Conditional Release of Soft Time Resources in IAB Networks
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing soft time resources in integrated access and backhaul networks, particularly in ensuring flexible scheduling and resource sharing while maintaining spectral efficiency.
Innovation Solution
The method involves configuring whether a set of soft time resources is to be conditionally released or unconditionally released in an integrated access and backhaul network, allowing for schedulable states with directionality constraints and additional conditions, thereby enhancing resource utilization and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If soft time resources are unconditionally released, then resource utilization and scheduling flexibility are improved, but spectral efficiency and network control are worsened
Solution Approach 1:
The patent introduces dynamic release conditions that allow the network to adaptively control soft time resource allocation. Instead of unconditional release, the system implements conditional release mechanisms where resources are released based on configurable conditions (e.g., directional constraints, traffic patterns), enabling the network to balance flexibility and spectral efficiency dynamically
Solution Approach 2:
The patent changes the parameter of resource release from unconditional to conditional, introducing new control dimensions. By configuring release conditions as parameters (such as directional constraints or traffic-based conditions), the system can adjust resource allocation behavior to optimize both spectral efficiency and scheduling flexibility according to network state
2Loss of energy
If soft time resources are conditionally released with multiple conditions, then spectral efficiency is improved, but device complexity and scheduling overhead are worsened
Solution Approach 1:
The patent segments the release condition configuration into distinct types (e.g., directional constraints, traffic-based conditions). This segmentation allows the complex conditional release mechanism to be managed through modular condition definitions, reducing the cognitive load on the scheduling entity while maintaining spectral efficiency
Solution Approach 2:
The system implements feedback mechanisms where the scheduling entity monitors network conditions and adjusts release configurations accordingly. By using feedback from network state information, the system can optimize spectral efficiency while managing complexity through adaptive configuration rather than static complex rules
3Object-affected harmful factors
If directional constraints are applied to released resources, then interference control is improved, but scheduling flexibility is worsened
Solution Approach 1:
The patent applies local quality by implementing directional constraints specifically on the spatial characteristics of resource release. Instead of uniform release, the system applies directionality conditions to control interference patterns in specific spatial directions, allowing flexibility in time resources while controlling harmful interference through localized spatial constraints
Data Source
AI summary
In some aspects, a node may configure whether a set of soft time resources is to be conditionally released or unconditionally released. The set of soft time resources may be configurable in a schedulable state or a non-schedulable state. The set of soft time resources may be schedulable subject to at most a directionality constraint when unconditionally released and, when conditionally released, being schedulable subject to: the directionality constraint and one or more conditions other than the directionality constraint if the set of soft resources is configured subject to the directionality constraint, or at least one of the directionality constraint or the one or more conditions other than the directionality constraint if the set of soft resources is not configured subject to the directionality constraint. The node may transmit a configuration that indicates whether the set of soft time resources is conditionally released or unconditionally released in the schedulable state.