Dynamic UL-DL Resource Splitting for Adaptive TDD Scheduling
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Solution Overview
Problem
Current 5G and emerging 6G communication networks face inefficiencies in handling dynamic and variable traffic patterns, particularly for use cases like XR and URLLC, due to fixed TDD patterns that require explicit signaling and do not adapt to changing traffic demands, leading to resource wastage and interference issues.
Innovation Solution
A mechanism for dynamically splitting resources between uplink and downlink transmissions using joint DCI, allowing flexible allocation based on traffic conditions and buffer status, enabling adaptive TDD patterns without fixed segregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed TDD patterns are used for resource allocation, then resource allocation is simple and stable, but the system cannot adapt to dynamic traffic patterns leading to resource wastage
Solution Approach 1:
The patent implements dynamic TDD pattern adaptation where the network node can change the TDD pattern configuration based on detected traffic conditions. The system transitions from static fixed patterns to dynamic adjustable patterns, allowing the uplink-downlink resource distribution to adapt real-time to traffic demands while maintaining manageable complexity through automated detection and adjustment mechanisms
Solution Approach 2:
The patent changes the TDD pattern parameters (specifically the distribution of uplink and downlink slots) based on detected traffic conditions. When uplink traffic is detected, the system adjusts the TDD pattern to allocate more uplink resources, and when downlink traffic is detected, it allocates more downlink resources, thereby adapting to dynamic traffic patterns without excessive complexity
2Productivity
If dynamic TDD patterns are implemented to adapt to traffic variations, then resource utilization improves, but system complexity and signaling overhead increase
Solution Approach 1:
The patent implements a self-service mechanism where the network node automatically detects traffic conditions and adjusts TDD patterns without requiring complex external control or extensive signaling. The system monitors its own traffic patterns and autonomously adapts resource allocation, improving resource utilization while minimizing the complexity of control mechanisms by eliminating the need for complex centralized coordination
Solution Approach 2:
The patent employs feedback mechanisms where the network node continuously monitors traffic conditions and uses this information to adjust TDD patterns dynamically. The feedback loop enables the system to respond to changing traffic demands in real-time, improving resource utilization efficiency while keeping the control complexity manageable through automated feedback-driven adjustment
3Reliability
If explicit signaling is used to coordinate TDD patterns between network nodes, then interference coordination is improved, but latency increases due to constant signaling requirements
Solution Approach 1:
The patent extracts the TDD pattern coordination function from explicit signaling mechanisms and implements it through autonomous network node behavior. Instead of relying on continuous explicit signaling between nodes to coordinate patterns, each node independently adapts to traffic conditions, eliminating the need for constant signaling exchange and reducing latency while maintaining reliable interference coordination through distributed adaptation
4Productivity
If static resource allocation is used for uplink and downlink, then resource management is simplified, but resource wastage occurs when traffic volume varies
Solution Approach 1:
The patent transforms static resource allocation into dynamic allocation where the proportion of uplink and downlink resources is continuously adjusted based on detected traffic conditions. The system maintains simplicity by using automated detection and adjustment, achieving high resource efficiency through dynamic adaptation without requiring complex manual resource management procedures
Data Source
AI summary
Embodiments herein relate to, for example, a method performed by a network node (12) for handling communication of a user equipment, UE, (10) in a communication network. The network node (12) transmits an indication to the UE (10), wherein the indication indicates a dynamically splitting of resources between jointly allocated common resources for one or more uplink, UL, transmissions and/or one or more downlink, DL, transmissions.