013

366 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fc09fd2955d3ea9a343d0b07aea2344d98c2dacd

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In Electrical and Electronic Engineering

Citations in the corpus

Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks (2014, background): “misleading for distances where the physical model of (1) will still hold [13], [14].”
Indoor Office Wideband Millimeter-Wave Propagation Measurements and Channel Models at 28 and 73 GHz for Ultra-Dense 5G Wireless Networks (2015, methodology): “The lack of measurements or data samples is often the cause of α and β values that make no physical sense [112], [120].”
Stochastic Geometry Modeling and Analysis of Multi-Tier Millimeter Wave Cellular Networks (2014, methodology): “It is worth mentioning that in the floatingintercept model, unlike the close-in model, the parameters (α, β) have no physical interpretation and they denote only the floating intercept and the slope of the best linear fit of empirical data [23], [24].”
Millimeter Wave Channel Modeling and Cellular Capacity Evaluation (2013, background): “Our own previous studies at 38 GHz [39]–[43] found that relatively long-range links ( > 300 m) could be established.”
5G Backhaul Challenges and Emerging Research Directions: A Survey (2016, background): “Rappaport and his team have carried intensive work on validating and advocating the usage of 60 GHz, through field measurements for both scenarios: wireless mobile access and wireless bac khaul/fronthaul [71]–[75].”
Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges (2014, background): “where d is the distance in meters, is the best [minimum mean square error (MMSE)] fit floating intercept point over the measured distances (30–200 m) [81], is the slope of the best fit, and 2 is the lognormal shadowing variance.”
Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, methodology): “The PLE measured in many LOS environments was found to be 2 in numerous studies [7], [28], [37], [57], [75], [216].”
5G 3GPP-Like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments (2016, methodology): “Three multi-frequency PL models are considered here; namely the close-in (CI) free space reference distance PL model [12], [21]–[23], the close-in free space reference distance model with frequency-dependent path loss exponent (CIF) [13], and the Alpha-Beta-Gamma (ABG) PL model [13], [24]–[26].”
Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications (2016, neutral): “across the mmWave band in the indoor office scenario [44] (both the β and γ parameters are used for curve fitting, as was done in the WINNER floating-intercept (AB) model) [24], [34], [35].”
Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design (2015, methodology): “Rain attenuation only contributes a few dB of additional propagation path loss at mmWaves compared to free space when considering inter-site base station distances of no more than a few hundred meters, implying that the impact of rain will be mollified through the use of high gain, steerable antenna”
Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios (2015, methodology): “an offset β (which is basically an optimization parameter that is not physically based), and a frequency weighting term γ which has no proven physical basis, although recent indoor measurements show that the path loss increases with frequency across the mmWave band [20] (both of these parameters are”
Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models (2017, methodology): “These include the close-in (CI) free space reference distance model (with a 1 m reference distance) [20], [28], [83], [84], the CI model with a frequency-weighted or height weighted path loss exponent (CIF and CIH models) [18], [19], [21], [24], and the floating intercept (FI) path loss model, also ”