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.
Electronics & Communications Engineering Department
MS in Electronics & Communication Engineering
Committee Member 1
Committee Member 2
Library of Congress Subject Heading 1
Library of Congress Subject Heading 2
IEEE 802.11 (Standard)
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(2015).Channel estimation and tracking algorithms for vehicle to vehicle communications [Master's Thesis, the American University in Cairo]. AUC Knowledge Fountain.
Awad, Moustafa. Channel estimation and tracking algorithms for vehicle to vehicle communications. 2015. American University in Cairo, Master's Thesis. AUC Knowledge Fountain.