On Tuesday the 16th of June. 2020, 09:00 AM, the Ph.D. student “Sarmad Khalil Ibrahim “defended his thesis entitled:

“Optimal usage of lower layers of broadband technologies of long term evolution for Multi-User video streaming”

The discussion committee included:

The discussion committee included:
Prof. Dr. Khamis Awad Zaidan /Al-Iraqia University – College of Engineering / Chairman.
Prof. Dr. Dhafer Rafie Saghir / Al-Mustansiriya University-College of Engineering/member
Prof. Dr. Hikmat Najm Abdullah / College of Information Engineering/member.
Prof. Dr.Mahmoud Farhan Musleh / Al-Wista Technical University – College of Electrical and Electronic Technologies/member.
Prof. Dr. Abdel-Karim Abdel-Rahman Kazem / College of Information Engineering / Member.
Prof. Dr.Nasir Nafeh Khamis / College of Information Engineering/member and supervisor.

The student got the degree of success and acceptance of the thesis with minor modifications during the period of a month and he completed the discussion.


Abstract :

Digital wireless data demand is dramatically increased year over year. The number of wireless devices is grown at a very fast speed, which presents challenges to existing wireless communication networks.

Improving spectral-utilization is a key focus for addressing the ever-increasing demand for data rate and network capacity needed to develop the broadband infrastructure. For this reason, enhancing the current mobile systems is one of the aims of this dissertation that can fulfill the IMT-2020 requirements.

On the other hand, most of the data sent over these networks are video data, which makes up approximately 90% of the total data transmitted over networks. The amount rate of the video data service required for each user must be reduced to support the largest number of users. So this dissertation is devoted to solve the above two problems by means of design a new mobile communication system and video encoder models. It aims and focuses on providing video service to the largest number of users by increasing the data rate of the communication system and reducing the consumption of video data.

In the first part of the dissertation, a new scheduling algorithm, modulation coding scheme (MCS), and advanced waveform are proposed to achieve the IMT-2020 requirement and 5G capability but at a low cost.

In the second part, three recommended types of video coding models are proposed for different applications, such as archiving and online streaming. These video codings are applied in the homogeneous, heterogeneous, and future network requirements.

The hardware of the video encoder is used to support the simulation result for the comparison purpose. The HM 16.3, FFMPEG, and JM tools are used to simulate the video encoder system, while MATLAB 2018 is used to simulate the mobile communication system.

The overall system, video encoder, and mobile communication system were tested to evaluate the overall performance and compare them with traditional systems. The results show that the proposed mobile system, together with any of the proposed video coding models put forward in this dissertation, presents outstanding performance improvement over a previously created system. Under the proposed wireless system, average throughput increased from 829 to 965 Mbps, while the peak data rate approximated that of a 5G system. Specifically, the proposed system reached a peak data rate of 9.6 Gbps, whereas an LTE-ADV (Rel.13-Rel.14) system registered 4.14 Gbps. The proposed wireless with the first proposed video coding system could serve approximately 127% and 31% more users than those serviced by H.265 LTE(Rel.10-Rel.12) and H.265 LTE-ADV systems, respectively. Then, the second proposed video coding system serving around 377% and 175% more users than those to H.265 LTE and H.265 LTE-ADV systems, respectively.

Finally, the third proposed video coding system could serve about 136% and 36% more users than those served via H.265 LTE and H.265 LTE-ADV systems, respectively.