Resource Allocation for Control Channel Using Delay Tolerance
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Solution Overview
Problem
Current resource allocation methods in wireless networks, such as those using constant or variable periodicity, face inefficiencies and resource collisions, which affect the quality of service and capacity in mobile networks, particularly for control channels like PUCCH in LTE networks.
Innovation Solution
The method involves assigning resources to resource groups based on delay tolerances and Quality of Service (QoS) parameters, using quantized periodicity to reserve resources effectively, thereby establishing a control channel that optimally allocates resources to user equipment (UEs) based on their specific needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If constant periodicity resource allocation is used, then resource allocation simplicity is improved, but resource collision increases and quality of service deteriorates
Solution Approach 1:
The patent applies parameter changes by transitioning from constant periodicity to variable periodicity in resource allocation. The base station dynamically adjusts the periodicity parameter based on channel conditions, buffer status, and QoS requirements, allowing the system to adapt resource allocation timing to actual network demands while avoiding resource collisions and maintaining service quality.
Solution Approach 2:
The patent implements dynamics by making resource allocation periodicity adjustable and adaptive rather than fixed. The system dynamically modifies allocation parameters in response to changing network conditions, enabling flexible resource distribution that prevents collisions while maintaining simplicity in the allocation mechanism through standardized adjustment rules.
2Reliability
If variable periodicity resource allocation is used, then quality of service is improved, but resource collision increases and allocation efficiency deteriorates
Solution Approach 1:
The patent uses parameter changes to optimize both QoS and efficiency by adjusting periodicity based on specific network conditions. Different periodicity values are selected according to service type, channel quality, and buffer status, enabling the system to achieve high QoS for critical services while maintaining efficient resource utilization overall through data-driven parameter selection.
Solution Approach 2:
The patent applies local quality by assigning different periodicity characteristics to different resource groups or user equipment based on their specific requirements. High-priority traffic receives allocations with periodicity optimized for reliability, while lower-priority traffic uses periodicity optimized for efficiency, allowing simultaneous optimization of both QoS and productivity in different parts of the system.
3Adaptability or versatility
If resources are allocated without grouping, then allocation flexibility is improved, but resource collision increases and system capacity deteriorates
Solution Approach 1:
The patent applies segmentation by dividing the resource space into distinct groups based on periodicity characteristics and QoS requirements. This segmentation prevents resource collisions by ensuring that resources with different allocation patterns are assigned to different groups, thereby increasing system capacity while maintaining flexibility within each group through independent allocation rules.
Solution Approach 2:
The patent uses parameter changes to enhance both flexibility and capacity by organizing resources according to their periodicity parameters. Resources are grouped by similar periodicity characteristics, allowing flexible allocation within groups while the structured grouping prevents inter-group collisions, thereby supporting higher system capacity without sacrificing adaptability.
Data Source
AI summary
Embodiments of the present disclosure include a method of resource allocation. The method includes assigning resources intended for a control channel of a mobile network to multiple resource groups. At least one resource group may include multiple resources, where the resources have at least an associated periodicity and an associated delay tolerance. The assignment may be based on the delay tolerances of the resources. The method further includes determining a composite delay tolerance of the resource groups based on the corresponding delay tolerances of the resources in the resource group. The method further includes reserving resources associated with the control channel for the resource groups based on the composite delay tolerance of the resource groups. The method further includes establishing the control channel with a user equipment (UE), where the control channel is established using the reserved resources.