Sub millisecond Stream Processing Framework on ENCQOR 5G Network


5G (ENCQOR) Technology Development Challenge for SMEs

Sub millisecond Stream Processing Framework on ENCQOR 5G Network

Challenge Launch Date:

December 22nd, 2020

Challenge Deadline: 

January 31st, 2021

Challenge Statement:

Industry 4.0 applications and services, such as autonomous driving, mining, logistics centers, ports, etc., require dedicated 5G networks with a sustained low latency and high bandwidth requirements.

These mission critical dedicated 5G networks will enable a wide range of time-critical services for consumers, enterprises and public institutions across various sectors. Such networks are intended for time-critical applications that demand data delivery with specific latency and reliability guarantees.

It is important that the reliability and latency constraints imposed in these mission critical dedicated 5G networks are constantly monitored and reinforced to maintain the quality of service (QoS), service level agreement (SLA) as infringements can cause safety threats and/or loss of income.

However, in practice, particularly in rugged outdoor environments, client devices experience signal fading and radio shadow due to new objects blocking the line of sight, and radio interference due to reuse of radio resources and from other client devices.

The objective is to improve the mission critical dedicated 5G network’s reliability and availability for demanding use-cases by applying modern ML algorithms and stream-analytics for QoS /SLA monitoring and prediction.

The goal of this challenge is to:

  1. Leveraging probe technologies to design and develop the collection of real time signaling information and measurements between Radio and Baseband units in the 5G ENCQOR lab to prepare stream processing for Anomaly detection
  2. Design and develop an architecture for ultra-low latency stream processing framework/platform for ML on mission critical dedicated 5G networks.
  3. Development of ultra-low latency data pipelines to collect in near-real time signaling information and measurements between Radio, Baseband, Core, and UE as identify in #1.
  4. Demonstrate the framework/platform on 5G ENCQOR.

For best-effort services this is normally not a problem. When utilizing the 5G capabilities in-full, also the applications need to be “at the edge” to mitigate latency in the transport and compute infrastructure.

Project Partner:

Ericsson Canada Inc.


9-12 months starting in 21Q1

Available Funding:

Up to 500 000$ CAD

Applicant Type:

SME with less 500 employees registered in Quebec


At SME location in Quebec with 5G testing in one of ENCQOR 5G Hubs in MTL or QC

Project Details:

Sub millisecond Stream Processing Framework on ENCQOR 5G Network

Project Goals/Outcomes:

Fully demonstrable ultra-low latency stream processing solution with associated benchmark results and recommendations where applicable for the following:

  • Ultra-low latency data pipelines
  • Execution of ML models within the stream processing solution

Applicant Capabilities:

  • Experience Software development and data engineering in mission critical applications.
  • Work with 5G systems and delivery experience of end-to-end applications.
  • Experience with real-time data collection & data lakes

How to participate:

  • Each SME interested to participate to this challenge must have an Encqor iPaaS access (free) in order to understand the 5G technological stacks they will work with for the challenge. SMEs with no iPaaS access need to apply here and select ‘Ericsson call for project : Sub millisecond Stream Processing Framework’ in the first drop down menu
  • Selected SMEs will be invited to discuss with the project owner to insure a speedy selection process

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