Dynamic Time-Frequency Resource Partitioning for Wireless Traffic
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Solution Overview
Problem
In wireless communication systems, particularly in Integrated Access and Backhaul (IAB) networks, resource allocation is complex due to considerations such as potential reuse issues and neighboring cell interference, especially when distinguishing between control and data traffic types, which can impact performance and efficiency.
Innovation Solution
Implementing a method where resources are dynamically allocated and repurposed based on traffic types, with a centralized scheduler or a group of access nodes allocating specific time-frequency resources for control or data traffic, and allowing for repurposing of resources if unscheduled control traffic is detected, to optimize resource usage and minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If time-frequency resources are allocated specifically for control traffic or data traffic, then performance guarantee for specific link types is improved, but resource utilization flexibility deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation where time-frequency resources can be repurposed between control traffic and data traffic based on real-time conditions. The system transitions from static dedicated allocation to dynamic shared allocation, allowing a resource allocated for control traffic to be reassigned to data traffic when control traffic volume decreases, thereby maintaining performance guarantees while improving resource flexibility.
Solution Approach 2:
The system changes the allocation parameters of time-frequency resources based on traffic conditions. When control traffic volume is high, more resources are allocated to control traffic; when control traffic volume is low, resources are reallocated to data traffic. This parameter adjustment allows the system to adapt resource distribution to actual demand while maintaining minimum performance levels for both traffic types.
2Productivity
If resources are dynamically allocated and repurposed based on traffic types, then resource efficiency is improved, but resource allocation complexity increases
Solution Approach 1:
The system implements self-service resource allocation where access nodes autonomously detect control traffic volumes and make decisions about resource repurposing without requiring constant centralized control. Each node monitors its own traffic conditions and can independently reallocate resources, reducing the complexity of centralized coordination while maintaining high resource efficiency through distributed intelligence.
Solution Approach 2:
The patent employs feedback mechanisms where access nodes continuously monitor control traffic volumes and use this information to adjust resource allocation decisions. This closed-loop feedback allows the system to automatically respond to changing traffic conditions, optimizing resource efficiency while keeping the control logic simple through rule-based responses to traffic metrics.
3Reliability
If specific time-frequency resources are allocated for control traffic, then control traffic performance is improved, but data traffic resource availability deteriorates
Solution Approach 1:
The system dynamically adjusts the boundary between control and data traffic resource allocation based on real-time control traffic volume. When control traffic is heavy, more time-frequency resources are dedicated to control traffic to ensure reliable control signaling. When control traffic lightens, the system repurposes those resources to data traffic, thereby maintaining control performance when needed while maximizing data throughput when control demands are low.
Solution Approach 2:
The system allocates partial resources to control traffic based on actual needs rather than reserving excessive resources in advance. By using partial allocation that adapts to actual control traffic volume, the system ensures sufficient control performance when needed while leaving more resources available for data traffic during low-control periods, avoiding the waste of over-allocating to control traffic.
Data Source
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AI summary
Methods, systems, and devices for wireless communications are described that provide for partitioning of time-frequency resources for types of traffic separately. A centralized scheduler in a centralized system or a set of access nodes (ANs) in a distributed system may allocate a portion of a set of resources for a first traffic type (e.g., control or data traffic). In some cases, multiple ANs may exchange reports or measurements to determine the resources to allocate to a given traffic type. The allocated resources may be repurposed for use by a different traffic type (e.g., data traffic resources may be repurposed an used for control traffic resources) in order to account for varying traffic conditions (e.g., unscheduled control traffic).