The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Finite-state Markov channel-a useful model for radio communication channels
Abstract
The authors first study the behavior of a finite-state channel where a binary symmetric channel is associated with each state and Markov transitions between states are assumed. Such a channel is referred to as a finite-state Markov channel (FSMC). By partitioning the range of the received signal-to-noise ratio into a finite number of intervals, FSMC models can be constructed for Rayleigh fading channels. A theoretical approach is conducted to show the usefulness of FSMCs compared to that of two-state Gilbert-Elliott channels. The crossover probabilities of the binary symmetric channels associated with its states are calculated. The authors use the second-order statistics of the received SNR to approximate the Markov transition probabilities. The validity and accuracy of the model are confirmed by the state equilibrium equations and computer simulation.>
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Cites
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Cited by
Sensitivity of wireless network simulations to a two-state markov model channel approximation
McDougall, J., & Miller, S. (2004) · GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489) · doi:10.1109/glocom.2003.1258328 · Cited by 70
A Survey of Channel Measurements and Models for Current and Future Railway Communication Systems
Unterhuber, P., Pfletschinger, S., Sand, S., Soliman, M., Jost, T., Arriola, A., Val, I., Cruces, C., Moreno, J., García-Nieto, J. P., et al. (2016) · Mobile Information Systems · doi:10.1155/2016/7308604 · Cited by 39
Training-Based Antenna Selection for PER Minimization: A POMDP Approach
Padmanabhan, S., Stephen, R. G., Murthy, C. R., & Coupechoux, M. (2015) · IEEE Transactions on Communications · doi:10.1109/tcomm.2015.2455504 · Cited by 15
Metadata
- Authors
- Wang, H. S., & Moayeri, N.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 1995-02
- Volume
- 44
- Issue
- 1
- Pages
- 163-171
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2164599584
- Cited by
- 1,647
- References
- 12
- FWCI
- 10.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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