Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov Chain
Empirical modeling of wireless fading channels using common schemes such as autoregression and the finite state Markov chain (FSMC) is investigated. The conceptual background of both channel structures and the establishment of their mutual dependence in a confined manner are presented. The novel con...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Electronics and Telecommunications Research Institute (ETRI)
2017-10-01
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| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.17.0117.0246 |
| _version_ | 1818240688257499136 |
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| author | Ahmed Abdul Salam Ray Sheriff Saleh Al‐Araji Kahtan Mezher Qassim Nasir |
| author_facet | Ahmed Abdul Salam Ray Sheriff Saleh Al‐Araji Kahtan Mezher Qassim Nasir |
| author_sort | Ahmed Abdul Salam |
| collection | DOAJ |
| description | Empirical modeling of wireless fading channels using common schemes such as autoregression and the finite state Markov chain (FSMC) is investigated. The conceptual background of both channel structures and the establishment of their mutual dependence in a confined manner are presented. The novel contribution lies in the proposal of a new approach for deriving the state transition probabilities borrowed from economic disciplines, which has not been studied so far with respect to the modeling of FSMC wireless fading channels. The proposed approach is based on equal portioning of the received signal‐to‐noise ratio, realized by using an alternative probability construction that was initially highlighted by Tauchen. The associated statistical procedure shows that a first‐order FSMC with a limited number of channel states can satisfactorily approximate fading. The computational overheads of the proposed technique are analyzed and proven to be less demanding compared to the conventional FSMC approach based on the level crossing rate. Simulations confirm the analytical results and promising performance of the new channel model based on the Tauchen approach without extra complexity costs. |
| first_indexed | 2024-12-12T13:17:25Z |
| format | Article |
| id | doaj.art-c4a8a4a0d8d44d3fa3de21bbe08aebe5 |
| institution | Directory Open Access Journal |
| issn | 1225-6463 2233-7326 |
| language | English |
| last_indexed | 2024-12-12T13:17:25Z |
| publishDate | 2017-10-01 |
| publisher | Electronics and Telecommunications Research Institute (ETRI) |
| record_format | Article |
| series | ETRI Journal |
| spelling | doaj.art-c4a8a4a0d8d44d3fa3de21bbe08aebe52022-12-22T00:23:23ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632233-73262017-10-0139571872810.4218/etrij.17.0117.024610.4218/etrij.17.0117.0246Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov ChainAhmed Abdul SalamRay SheriffSaleh Al‐ArajiKahtan MezherQassim NasirEmpirical modeling of wireless fading channels using common schemes such as autoregression and the finite state Markov chain (FSMC) is investigated. The conceptual background of both channel structures and the establishment of their mutual dependence in a confined manner are presented. The novel contribution lies in the proposal of a new approach for deriving the state transition probabilities borrowed from economic disciplines, which has not been studied so far with respect to the modeling of FSMC wireless fading channels. The proposed approach is based on equal portioning of the received signal‐to‐noise ratio, realized by using an alternative probability construction that was initially highlighted by Tauchen. The associated statistical procedure shows that a first‐order FSMC with a limited number of channel states can satisfactorily approximate fading. The computational overheads of the proposed technique are analyzed and proven to be less demanding compared to the conventional FSMC approach based on the level crossing rate. Simulations confirm the analytical results and promising performance of the new channel model based on the Tauchen approach without extra complexity costs.https://doi.org/10.4218/etrij.17.0117.0246Autoregressive (AR)Finite state Markov chain (FSMC)Multipath fadingTauchen modelingWireless channels |
| spellingShingle | Ahmed Abdul Salam Ray Sheriff Saleh Al‐Araji Kahtan Mezher Qassim Nasir Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov Chain ETRI Journal Autoregressive (AR) Finite state Markov chain (FSMC) Multipath fading Tauchen modeling Wireless channels |
| title | Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov Chain |
| title_full | Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov Chain |
| title_fullStr | Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov Chain |
| title_full_unstemmed | Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov Chain |
| title_short | Novel Approach for Modeling Wireless Fading Channels Using a Finite State Markov Chain |
| title_sort | novel approach for modeling wireless fading channels using a finite state markov chain |
| topic | Autoregressive (AR) Finite state Markov chain (FSMC) Multipath fading Tauchen modeling Wireless channels |
| url | https://doi.org/10.4218/etrij.17.0117.0246 |
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