Resource Allocation for Communication and Sensing Services
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently allocating resources between communication and sensing services, especially when there are not enough resources to meet the demands of all services, leading to bottlenecks and inefficient use of shared resource pools.
Innovation Solution
An apparatus and method that determine metric values for communication and sensing services using predefined rules, sort these services based on their metric values, and allocate resources accordingly, allowing for flexible scheduling and prioritization to ensure proportional allocation of resources based on their importance and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are allocated to meet the demands of all communication and sensing services, then service quality is improved, but resource scarcity leads to bottlenecks and inefficient use of shared resource pools
Solution Approach 1:
The patent changes the parameter of resource allocation from equal or static allocation to dynamic allocation based on calculated metric values. The metric values are computed using predefined sets of rules that consider service-specific parameters, enabling the system to adapt resource distribution to current demands and conditions, thereby resolving the contradiction between meeting service quality requirements and improving resource allocation efficiency
Solution Approach 2:
The patent introduces dynamic resource allocation where the allocation decisions are made based on real-time metric values that reflect current service demands and resource conditions. The sorting of services based on metric values creates a dynamic prioritization mechanism that adapts to changing conditions, allowing the system to efficiently allocate limited resources while maintaining service quality
2Ease of operation
If resources are allocated using static or equal distribution methods, then allocation simplicity is maintained, but resource utilization efficiency deteriorates due to inability to prioritize services based on their importance and relevance
Solution Approach 1:
The patent implements a self-service mechanism where the resource allocation system automatically calculates metric values for each service using predefined rules and autonomously prioritizes services based on these metrics. This eliminates the need for complex manual allocation decisions while improving resource utilization efficiency through data-driven prioritization, resolving the contradiction between operational simplicity and utilization efficiency
Data Source
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AI summary
An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processor, cause the apparatus at least to perform determining, per a communication service to which resources are to be allocated, a metric value using a first predefined set of rules, determining, per a sensing service to which resources are to be allocated, a metric value using a second predefined set of rules, sorting communication services to which resources are to be allocated and sensing services to which resources are to be allocated based on the metric values to a sorted order using a third rule, and allocating resources for the communication services and the sensing services based on the sorted order.