Wireless Resource Allocation by UE Capability Under Congestion

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Solution Overview

Problem

Wireless networks face challenges in managing devices with limited capabilities, such as those with two receive antennas, as conventional methods either exclude them or allow access without mitigating the impact on network performance.

Innovation Solution

A system and method for network resource allocation that allocates fewer radio resources to UEs with limited capabilities based on their capabilities and trigger conditions, such as accessing a band or node requiring higher capabilities or high congestion, by implementing mitigating resource allocation strategies like reducing QoS or assigning lower-priority network slices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If wireless networks allow devices with limited capabilities to access the network, then device accessibility and inclusivity are improved, but network performance and service quality for higher-capability devices deteriorate

Engineering Contradiction:
Improvedevice accessibilityVSAvoidnetwork performance
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent applies local quality by assigning different resource allocation strategies to different devices based on their specific capabilities. Devices with limited capabilities (e.g., two receive antennas) receive differentiated resource allocation compared to devices with higher capabilities, allowing the network to accommodate diverse device types while maintaining optimal performance for each category.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes resource allocation parameters dynamically based on device capability assessment. By evaluating device parameters such as number of receive antennas and adjusting resource allocation accordingly, the network can adapt resource distribution to match device capabilities, preventing over-allocation to limited-capability devices while ensuring adequate access.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If fewer radio resources are allocated to lower-capability UEs, then service quality for higher-capability UEs is maintained, but resource allocation complexity increases

Engineering Contradiction:
Improveservice qualityVSAvoidresource allocation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the UE population into different capability categories (e.g., full capability vs. reduced capability devices). This segmentation allows the network to apply simplified resource allocation rules to each segment rather than managing continuous capability variations, reducing overall allocation complexity while maintaining service quality differentiation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces lightweight capability assessment mechanisms that use simplified parameters (such as basic antenna count) rather than comprehensive device characterization. This approach uses minimal overhead to classify devices into resource allocation categories, reducing the complexity of ongoing resource management while maintaining effective service quality control.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS20260082409A1Resource allocation based on device capabilities
Publication Date: 2026.03.19 T MOBILE INNOVATIONS LLC
  • US20260082409A1 patent drawing
  • US20260082409A1 patent drawing
  • US20260082409A1 patent drawing

AI summary

Methods and systems for resource allocation in a wireless network based on device capabilities are provided. Based on a determination that one or more capabilities of a UE are below a pre-determined threshold requirement for a band, radio access network node, or mobile network operator (MNO), and based on a determination that one or more trigger conditions are present, the UE will receive a reduced resource allocation. The trigger conditions include band, node, or MNO requirements and/or congestion. The reduced resource allocation can take the form of receiving a lower-priority network slice or a lower-priority quality of service (QoS).