Sensitivity of wireless network simulations to a two-state markov model channel approximation
Abstract
In this paper, we investigate the appropriateness of wireless network simulations that employ a two-state Markov model to approximate a flat Rayleigh fading channel. Our approach first analyzes the statistical similarities and differences between block error processes generated by 1) an 802.11b defined communication scheme in the presence of flat Rayleigh fading and 2) a representative two-state Markov model. It is shown that, at low SNR, the Markov model does not generate an adequate frame error process. Furthermore, we quantify the effects of said statistical deviations through ns2 network simulations. This work further advances the understanding of the appropriate, and inappropriate, environments under which the two-state Markov model is a suitable approximation of a fading channel.
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The Gilbert-Elliot model is an appropriate choice for modeling the impact of errors within a noisy wireless channel.
“This model is extensively simulated in research studies to find packet losses [52], frame losses [53], and bit losses [54], hence making it an appropriate choice for modeling the impact of errors within a noisy wireless channel [55].”
From VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming (2022) · cites this paper as [54]
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- Authors
- McDougall, J., & Miller, S.
- Affiliations
- Texas A&M University (US)
- ORCID
- Miller, S.
- Venue
- GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)
- Publisher
- IEEE
- Published
- 2004-07-08
- Volume
- 2
- Pages
- 697-701
- ISSN
- 1930-529X (ISSN-L)
- OpenAlex
- W2160212283
- Semantic Scholar
- 1c083ed36d9ac8f6f1261ea791fc242b5b7be48b
- Cited by
- 70
- References
- 13
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 2 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 1 · 2014: 4 · 2013: 7 · 2012: 3
- FWCI
- 3.01
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Globecom (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Keywords
- two-state Markov model, flat Rayleigh fading, wireless network simulation, IEEE 802.11b, low signal-to-noise ratio, NS-2 simulation
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