Dynamic Network Resource Assignment for Efficient Pod Allocation

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Solution Overview

Problem

In wireless communication systems, network resources are often wasted due to pods having more resources than needed for specific services, leading to inefficiencies and increased processing times.

Innovation Solution

Systems and methods dynamically assign and redistribute network resources to pods, resource pools, and slices, utilizing machine learning algorithms to optimize resource utilization and reduce waste, enabling efficient access to services during maintenance windows and peak times.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If pods are allocated fixed network resources, then resource availability is guaranteed, but resource utilization efficiency deteriorates due to over-provisioning

Engineering Contradiction:
Improveresource availabilityVSAvoidresource utilization efficiency
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent implements dynamic resource allocation where network resources are not fixed to pods but are continuously adjusted based on real-time monitoring of resource usage metrics. The system monitors pod performance and dynamically assigns or reassigns network resources (such as spectrum, power, memory) to match actual demand, transforming the static allocation model into a dynamic one that adapts to changing conditions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the allocation parameters of network resources based on monitored performance metrics. When pods exhibit under-utilization of assigned resources, the system modifies the resource allocation parameters by reducing the assigned amounts. Conversely, when resource demand increases, the parameters are adjusted upward. This parameter-based control enables flexible adaptation without rigid fixed allocations.

Inventive Principle:
Principle #35Parameter changes

2Loss of energy

If network resources are reassigned dynamically, then resource utilization efficiency is improved, but system complexity increases

Engineering Contradiction:
Improveresource utilization efficiencyVSAvoidsystem complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent implements a self-service mechanism where the system automatically monitors its own resource usage and performs reassignment without external intervention. The monitoring component detects when pods are under-utilizing resources, and the control system automatically reassigns these resources to other pods that need them. This automation reduces the need for complex manual management while achieving efficient resource utilization.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system employs feedback loops where resource usage metrics from pods are continuously monitored and fed back to the control system. Based on this feedback, the system determines whether reassignment is needed and executes the appropriate actions. This feedback mechanism simplifies the control logic by relying on observed performance data rather than complex predictive models, making the system more manageable despite the dynamic nature of resource allocation.

Inventive Principle:
Principle #23Feedback

3Reliability

If resource reassignment occurs during maintenance windows, then service disruption is minimized, but reassignment flexibility is reduced

Engineering Contradiction:
Improveservice continuityVSAvoidreassignment flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system performs resource reassignment during pre-scheduled maintenance windows, which are planned in advance. By conducting reassignment operations during these predetermined intervals, the system ensures that resource reallocation happens when service disruption is already expected and acceptable. This preliminary scheduling of maintenance activities allows the system to maintain service continuity while still providing opportunities for flexible reassignment when needed.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250261044A1Dynamic assignment of network resources to resource pools in pods
Publication Date: 2025.08.14 BOOST SUBSCRIBERCO LLC
  • US20250261044A1 patent drawing
  • US20250261044A1 patent drawing
  • US20250261044A1 patent drawing

AI summary

An apparatus comprises a memory and a processor communicatively coupled to one another. The memory may comprise information on one or more network resources. The processor may be configured to determine that one or more network resources are available for allocation to a first resource pool and a second resource pool in response to determining that the one or more network resources are unassigned, determine first network resources of the one or more network resources configured to enable first layer operations, and determine second network resources of the one or more network resources configured to enable second layer operations. Further, the processor may be configured to assign the first network resources to the first resource pool, assign the second network resources to the second resource pool, generate a first pod comprising the first resource pool, and generate a second pod comprising the second resource pool.