Moustafa Awad


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

Degree Name

MS in Electronics & Communication Engineering

Graduation Date


Submission Date

July 2015

First Advisor

Seddik, Karim

Committee Member 1

Amer, Hassanein

Committee Member 2

Nafei, Mohamed


84 p.

Document Type

Master's Thesis

Library of Congress Subject Heading 1

Tracking (Engineering)

Library of Congress Subject Heading 2

IEEE 802.11 (Standard)


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Institutional Review Board (IRB) Approval

Approval has been obtained for this item


All praise is due to Allah (God). I would like to express my gratitude towards my supervisor Dr.Karim Seddik. His way of thinking, fruitful contribution, support and understanding had made my M.Sc journey more beneficial and much easier. Also i would like to thank Dr.Ayman Elezabi for his guidance through out my graduate studies. I thank my parents so much for their support and for always pushing me forward that makes me has no choice other than to succeed. I would like to confess that without their support, i would never have been able to achieve so much. I especially want to thank my wife for being by my side and making me more confident and motivated to pursue my master’s degree. I am extremely grateful to General Nabil Elmohandes, for his support during my military service and making me able to pursue my studies.