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Channel estimation and tracking algorithms for vehicle to vehicle communications
The vehicle-to-vehicle (V2V) communications channels are highly time-varying, making reliable communication difficult. This problem is particularly challenging because the standard of the V2V communications (IEEE 802.11p standard) is based on the WLAN IEEE 802.11a standard, which was designed for in...
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2015
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| _version_ | 1867613407649202176 |
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| access_status_str | Open Access |
| author | Awad, Moustafa |
| author_browse | Awad, Moustafa |
| author_facet | Awad, Moustafa |
| author_sort | Awad, Moustafa |
| collection | Thesis |
| dc_rights_str_mv | The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. |
| description | The vehicle-to-vehicle (V2V) communications channels are highly time-varying, making reliable communication difficult. This problem is particularly challenging because the standard of the V2V communications (IEEE 802.11p standard) is based on the WLAN IEEE 802.11a standard, which was designed for indoor, relatively stationary channels; so the IEEE 802.11p standard is not customized for outdo or, highly mobile non-stationary channels. In this thesis,We propose Channel estimation and tracking algorithms that are suitable for highly-time varying channels. The proposed algorithms utilize the finite alphabet property of the transmitted symbol, time domain truncation, decision-directed as well as pilot information. The proposed algorithm s improve the overall system performance in terms of bit error rates, enabling the system to achieve higher data rates and larger packet lengths at high relative velocities. Simulation results show that the proposed algorithms achieve improved performance for all the V2V channel models with different velocities, and for different modulation schemes and packet sizes as compared to the conventional least squares and other previously proposed channel estimation techniques for V2V channels. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-1101 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:39.635Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-1101 Channel estimation and tracking algorithms for vehicle to vehicle communications Awad, Moustafa The vehicle-to-vehicle (V2V) communications channels are highly time-varying, making reliable communication difficult. This problem is particularly challenging because the standard of the V2V communications (IEEE 802.11p standard) is based on the WLAN IEEE 802.11a standard, which was designed for indoor, relatively stationary channels; so the IEEE 802.11p standard is not customized for outdo or, highly mobile non-stationary channels. In this thesis,We propose Channel estimation and tracking algorithms that are suitable for highly-time varying channels. The proposed algorithms utilize the finite alphabet property of the transmitted symbol, time domain truncation, decision-directed as well as pilot information. The proposed algorithm s improve the overall system performance in terms of bit error rates, enabling the system to achieve higher data rates and larger packet lengths at high relative velocities. Simulation results show that the proposed algorithms achieve improved performance for all the V2V channel models with different velocities, and for different modulation schemes and packet sizes as compared to the conventional least squares and other previously proposed channel estimation techniques for V2V channels. 2015-02-01T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/102 https://fount.aucegypt.edu/context/etds/article/1101/viewcontent/Moustafa_20Medhat_20Awad_20__20Thesis.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain Channel estimation V2V communications |
| spellingShingle | Channel estimation V2V communications Awad, Moustafa Channel estimation and tracking algorithms for vehicle to vehicle communications |
| title | Channel estimation and tracking algorithms for vehicle to vehicle communications |
| title_full | Channel estimation and tracking algorithms for vehicle to vehicle communications |
| title_fullStr | Channel estimation and tracking algorithms for vehicle to vehicle communications |
| title_full_unstemmed | Channel estimation and tracking algorithms for vehicle to vehicle communications |
| title_short | Channel estimation and tracking algorithms for vehicle to vehicle communications |
| title_sort | channel estimation and tracking algorithms for vehicle to vehicle communications |
| topic | Channel estimation V2V communications |
| url | https://fount.aucegypt.edu/etds/102 https://fount.aucegypt.edu/context/etds/article/1101/viewcontent/Moustafa_20Medhat_20Awad_20__20Thesis.pdf |
| work_keys_str_mv | AT awadmoustafa channelestimationandtrackingalgorithmsforvehicletovehiclecommunications |