event

Ph.D. Dissertation Defense - Yahya Alfadhili

Primary tabs

Title:  Advanced Radio Access Network Featuring Flexible Per-UE Service Provisioning and Collaborative Mobile Edge Computing

Committee:

Dr. Xiaoli Ma, ECE, Chair, Advisor

Dr. Umakishore Ramachandran, CoC

Dr. Douglas Blough, ECE

Dr. Mary Ann Weitnauer, ECE

Dr. Gordon Stuber, ECE

Abstract: Enriched by numerous technological advances, radio access networks (RANs) strive to meet the goals of both mobile network operators (MNOs) and end-users. While MNOs seek efficiency, resiliency, reliability and flexibility of their networks, end-users are more concerned with the variety and quality of the provided, state-of-the-art, reasonably priced services. This has resulted in a complex, multi-tier, and heterogeneous RAN architecture that is severely challenged to achieve and maintain a strict reliability requirement of seven-nines (i.e., 99.99999% network up-time) and to meet ultra-reliable, low latency communications (URLLC) requirements with a latency upper bound of 1 ms end-to-end roundtrip time. Based on the flexible function split concept and data-plane programmability, this dissertation makes several key contributions to the body of knowledge on advanced, service-oriented RANs in two key core components. The first core component pertains to improving fronthaul efficiency, resiliency, flexibility, and latency performance with the cross-layer integration of Analog-Option-9 function split in a flexible fronthaul paradigm. The second core component is related to the design of lightweight, fronthaul-positioned multi-access edge computing (MEC) units to host Cooperative-URLLC applications at the edge of the fronthaul. Hence, from the vertical perspective, the dissertation provides solutions to support general URLLC applications and the Cooperative-URLLC variation by shrinking and eliminating latency sources at the Top-of-RAN and Low-RAN segments of advanced RANs.

Status

  • Workflow Status:Published
  • Created By:Daniela Staiculescu
  • Created:07/11/2022
  • Modified By:Daniela Staiculescu
  • Modified:07/11/2022

Categories

Target Audience