Scheduling Request Resource Selection in Wireless Networks
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Solution Overview
Problem
In wireless communication networks, scheduling requests from user equipment (UE) to network base stations often face delays or are dropped due to resource collisions and prioritization issues, leading to inefficient allocation of uplink resources.
Innovation Solution
The method involves allowing the physical layer to control the selection of resources for transmitting scheduling requests, using a timer to manage re-attempts and resource allocation, and coordinating with the higher layer to ensure successful transmission without relying on higher-layer re-delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the higher layer (MAC) controls resource selection for scheduling requests, then the resource allocation follows standardized procedures, but the scheduling request may be dropped due to resource collisions with lower layer control traffic
Solution Approach 1:
The patent segments the resource selection control between higher layer (MAC) and lower layer (PHY), where MAC provides candidate resources and PHY selects the actual transmission resource. This segmentation allows PHY to avoid collisions with PHY control traffic while MAC maintains overall resource management, resolving the contradiction between standardized allocation and collision avoidance.
Solution Approach 2:
The patent introduces an intermediary mechanism where the lower layer acts as a mediator between the higher layer's resource allocation decisions and the actual transmission. The lower layer receives resource indications from MAC, evaluates them against PHY control traffic, and selects appropriate resources, preventing SR dropping due to collisions.
2Reliability
If the lower layer (PHY) controls resource selection for scheduling requests, then resource collisions with PHY control traffic are avoided, but the complexity of resource management increases
Solution Approach 1:
The patent segments the complex resource selection task into two parts: MAC provides candidate resources based on higher layer policies, and PHY selects the final resource based on instantaneous traffic conditions. This segmentation reduces the complexity burden on each layer while improving overall reliability.
Solution Approach 2:
The patent applies preliminary action by having MAC pre-determine candidate resources before PHY makes the final selection. This preliminary resource indication from MAC reduces the decision space for PHY, lowering PHY's computational complexity while still allowing collision avoidance.
3Reliability
If scheduling requests use dedicated PUCCH resources, then SR transmission is reliable, but these resources cannot be used for other control information like CSI or HARQ-ACK
Solution Approach 1:
The patent introduces dynamic resource selection where PHY control traffic (CSI, HARQ-ACK) can dynamically influence the SR resource selection. When PHY control traffic is detected, PHY can select alternative resources for SR, making the resource allocation dynamic and adaptable rather than static and dedicated.
Solution Approach 2:
The patent changes the resource allocation parameter from fixed/dedicated to variable/selected based on traffic conditions. PHY monitors control traffic parameters and adjusts the SR resource selection accordingly, allowing the same time-frequency resources to serve multiple purposes depending on instantaneous conditions.
4Reliability
If MAC layer prioritization is used between SR and PUSCH, then SR de-prioritization is reduced, but MAC is unaware of PHY layer control traffic collisions
Solution Approach 1:
The patent adds another dimension to prioritization by introducing PHY layer awareness and control. Instead of only MAC layer prioritization (one dimension), the system now has cross-layer coordination where PHY can detect collisions with PHY control traffic and adjust resource selection, creating a two-dimensional prioritization mechanism.
Solution Approach 2:
The patent implements feedback mechanisms where PHY monitors control traffic conditions and feeds this information back to the resource selection process. This feedback loop allows PHY to inform MAC about potential collisions, enabling MAC to make informed prioritization decisions while maintaining awareness of PHY layer conditions.
Data Source
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AI summary
The present disclosure inter alia relates to an apparatus configured for performing a method, the method comprising: delivering, from a higher layer to a lower layer, an instruction to transmit a scheduling request; and at least partially controlling, by the lower layer, a selection of one or more resources for transmitting the scheduling request.