Grant-Free Resource Allocation via Assistant Information
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Solution Overview
Problem
Current wireless communication networks face inefficiencies in resource allocation, particularly in grant-free scenarios where optimal allocation is not consistently achieved.
Innovation Solution
The implementation of apparatuses and methods for grant-free resource allocation, where remote units transmit assistant information to base units to facilitate efficient resource configuration, allowing for better allocation without traditional grants, using techniques such as SC-FDMA and OFDM modulation schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional grant-based resource allocation is used, then resource allocation control is maintained, but resource allocation efficiency and responsiveness to traffic demands deteriorate due to signaling overhead and latency
Solution Approach 1:
The patent extracts the grant signaling step from the traditional resource allocation process, allowing UEs to transmit uplink data without receiving a grant first. This removes the signaling overhead and latency associated with grant-based allocation while maintaining resource allocation control through alternative mechanisms like configured grants and random access channels.
Solution Approach 2:
The patent implements configured grants where resource allocations are pre-configured and assigned to UEs in advance. This preliminary action eliminates the need for real-time grant signaling when UEs need to transmit data, as they can directly use the pre-allocated resources based on their traffic demands.
2Productivity
If grant-free resource allocation is implemented, then resource allocation efficiency improves, but resource allocation precision and control deteriorate
Solution Approach 1:
The patent implements feedback mechanisms where UEs report channel state information, buffer status, and other metrics to the base station. This feedback enables the base station to monitor and adjust resource allocations dynamically, maintaining precision and control even in grant-free scenarios where traditional grant signaling is eliminated.
Solution Approach 2:
The patent enables dynamic resource allocation where pre-configured grants can be activated, deactivated, or modified based on real-time traffic demands and channel conditions. This dynamic approach maintains allocation precision by adapting resource assignments to current network conditions rather than using static allocations.
3Adaptability or versatility
If remote units dynamically select resources based on traffic demands, then adaptability improves, but resource allocation optimization deteriorates due to lack of centralized control
Solution Approach 1:
The patent implements a hybrid resource allocation framework that combines both autonomous UE-based selection and base station-controlled allocation. This multi-functional approach allows the system to operate in grant-free mode for efficiency while maintaining the option for grant-based allocation when optimization is needed, serving multiple operational modes within a single system.
Solution Approach 2:
The patent introduces configured grants as an intermediary mechanism that bridges autonomous UE resource selection and base station control. The base station pre-configures resource pools and parameters, acting as an intermediary that enables UE autonomy while maintaining overall system optimization through centralized configuration and monitoring.
Data Source
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AI summary
Apparatuses, methods, and systems are disclosed for grant-free resource allocation. One apparatus (200) includes a transmitter (210) that transmits (602) assistant information to a base unit (104) to assist in grant-free resource allocation. In such an apparatus, the assistant information may include an expected type of resource, a bit rate requirement, reliability information, or some combination thereof.