Dynamic Cell-to-Pod Assignment to Reduce Network Resource Waste
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communication systems, network resources are often wasted due to pods having more resources than needed for accessing specific services, leading to inefficiencies and reduced processing speeds.
Innovation Solution
Systems and methods dynamically assign and redistribute network resources to pods, slices, and resource pools, utilizing machine learning algorithms to optimize resource allocation and reduce waste, enabling efficient utilization during maintenance windows and peak times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pods are allocated fixed network resources, then reliability is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation where the network resource pool is not statically bound to pods but can be flexibly reassigned based on real-time service requirements. The system dynamically adjusts which cells and network resources are allocated to which pods, transforming the rigid fixed allocation into a flexible dynamic system that maintains reliability while eliminating waste.
Solution Approach 2:
The patent creates a universal network resource pool that can serve multiple pods and services. Instead of dedicating specific resources to specific pods, the system establishes a shared resource pool that can be allocated to any pod needing service access, making the resources multi-functional and adaptable to different service requirements.
2Productivity
If more network resources are allocated to pods, then service access capability is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent changes the allocation parameters from fixed static values to dynamic variable values. The system monitors service access requirements and adjusts the number of cells and network resources allocated to pods in real-time, increasing resources when service capability needs improve and reducing allocation when full resources are not needed, thus avoiding waste.
Solution Approach 2:
The system implements self-service mechanisms where pods can request network resources from the shared pool based on their actual service needs, and the system automatically allocates appropriate resources without over-provisioning. This self-regulating mechanism ensures pods get sufficient resources for service access while avoiding unnecessary resource consumption.
3Loss of energy
If network resources are dynamically reassigned, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces a network resource management system as an intermediary between the network resources and pods. This intermediary maintains the mapping relationships between cells and pods, manages the shared resource pool, and handles the dynamic allocation logic, thereby simplifying the overall system architecture while enabling complex dynamic resource reassignment.
Solution Approach 2:
The system implements feedback mechanisms that monitor network resource usage, service access requirements, and pod performance. This feedback information is used to automatically adjust resource allocations in real-time, enabling the system to optimize resource utilization without requiring complex manual management or centralized control of every allocation decision.
Data Source
AI summary
An apparatus comprises a memory and a processor communicatively coupled to one another. The memory may comprise information on network resources and one or more cell identifiers (IDs). The processor may be configured to determine whether the one or more network resources are unassigned, determine that the one or more network resources are available for allocation to the one or more cell IDs in response to determining that the one or more network resources are unassigned, divide the one or more network resources into first network resources and second network resources, assign the first network resources to first cell IDs, and assign the second network resources to second cell IDs. Further, the processor is configured to generate a first pod in the one or more containerized clusters comprising the first cell IDs and generate a second pod in the one or more containerized clusters comprising the second cell IDs.