Dynamic UL-DL Resource Allocation for Uplink Bottlenecks
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Solution Overview
Problem
5G uplink (UL) performance is limited in certain conditions, such as when user equipment (UE) generates significant UL traffic, has limited coverage, or engages in mobile edge compute scenarios, leading to bottlenecks that can affect satellite communications and limit the use of services like emergency services.
Innovation Solution
UE dynamically increases UL resources by requesting additional resources from the network based on UL traffic conditions, application requirements, and key performance indicators, such as latency and power conditions, without degrading downlink (DL) performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uplink resources are increased to improve UL performance, then uplink throughput is improved, but downlink performance may be degraded due to resource reallocation
Solution Approach 1:
The patent implements dynamic resource allocation where the network device adjusts uplink and downlink resource proportions based on real-time traffic conditions, application requirements, and user preferences. This allows the system to adaptively optimize uplink throughput when needed while maintaining downlink performance through conditional resource reallocation only when downlink usage is below threshold levels.
Solution Approach 2:
The system changes resource allocation parameters dynamically by evaluating multiple conditions including uplink traffic volume, downlink usage thresholds, application requirements, and user preferences. Resource reallocation is triggered only when specific parameter thresholds are met, ensuring uplink performance improvement without compromising downlink service quality.
2Loss of time
If resources are reallocated to enhance UL performance, then latency is reduced, but system complexity increases due to dynamic resource management
Solution Approach 1:
The patent implements feedback mechanisms where the network device receives information about uplink traffic conditions, application requirements, and user preferences, then adjusts resource allocation accordingly. This closed-loop control system reduces latency by responding to actual network conditions while managing complexity through structured feedback processing and threshold-based decision making.
Solution Approach 2:
The system performs preliminary evaluations of multiple conditions (uplink traffic volume, downlink usage thresholds, application requirements, user preferences) before triggering resource reallocation. This preliminary assessment framework reduces unnecessary resource changes and simplifies management by establishing clear trigger conditions for when latency reduction actions should be taken.
3Adaptability or versatility
If dynamic resource allocation is implemented to meet application needs, then service adaptability is improved, but energy consumption increases due to continuous monitoring and adjustment
Solution Approach 1:
The patent applies different resource allocation strategies to different services and applications based on their specific requirements. Critical services receive preferential treatment with more aggressive resource allocation, while non-critical services use standard allocation. This localized quality approach improves service adaptability without uniformly increasing energy consumption across all services.
Solution Approach 2:
The system implements partial resource reallocation only when specific conditions are met (uplink traffic exceeds threshold, downlink usage is below threshold, application requires it, user prefers it). This partial action approach provides service adaptability where needed while avoiding unnecessary energy consumption from continuous full-scale resource adjustments.
Data Source
AI summary
The techniques described herein may include solutions for enabling a user equipment (UE) to monitor downlink (DL) traffic of an application or wireless link, detect an increase in DL traffic, and communicate with a base station, satellite, etc. to dynamically increase DL resources. The increase in DL resource can include a change in the number of DL slots per frame. The UE can determine the DL requirements of the application, assess a current usage of DL resources, verify that uplink (UL) resources are underused, and more. DL performance can be increased without a meaningful decrease in UL performance, as the increase in DL resources can be achieved by a corresponding decrease in UL resources.