Spectral Resource Allocation via QUBO Optimization

Solution Overview

Problem

The existing methods for allocating spectral resources in mobile communication networks face challenges due to limited spectral capacity and varying requirements of mobile applications, leading to potential overloading or insufficient resource allocation.

Innovation Solution

A method that involves a scheduler determining the minimum of an overall cost function, which sums cost values related to each mobile application, to optimally allocate spectral resources by transforming the cost function into a Lagrange function and then a quadratic unconstrained binary optimization (QUBO) format, ensuring efficient distribution of resources based on operational modes and constraints like spectral capacity and exclusivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If spectral resources are allocated to mobile applications based on traditional scheduling methods, then the radio access point can serve multiple applications, but the spectral capacity is limited and allocations may be insufficient or oversized leading to overloading

Engineering Contradiction:

Improveadaptability to varying spectral requirementsVSAvoidreliability of spectral allocation

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements dynamic spectral resource allocation by continuously monitoring the actual spectral consumption of mobile applications and adjusting allocations in real-time. The scheduler adapts to changing operational modes and environmental conditions, transforming static allocation into a dynamic process that responds to actual network conditions and application requirements.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system establishes a feedback loop where the scheduler receives information about actual spectral consumption from mobile applications and uses this feedback to optimize future allocations. By monitoring spectral usage patterns and performance metrics, the scheduler continuously refines allocation decisions to prevent both overloading and insufficient resource allocation.

Inventive Principle:

Principle #23Feedback

2Reliability

If traditional scheduling methods are used to allocate spectral resources, then the system is simple to operate, but the spectral requirements of mobile applications vary strongly causing overloading or insufficient allocation

Engineering Contradiction:

Improvereliability of spectral allocationVSAvoidcomplexity of scheduling system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an optimization service as an intermediary between the scheduler and mobile applications. This intermediary layer handles the complex calculations and decision-making processes, receiving spectral consumption data from applications and providing optimized allocation decisions to the scheduler, thereby isolating the complexity from the core scheduling mechanism.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system dynamically changes allocation parameters based on monitored spectral consumption patterns and application performance requirements. By adjusting allocation parameters in response to changing conditions, the system achieves reliable spectral allocation without requiring a fundamentally complex scheduling architecture.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If spectral resources are allocated to ensure normal operation of mobile applications, then the applications can function properly, but the amount of spectral resources required is very volatile among different applications and during wireless connections

Engineering Contradiction:

Improvereliability of spectral allocationVSAvoidadaptability to volatile spectral requirements

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic spectral resource allocation by continuously monitoring the actual spectral consumption of mobile applications and adjusting allocations in real-time. The scheduler adapts to changing operational modes and environmental conditions, transforming static allocation into a dynamic process that responds to actual network conditions and application requirements.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system establishes a feedback loop where the scheduler receives information about actual spectral consumption from mobile applications and uses this feedback to optimize future allocations. By monitoring spectral usage patterns and performance metrics, the scheduler continuously refines allocation decisions to prevent both overloading and insufficient resource allocation.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11800366B2Method for allocating a spectral resource of a radio cell using an edge cloud server

Publication Date: 2023.10.24 DEUTSCHE TELEKOM AG

AI summary

A method for allocating a spectral resource of a radio cell of a mobile communication network to a mobile application includes: establishing, by the mobile application, a wireless connection to an application backend via a radio access point of the radio cell of the mobile communication network; and allocating, by a scheduler of the mobile communication network, the spectral resource of the radio cell to the established wireless connection. An optimization service requested by the scheduler determines a minimum of an overall cost function, the overall cost function summing a plurality of cost values, wherein each cost value is related to a respective mobile application connected to the radio access point. The scheduler allocates the spectral resource depending on the determined minimum of the overall cost function.