Centralized Radio Scheduling for Shared-Path Throughput Stability

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Solution Overview

Problem

Existing telecommunications networks face challenges in optimizing throughput capacity without requiring full provisioning of every network link, leading to high deployment costs and instability due to network traffic exceeding link capacity, especially with temporary disruptions.

Innovation Solution

A centralized controller obtains network topology information to generate updated scheduling capacities for radio devices, allowing underprovisioning while maintaining reliable service by adjusting scheduling based on shared network paths and temporary disruptions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If full provisioning of every network link is implemented to handle maximum utilization, then network stability and service reliability are improved, but deployment costs and infrastructure requirements increase significantly

Engineering Contradiction:
Improvenetwork stabilityVSAvoiddeployment cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The system dynamically adjusts scheduling capacities of radio devices based on real-time network conditions, traffic patterns, and topology changes. The centralized controller continuously monitors network state and reconfigures scheduling parameters to match actual demand, transitioning from static full provisioning to dynamic adaptive provisioning that maintains reliability while reducing infrastructure requirements

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The invention changes the parameter of scheduling capacity from a fixed maximum value to a dynamically adjusted value based on network topology and traffic conditions. By modifying scheduling capacity parameters in response to actual network state, the system achieves reliable service with reduced provisioning, resolving the contradiction between reliability and deployment cost

Inventive Principle:
Principle #35Parameter changes

2Productivity

If scheduling capacity is increased to meet peak demand, then service availability is improved, but network congestion and instability occur during temporary disruptions

Engineering Contradiction:
Improvethroughput capacityVSAvoidnetwork stability
Core Design Contradiction:
ProductivityVSStability of the object's composition

Solution Approach 1:

The centralized controller implements feedback mechanisms that monitor network traffic, link utilization, and disruption events in real-time. Based on this feedback, the controller adjusts scheduling capacities to prevent congestion during peak demand while maintaining stability during disruptions, resolving the contradiction between throughput capacity and network stability

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system prepares cushioning measures by pre-configuring alternative scheduling plans and capacity adjustments that can be activated during temporary disruptions. This beforehand preparation ensures that when disruptions occur, the network can maintain stability without having excessive provisioning that would cause congestion during normal operation

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

3Productivity

If new cell sites are added to increase network capacity, then throughput is improved, but supporting infrastructure requirements and deployment complexity increase

Engineering Contradiction:
Improvenetwork throughputVSAvoidinfrastructure complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The invention merges the functions of multiple radio devices that share common network paths into a coordinated cluster managed by the centralized controller. By combining and optimizing the scheduling of multiple devices sharing infrastructure, the system achieves increased throughput without proportionally increasing infrastructure requirements or deployment complexity

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The centralized controller implements a universal scheduling mechanism that can manage multiple radio devices and clusters with different topologies and traffic patterns using a single system. This multi-functional approach increases network throughput while avoiding the need for device-specific complex infrastructure, as the same controller and methodology handles diverse scenarios

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentEP4637211A1Throughput optimisation
Publication Date: 2025.10.22 IONX NETWORKS LTD
  • EP4637211A1 patent drawingFigure 1A
  • EP4637211A1 patent drawingFigure 1B
  • EP4637211A1 patent drawingFigure 1C

AI summary

A computer-implemented method for optimising throughput capacity in an telecommunications network, the telecommunications network comprising a core network, a centralised controller, one or more scheduler devices and a plurality of radio devices, the method comprising: obtaining, by the centralised controller, network topology information, wherein the network topology information comprises information on network paths between the core network, the one or more scheduler devices and the plurality of radio devices, wherein the one or more scheduler devices are operable to schedule operation of the plurality of radio devices based on a scheduling capacity for each of the plurality of radio devices, and wherein two or more of the plurality of radio devices share at least part of the same network path to the core network; generating, by the centralised controller and based on the network topology information, a cluster scheduling plan comprising an updated scheduling capacity for each of the plurality of radio devices, sending, by the centralised controller and to the one or more scheduler devices, the updated scheduling capacity for each of the plurality of radio devices.