Book contents
- Frontmatter
- Dedication
- Contents
- Contributors
- Preface
- 1 Introduction
- 2 Estimating Channel Characteristics from Measurements
- 3 Channel Sounders
- 4 Verification Techniques
- 5 Introduction to Millimeter-Wave Channel Modeling
- 6 Path Loss/Shadowing
- 7 Multipath Component Clustering
- 8 Dispersion Characteristics
- 9 Peer-to-Peer Networking
- 10 Temporal Variance: Literature Review on Human Blockage Models
- 11 Terahertz Channels
- 12 Connection between the Measurements and Models
- 13 Conclusions
- Index
10 - Temporal Variance: Literature Review on Human Blockage Models
Published online by Cambridge University Press: 18 August 2022
- Frontmatter
- Dedication
- Contents
- Contributors
- Preface
- 1 Introduction
- 2 Estimating Channel Characteristics from Measurements
- 3 Channel Sounders
- 4 Verification Techniques
- 5 Introduction to Millimeter-Wave Channel Modeling
- 6 Path Loss/Shadowing
- 7 Multipath Component Clustering
- 8 Dispersion Characteristics
- 9 Peer-to-Peer Networking
- 10 Temporal Variance: Literature Review on Human Blockage Models
- 11 Terahertz Channels
- 12 Connection between the Measurements and Models
- 13 Conclusions
- Index
Summary
Human blockage causes temporal variations to radio channels when a mobile device is in motion and some plane waves constituting the radio channels are blocked by a human body. Even when two sides of communications are static, moving human bodies often shadow some plane waves, leading to time-varying radio channel responses. Shadowing of plane waves due to human bodies makes the shapes of the Doppler spectrum significantly different for the stationary and mobile links. The main task of modeling human blockages is therefore to choose reasonable properties of the blocking objects. This chapter covers human blockage models with different shapes and material properties of the blocking objects, with mathematical representations to estimate the shadowing losses in addition to free-space losses of a plane wave.
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- Information
- Radio Propagation Measurements and Channel Modeling: Best Practices for Millimeter-Wave and Sub-Terahertz Frequencies , pp. 218 - 231Publisher: Cambridge University PressPrint publication year: 2022