Systems Optimization Imperatives, Techniques, and Opportunities for Future Networks Workshop

2021 SysOpt Workshop Banner

Virtual | 21,22,25 January 2021

Register here for Day 1, Day 2, Day 3.



This workshop will explore current technological advancements in autonomic/autonomous networking, Artificial Intelligence (AI) approaches for Autonomics, various related industry standards, industrial deployment of autonomics paradigms, e.g. Self-organizing Networks (SON) for radio access networks, autonomics use cases, as well as associated research challenges. The objective of this workshop is to bring together experts from the globe and create a joint platform for information exchanges, presentation of results, and fruitful discussions to identify gaps and future directions for the IEEE FNI Systems Optimization Working Group.


Call for Speaker Proposals

Submit your speaking proposals here:
If you do not have an EDAS account, create one here.

Deadline: 18 December 2020

Each proposal (maximum 2 pages) must include:

  • Title and Abstract
  • Specific track (see descriptions below): Standards/Architecture, Industry Applications, Research Challenges
  • A short biography (no more than 200 words) of each speaker
  • An explanation of the motivation, background, objective, description of the challenges to be covered, relevance, and timeliness

The proposal will be reviewed based on its relevance, the topic’s importance to the workshop, and the diversity it offers in terms of the problem, proposed solution, and evaluation approach.


Track Descriptions

Standards & Architecture
The topic of Autonomic/Autonomous Networking is at the core of the roadmap to implementing highly automated, smart and self-driving networks empowered by Artificial Intelligence (AI) Algorithms/Models for Autonomics (Closed Control-Loops). Various key Industry Standards SDOs/Fora are now working on autonomic/autonomous networking standards and frameworks. IEEE SysOpt WG is calling for presenters in the space of standardization of autonomics, AMC (Autonomic Management & Control of Networks, Services and Parameters), and autonomous systems and networking in order to broadly discuss the emerging and future standards landscapes in this area, with the hope that the ongoing work in IEEE SystOpt WG can adopt emerging standards where possible and/or identify standards gaps now and in the coming years and how to close them.

This topic area will investigate current work such as:

  • ETSI work on the Generic Autonomic Networking Architecture (GANA) Reference Model for Autonomic Networking, Cognitive Networking and Self-Management
  • Other work on frameworks and standards that incorporate Autonomics Principles, e.g. NGMN, BroadBand Forum (BBF), TMForum, ITU-T SG13, IEEE, 3GPP, GSMA, and others.
  • Ongoing efforts on Industry Harmonization of Architectural Frameworks and Taxonomy for Autonomic/Autonomous Networking and Autonomic Management & Control (AMC) to avoid standards collisions and reduce or avoid duplication of work across SDOs/Fora.

Industry Applications
In the Industry Applications topic area, we will discuss the industrial deployment of autonomics paradigms and their adoption by stakeholders in the value chain, such as operators, vendors, integrators, and the like. An example is the Self-Organizing Networks (SON) paradigm which is driven by autonomics features for the Radio Access Network (RAN). There are other autonomics related solutions that are being deployed already today in various network segments and in the management and control architectures of various network architectures. IEEE SystOpt WG encourages contributors to share their experiences in deployments of autonomics related technologies (including solutions that fall under the umbrella of closed-loop network automation in general), whether it is Work in Progress (WIP), testbed or pilot developments, pre-products or commercially viable developments

Generic autonomics use-cases of interest include:

  • Management Plane, Control Plane, Forwarding Plane and Industrial Networks Use Cases
  • Artificial Intelligence (AI) and Machine Learning (ML) roles in Autonomics Solutions
  • Federated and Multi-Layer autonomic management and control

Research Challenges
In the research challenges topic area we will discuss topics related to system scenarios and use cases, system requirements, multi-objective optimization and decision making with mutually conflicting and incommensurable objectives, optimization in software-defined and self-organizing networks, real-time optimization, optimization hierarchies, ranges and resolution in time, frequency, and space, optimization protocols and algorithms, and cloud and edge processing.