WINNER II Channel Models

By J. Meinila, P. Kyosti, T. Jamsa, L. Hentila. 2009

1,308 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7c8361fae2666552103329656ee71f131752b128

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In Electrical and Electronic Engineering

Citations in the corpus

Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based Approach (2012, methodology): “In this work, we further reduce the computational complexity and apply our scheme to WINNER II channel models [25] which contain a well-known indoor scenario.”
Downlink Cellular Network Analysis With Multi-Slope Path Loss Models (2014, neutral): “And indeed, such a model is very close to many scenarios in the WINNER II path loss model adopted for 3GPP-LTE standardization [14], [15] and is well-supported by many measurements see, [15], [16], [17] and the references therein.”
Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios (2015, methodology): “Note that for single frequencies, γ in the ABG model is set to 2, thus reverting to the AB model used in 3GPP and WINNER II channel models [17], [23], [24].”
A Survey of 5G Channel Measurements and Models (2018, methodology): “The mean values of the K -factors have been reported in various HST scenarios, e.g., 6 dB for an open space scenario [48], 4.55 dB for a viaduct scenario [43], 1.52 dB for a cutting scenario [44], and 0.72 dB for a hilly terrain scenario [47].”
Indoor Office Wideband Millimeter-Wave Propagation Measurements and Channel Models at 28 and 73 GHz for Ultra-Dense 5G Wireless Networks (2015, methodology): “The floating-intercept (FI) path loss model is used in the WINNER II and 3GPP standards [116], [117].”
The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial (2019, neutral): “(WIM1), WINNER II (WIM2) [23]–[26], WINNER+ (WIM+), 3D MIMO channel models [18], [27], and QuaDRiGa [28]) and COST-style (e.”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “1.2 [202], respectively.”
An Empirical Path Loss Model and Fading Analysis for High-Speed Railway Viaduct Scenarios (2011, methodology): “The WINNER II model [1] contains the high-speed railway scenarios.”
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (2017, methodology): “The wireless channel follows the wireless world initiative for new radio model (WINNER II) [9], where the carrier frequency is 2.”
Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design (2015, methodology): “This simple clustering scheme can resolve multipath channel dynamics in great detail within the smallest multipath time resolution offered by the 3GPP and WINNER models (20 ns) [50] [76], and is easily adjustable to resolve temporal statistics over arbitrary time resolutions using a different minimu”
Device-to-device communication as an underlay to LTE-advanced networks (2009, methodology): “In our studies we use the channel and propagation models defined in WINNER scenario A1 (indoor/office) [7].”
3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design (2016, methodology): “In Step 12, the SP components are randomly assigned to the SL AODs and AOAs in a uniform random fashion, thereby recoupling time and space to produce an accurate joint spatio-temporal SSCM, while remaining faithful to our definitions of TC and SL.”
Modeling and Analyzing Millimeter Wave Cellular Systems (2016, methodology): “The speciﬁc values taken for A , B , C in the 3GPP blockage model are based on a relatively limited number of measurements from the WINNER II 2007 document, which pre-dates the deployment of LTE [75].”
Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022, neutral): “To evaluate the performance of the proposed conditional GAN in real channel conditions, the trained model is tested with the WINNER II channels [136].”