dashAlpha®

dashAlpha 5G/Satellite Integration - 5G Hub at Harwell

STATUS | Completed
STATUS DATE | 05/02/2026
ACTIVITY CODE | 3A.190
dashAlpha®

Objectives

The dashAlpha project covers the delivery of a COTS-based, hardware-agnostic AI/ML-driven SD-WAN platform which is capable of bonding any combination of wireless and wired network bearers to create a single, secure, fault-tolerant and high-capacity network connection capable of supporting the uninterrupted use of real-time voice and video applications even during elective or non-elective degradation of network conditions.

The project also covers the employment of a high-level of automation to construct and repair individual bearer connections in the event of degradation non-availability, maximising the robustness of the bonded connection while minimising the administrative burden of the platform user. The project also employs machine learning to enhance the bonding behaviour of the platform by training the network using location-based telemetry.

Challenges

The development programme of dashAlpha focuses on three distinct challenges:

Satellite Communications Integration
Capturing telemetry from a satellite communications terminal in order to make satellite signal quality part of the bonding algorithm, in line with the current mechanisms used for wireless bearers such as 5G and WiFi.

Machine Learning
Applying machine learning to the dashAlpha platform to support pre-emptive and location-based decision-making regarding target state of each network bearer at a given location.

Management
Focus on the management of the infrastructural elements of the dashAlpha platform, specifically management of the bonding gateways and the Network Operations Centre.

System Architecture

Plan

The dashAlpha development programme is planned to last 10 months and is structured in three phases.

Phase 1 covers the integration of a satellite terminal with the dashAlpha platform to facilitate telemetry capture, in order to feed the bonding algorithm.

Phase 2 covers the building and training of a machine learning model to teach the dashAlpha network about the wireless environments dashAlpha units are deployed in.

Phase 3 covers additional management capability for the dashAlpha platform through the development of a central network controller and a gateway controller.

Current Status

The project has completed.