The COST 2100 MIMO channel model
By Lingfeng Liu, Claude Oestges, J. Poutanen, Katsuyuki Haneda, P. Vainikainen, F. Quitin, Fredrik Tufvesson, Philippe De Doncker. IEEE wireless communications, 2011
691 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3452decd6c0932c5075bf31162e40ff5a8cfc458
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In Aerospace Engineering
- Emil Björnson
- Merouane Debbah
- Luca Sanguinetti
- Geoffrey Y. Li
- Rui Zhang
- Shi Jin
- Chao-Kai Wen
- Ahmed Alkhateeb
In Electrical and Electronic Engineering
- Emil Björnson
- Rui Zhang
- Merouane Debbah
- Robert W. Heath
- Luca Sanguinetti
- Lajos Hanzo
- Geoffrey Y. Li
- Ahmed Alkhateeb
Citations in the corpus
- Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “It is also possible that some wave components are only visible to a subset of the antennas in the array and blocked to the other antennas [42].”
- Deep Learning for Massive MIMO CSI Feedback (2017, methodology): “To generate the training and testing samples, we create two types of channel matrices through the COST 2100 channel model [16]: 1) the indoor picocellular scenario at the 5.”
- Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis (2019, background): “The other parameters are the same as [31].”
- Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond (2019, background): “COST 2100 introduced spatial consistency based on the visible region over which a group of MPCs is visible at a user [174].”
- A Tutorial on Near-Field XL-MIMO Communications Toward 6G (2023, neutral): “For the time-varying scenarios, the visibility of the UE may change due to its movement, thus resulting in the switching of VR mapping relationships [98], [99].”
- A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications (2023, background): “This particular visible region of the array from a given terminal is defined as the visibility region (VR) of this given terminal [46], [77], [137], [138].”
- 5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice (2017, methodology): “Turning the measurement results into suitable models has been pursued mainly along three avenues: (i) 3GPP-type spatial channel models (ii) geometry-based stochastic channel models (GSCMs) [16] 1 such as in COST 259/273/2100 [81], [82], and (iii) quasi-deterministic models.”
- 3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design (2016, methodology): “The visibility region as defined in the COST 2100 model [47], [48] is a key concept of geometric and stochastic propagation models, and represents the space-or time-span over which a group of traveling multipath components are present at a generic radio terminal antenna [48].”
- The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial (2019, neutral): “, COST2100 [29], [30]).”
- Machine Learning in the Air (2019, background): “16a,e [47], or the more advanced geometry-based COST 2100 stochastic channel model [48].”
- A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “Specifically, the COST 259 channel model was the fore-most GSCM for multiantenna base stations [213], while the COST 273 model subsequently addressed full MIMO systems.”
- Millimeter Wave Communications for Future Mobile Networks (2017, methodology): “As an evolution of the COST 273 model, the COST 2100 model [106] used visibility regions (VRs) introduced in COST 259 to model the scenario-variation.”
- A Survey of 5G Channel Measurements and Models (2018, methodology): “[81], [82] proposed massive MIMO channel models based on COST 2100 channel model [83].”
- Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part I: Methods, Measurements, and Models for Over-Water Settings (2017, methodology): “As with the rough-terrain models, they are inherently site specific, unless “randomized,” yielding the so-called GB stochastic channel models (GBSCMs) such as the model in [17], as well as the WINNER [18] and COST 2100 models [19].”
- Non-Stationarities in Extra-Large-Scale Massive MIMO (2019, methodology): “The concept of visibility region was introduced in the COST 2100 channel model [8].”
- Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, background): “The main efforts were invested during the 2010s into acquiring knowledge about the sub-100 GHz band of mmWaves as hallmarked by the COST2100 [206] initiative.”
- Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels (2018, methodology): “We use the COST 2100 model [11] to simulate time-varying MIMO channels and generate training samples.”
- Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis (2021, background): “901 and QuaDriGa [147], [228], [236] for the microwave and mmWave”