Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design
By Theodore Ted S. Rappaport, George R. MacCartney, Mathew Samimi, Shu Sun. IEEE Transactions on Communications, 2015
1,465 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/ce4aba4896b4d985836f0d51627e1952fcfccebb
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In Electrical and Electronic Engineering
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Citations in the corpus
- A Survey of 5G Channel Measurements and Models (2018, methodology): “Measurements in [5], [20], and [53]–[57] were carried out at 28 GHz, 38 GHz, 60 GHz, and 73 GHz in New York.”
- Modeling and Analyzing Millimeter Wave Cellular Systems (2016, methodology): “RMS delay spread, path loss, and building penetration and reflection coefficients, leading to further models for cellular mmWave channels [39].”
- Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems (2016, background): “When the channel hv is more sparse, the advantage of the proposed algorithm becomes significant.”
- 3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design (2016, background): “AND 73-GHz NEW YORK CITY MEASUREMENTS [11], [12], [57] Fig.”
- A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking (2021, methodology): “It was shown that, for mmWave transceivers on the ground, an average of 3-4 clusters of multi-path components (MPCs) are relevant [18].”
- Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios (2015, methodology): “Single frequency UMi data in Tables II and III show the PLE tends to increase only slightly with an increase in frequency, as suggested in [11], and Table IV shows no significant frequency sensitivity for the PLE with taller UMa transmitters.”
- Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System (2018, neutral): “put (MIMO) [3]–[5], non-orthogonal multiple access (NOMA) [6], [7], and Millimeter-wave (mmWave) communication [8].”
- Beamforming for Millimeter Wave Communications: An Inclusive Survey (2016, background): “Notable references that consolidate reported measurement data by providing valuable insights include [8], [13], and [93].”
- The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial (2019, neutral): “Details of the measurement description can be found in [184].”
- Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, methodology): “For 28 GHz propagation, the very first 3-D measurement based mm-wave statistical channel impulse response model is presented in [220].”
- 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].”
- Stacked Intelligent Metasurfaces for Efficient Holographic MIMO Communications in 6G (2023, neutral): “5 and δ = 9 dB in our simulations [52].”
- Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, methodology): “Started from proposing a narrow band channel model [7] to multiple wideband channel model proposals [99], [180], [77], [78], [98] [59], [72], [76], [79], [80], [105], [106], [190]”
- Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective (2019, background): “Mm-wave environments such as indoor and vehicular communications are highly variable with typical channel-coherence times in the range of nanoseconds [5].”
- A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “lenges in the physical, medium access control (MAC) and network layers design impede the implementation of mmWave communications networks to full potential [46], [47].”
- Millimeter Wave Cellular Networks: A MAC Layer Perspective (2015, background): “This leads to a sparse-scattering environment, where the majority of the channel directions of arrivals (DoAs) are below the noise floor [10], [15]–[17].”
- Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis (2021, background): “summarized mmWave channel measurements conducted by NYU Wireless in 2015 [40].”
- Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models (2017, methodology): “1 [20], [28], [83], [84], [117].”