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Mr. Abdurrahman Beg, Full-Time COE MS Student, will defend his MS Thesis on Monday, November 23, 2020, at 01:00 p.m. Online (By Using Microsoft Teams). His MS thesis title is "SOFTWARE DEFINED AERIAL NETWORKS IN 5G: A DATA CENTRIC PUBLISH/SUBSCRIBE APPROACH TO HIERARCHICAL DISTRIBUTED CONTROLLERS". His thesis advisor is "Dr. Basem Al-Madani, Assistant Professor, COE Department". You are cordially invited to attend by clicking the following link ""
The journey towards the fifth generation of wireless networks and beyond has accelerated to meet the ever-rising traffic demands brought forth from the rapid development and proliferation of highly capable mobile devices: smartphones, tablets, and Internet-of-Things (IoT) objects. Enabling technologies proffered by 5G introduce new constraints placed on the telecommunication network, such as susceptibility to interference, Line-of-Sight (LoS) requirement, short-range capability, decreasing cell sizes, fronthaul/backhaul link management, and an overall need for a dynamic network model. Unmanned Aerial Vehicles (UAVs) as aerial base stations and relays are viewed as a complementary solution to the limitations imposed by 5G communication, referred to in this work as Aerial Access Networks (AANs). The integration of highly dynamic aerial nodes into traditional cellular networks poses a challenge in efficient network configuration and management flexibility. Furthermore, future networks require the capability of intelligent actions in changing environments based on predictive models trained on large amount of ground terminal behavioral information collected from centralized network elements. Traditional cellular network models are incapable of performing such tasks in an efficient manner. Software-Defined Networking (SDN) paradigm has been proposed in the literature for such dynamic network environments. In this work, a study of AANs deployed with SDN network model is presented to resolve 5G cellular communication limitations. Further, a review is presented of the challenges and latest technologies in the deployment of AANs in addition to a novel multi-tier AAN architecture integrating a scalable SDN network model is proposed. Scalability-based performance evaluation is carried out on the data-centric Real-Time Publish/Subscribe (RTPS) model utilized for distributed, hierarchical SDN controllers

Expiry: 31 Dec 2020