Time Domain Resource Allocation With Flexible Scheduling Offsets
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing resource allocation in high-frequency time domain for optimal data transmission, particularly in heterogeneous networks with varying traffic loads and device capabilities, leading to suboptimal performance and increased latency.
Innovation Solution
Implementing a flexible resource allocation mechanism that adapts to network conditions, device capabilities, and traffic characteristics, utilizing advanced protocol stacks and modular configurations to optimize bandwidth and scheduling across multiple technologies and releases, including New Radio (NR) and LTE.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional resource allocation methods are used in high-frequency time domain, then system compatibility is maintained, but data transmission efficiency deteriorates and latency increases
Solution Approach 1:
The patent implements dynamic resource allocation by introducing flexible slot configuration and dynamic resource allocation types that adapt to real-time network conditions. The system can dynamically switch between different resource allocation modes (type 0, type 1, type 2) based on traffic characteristics, enabling optimized data transmission efficiency and reduced latency while maintaining compatibility with existing systems.
Solution Approach 2:
The patent changes key parameters including slot configuration (number of slots, slot duration), resource allocation type, and mapping patterns to optimize high-frequency time domain resource allocation. By adjusting these parameters dynamically, the system achieves improved productivity while managing time loss through optimized scheduling intervals and resource assignment.
2Productivity
If flexible resource allocation is implemented to optimize performance, then data transmission efficiency improves, but system complexity increases
Solution Approach 1:
The patent segments resource allocation into distinct types (type 0, type 1, type 2) with specific functions, allowing the system to manage complexity through modular design. Each allocation type handles specific scenarios, making the overall complex system manageable through clear segmentation of responsibilities and functions.
Solution Approach 2:
The patent creates a universal resource allocation framework that can handle multiple scenarios through a single flexible mechanism. The same basic structure supports different allocation types and configurations, reducing overall system complexity by avoiding the need for separate dedicated systems for each scenario.
3Loss of time
If dynamic resource allocation is used to adapt to varying traffic loads, then latency is reduced, but control overhead increases
Solution Approach 1:
The patent applies partial action by implementing dynamic resource allocation only where and when needed, rather than universally across all scenarios. The system can select appropriate allocation types based on traffic characteristics, applying complex dynamic allocation only when beneficial, thereby reducing overall control overhead while maintaining low latency performance where required.
Data Source
AI summary
A wireless device may receive one or more configuration parameters comprising a first field indicating entries of a time domain resource allocation table and a second field indicating one or more scheduling offsets. Each entry of the entries comprises a respective slot offset. The wireless device may receive downlink control information (DCI) indicating a first entry of the entries and a first scheduling offset of the one or more scheduling offsets. The wireless device may determine a first slot based on a slot offset of the first entry and the first scheduling offset. The wireless device may receive downlink data in the first slot.