Survey of Channel and Radio Propagation Models for Wireless MIMO Systems

By P. Almers, Ernst Bonek, A. Burr, Nicolai Czink, Merouane Debbah, V. Degli‐Esposti, H. Hofstetter, P. Kyösti, David I. Laurenson, Gerald Matz and 3 more. EURASIP Journal on Wireless Communications and Networking, 2007

594 citations recorded by the source corpus.

This paper provides an overview of the state-of-the-art radio propagation and channel models for wireless multiple-input multiple-output (MIMO) systems. We distinguish between physical models and analytical models and discuss popular examples from both model types. Physical models focus on the double-directional propagation mechanisms between the location of transmitter and receiver without taking the antenna configuration into account. Analytical models capture physical wave propagation and antenna configuration simultaneously by describing the impulse response (equivalently, the transfer function) between the antenna arrays at both link ends. We also review some MIMO models that are included in current standardization activities for the purpose of reproducible and comparable MIMO system evaluations. Finally, we describe a couple of key features of channels and radio propagation which are not sufficiently included in current MIMO models.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/843d898d1ee82432f2e7e4407e843b21be18de84

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Citations in the corpus

Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory (2022, unknown): “GSCM selects scatterer positions in a stochastic manner based on a probability distribution, then the channel impulse response is found by a ray tracing process [105].”
Integrated Sensing and Communication in 6G: Motivations, Use Cases, Requirements, Challenges and Future Directions (2021, background): “In addition, stochastic models which include geometry-based stochastic model (GBSM), and non-geometry stochastic model (NGSM) [11] are also considered as strong candidates for communication evaluation due to their brevity in large-scale simulation.”
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities (2020, background): “Clustered spatial models are known to be highly accurate and are commonly used in wireless standards [19].”
Joint Spatial Division and Multiplexing for mm-Wave Channels (2013, background): “Generally, MIMO channel models fall into two categories: (i) physical models, and (ii) analytical models [14].”
Channel Modelling for Multiprobe Over-the-Air MIMO Testing (2012, unknown): “An overview of models is given in [18].”
Linear Propagation Effects in Mode-Division Multiplexing Systems (2014, methodology): “MIMO system can be described by a frequency-dependent matrix [13], [16], [22], [23], [28].”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “Generally, channel modeling methods can be split mainly into two main categories, that is, analytical and physical channel models [163].”
A geometry-based stochastic MIMO model for vehicle-to-vehicle communications (2009, background): “In general, there are three fundamental approaches to channel modeling: deterministic, stochastic, and geometry-based stochastic [6], [7].”
A survey on vehicle-to-vehicle propagation channels (2009, background): “A complete description of the channel is therefore given by the time-variant channel impulse response [2].”
5G roadmap: 10 key enabling technologies (2016, background): “This type of antenna array configuration has been proven to e inadequate [93,94] .”
Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (2015, background): “The far-field RF propagation models are well known in literatures [230], [231].”
Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, background): “At mmWave frequencies, several studies involved the ray tracing model for predicting the propagation behaviour of the channel in diverse scenarios, as in [102], [141], [150], [159], [163]–[165].”
Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis (2021, unknown): “In contrast, analytical models directly characterize the impulse response of the channel and antenna characteristics in a mathematical way without explicitly accounting for wave propagation [195], [196].”