3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design

By Mathew Samimi, Theodore Ted S. Rappaport. IEEE transactions on microwave theory and techniques, 2016

587 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/989384b09ba063ccfba34b0072f18655695aa95d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

Citations in the corpus

Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models (2017, background): “Adaptive arrays are essential for mmWave communications to compensate the path loss caused by blockage from dynamic obstacles [29], [61], [80], [86]–[88].”
Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis (2021, unknown): “environments [40], [229], [230], [257]–[263].”
Compressed Sensing for Wireless Communications: Useful Tips and Tricks (2015, methodology): “Also, recent experiments performed on mi lli eter wave channels [39], [40] reveal the limited scattering clusters in angular domain.”
Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, methodology): “• Intensive 5G channel modeling efforts: Based on extensive measurements at the 28 GHz, 38 GHz, 60 GHz and 73 GHz, multiple channel models were proposed by NYU WIRELESS under the title of 5G Channel Model (5GCM), gradually evolving from the narrow band representation of [7] to the latest wideband ch”
The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial (2019, unknown): “The academic research works in [68] and [69] combine constrained mmWave channel measurements with extensive”
Millimeter Wave Beam-Selection Using Out-of-Band Spatial Information (2017, background): “angle-of-arrival (AoA) clusters increase [31], the shadow fading increases [48], and the angle spread (AS) of clus-”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “…of the m th subpath belonging to the n th time cluster, −→ m , n and −→ denote the azimuth/elevation AODs and azimuth/elevation AOAs, respectively [225], [230], of each MPC. −→ −→ We notice that h omni ( t , , ) can moreover be decomposed to form directional power delay proﬁles at a desired…”
A Survey of 5G Channel Measurements and Models (2018, methodology): “A 3GPP-like mmWave channel model called statistical spatial channel model (SSCM) [71], [72], [163] was developed by Theodore S. Rappaport’s team based on extensive mmWave channel measurements in the 28/38/60/73 GHz bands [5], [20], [55], [57], [164]–[169].”
Learning the MMSE Channel Estimator (2017, background): “Since a large array gain is essential in such setups, there is currently a lot of research going on concerning the modeling and verification of massive MIMO and/or millimeter wave channels [5], [6] and the question how these models can aid channel estimation [7].”
End-to-End Simulation of 5G mmWave Networks (2017, background): “89 Width of one subband in MHz SubcarriersPerSubband 48 Number of subcarriers in each subband CenterFreq [6-100] Possible carrier frequencies in GHz∗ NumRefScPerSymbol 864 (25% total) Reference subcarriers per symbol NumDlCtrlSymbols 1 Downlink control symbols per subframe NumUlCtrlSymbols 1 Uplink ”
Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond (2019, background): “user’s motion within a local area [73], [171], [172].”
Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications (2016, background): “Two-dimensional (2D) and 3D statistical spatial channel models for across the mmW ave bands were developed in [32], [33].”