Master Thesis - Enabling Industrial Automation via Intelligent 5G System
Ericsson Research is the central research organization within the Ericsson group. We are about 600 researchers in many countries with the central site in Kista, Stockholm. Our mission is to provide Ericsson with system concepts, technology, and methodology, to secure long term competitive product provisioning. World-class innovation is achieved through cooperation within Ericsson and with partners, customers, universities, and research institutes.
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The fourth industry revolution (Industry 4.0) depends on the incorporation of cyber physical systems, Internet of Things, cloud computing, and cognitive computing. A main pillar of realizing full industrial automation is the wireless connectivity among industrial robots and nodes. Industrial automation, including factory automation, is considered as the main driver for time sensitive networks (TSN). Determinism is one of the main characteristics of TSN traffic. Deterministic traffic is service-centric that aims at optimizing service parameters, zero congestion loss, bounded latency and in-time delivery, that are ensured by appropriate resources allocation. However, traditional traffic is network-centric with the aim to optimize network utilization, maximum throughput, and accepted mean delay. Hence, deterministic periodic TSN traffic can be considered as a predictable type of traffic requiring ultra-reliable and low-latency communication (URLLC) solutions. The realization of industrial radio connectivity requires the ability to support the operation of mixed traffics incorporating TSN, mobile broadband (MBB) and traffic generated by industrial sensors. It is expected that the URLLC requirement can be met , however when mixing it with MBB traffic several spectral efficiency and latency issues appear. Therefore, optimization of prioritization rules, scheduling, and grant configurations are essential for such mixed operation. That is, meeting the latency/reliability requirement of URLLC portion of the traffic while enhancing the spectral efficiency of the MBB portion of the traffic is an important challenge. Such optimization requires the wireless network to be aware of traffic attributes, e.g. latency bound, periodicity and pattern of arrival, max/min jitter tolerance, etc. This can be done via exchange of information among different layers and entities or deploying an intelligent agent at the network side to predict such traffic characteristics.
The aim of this thesis is to investigate 1) different flexible grants possibilities and its configurations, 2) Impact of new QoS attributes and a way of exchanging such attributes, and 3) ways to mitigate jitter/miss-alignment impact, to support the mixed services in industrial scenario. The tasks of this thesis include:
- Studying how to assign a suitable grant (configured/dynamic), while considering the associate QoS attributes of the TSN traffic.
- Investigating such procedures in a radio simulator.
- Propose a more flexible grant to accommodate mixed services and solve conflicting issues.
- Evaluate the performance of such grants against conventional grant in the specification.
- (optional) If the above steps are successfully achieved, the student will investigate the possibility of employing an intelligent agent at the gNB to predict the UE traffic pattern without having to signal such pattern and evaluate the system performance.
Tasks and formal aspects
The project will be done at Ericsson Research in close cooperation with KTH in Kista. At Ericsson Research, the student will have the chance to interact with top of the field researchers. The student is responsible for the detailed problem and project descriptions and the thesis proposal documents. The research will focus on system level simulations using a Java based simulator tool, the theoretical aspects of the work will mainly rely on open sources, 3GPP specifications, and studies of published research papers (e.g. X. Jiang, "Low-Latency Networking: Where Latency Lurks and How to Tame It", Proceedings of the IEEE, August 2018.)
The MSc thesis will be examined at KTH, by Gabor Fodor at The Royal Institute of Technology, School of Electrical Engineering and Computer Science (EECS). The project corresponds to full time work of 20 weeks. The examination is based on a written report, oral presentation and how the project is managed by the student. A master thesis proposal seminar is scheduled after 6-8 weeks after the project commences.
- Wireless networks or equivalent;
- Good background in Java.
- Course requirements must have been fulfilled for the degree project.
- Interest in or knowledge on business models.
- Good spoken and written English.
- Ability to perform studies and reports.
- Ability to do innovation.
- The candidate should be self-driven and able to initiate action.
- Ability to work independently, as well as collaborating in teams.
- Good presentation and communication skills.
Applications should include a brief personal statement, CV, and a list of grades. In the application, make sure to mention previous activities or other projects that you consider relevant for the position. Suitable applicants will be interviewed as applications are received.
 R1-1806443 - IMT-2020 self evaluation - Reliability in NR
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Primary country and city: Sweden (SE) || || Stockholm || Stud&YP
Req ID: 260456