RAN Scheduler Fairness Adjustment for MDU FWA Gateways
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Solution Overview
Problem
Multi-dwelling units (MDUs) consume more network resources due to the number of connected devices, leading to unfair penalization and suboptimal network performance and service quality for individual users.
Innovation Solution
Implement network slicing in MDUs, tailoring each slice to meet different service requirements, and adjust fairness criteria by applying specialized traffic caps and data rate weighting to ensure equitable resource distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If MDUs are treated as single gateway devices, then network management is simplified, but individual users within the MDU suffer from unfair resource allocation and penalization
Solution Approach 1:
The patent segments the MDU gateway into multiple virtual network entities, each representing an individual user or device group. This segmentation allows the network to recognize and manage each user separately, enabling fair resource allocation while maintaining simplified physical infrastructure. The virtualization creates logical divisions without requiring physical separation of gateways.
Solution Approach 2:
The patent applies local quality by assigning different resource allocation parameters, traffic caps, and fairness criteria weights to different users within the MDU based on their specific needs and service agreements. Each user receives customized network treatment tailored to their individual requirements rather than uniform treatment, resolving the fairness issue while keeping overall management centralized.
2Device complexity
If traffic caps are applied uniformly to all gateways, then network resource protection is simplified, but MDU users experience suboptimal service quality
Solution Approach 1:
The patent implements dynamic traffic cap management where caps are adjusted based on user behavior, time of day, network conditions, and service level agreements. Rather than static uniform caps, the system dynamically modifies allocation parameters to optimize service quality while protecting network resources. This dynamic approach allows flexible adaptation to changing conditions.
Solution Approach 2:
The patent changes traffic cap parameters from fixed uniform values to variable values that differ by user, time period, and network conditions. By modifying parameters such as bandwidth allocation, traffic caps, and fairness weights, the system optimizes service quality for diverse users while maintaining overall network resource protection through centralized parameter control.
3Reliability
If fairness criteria are adjusted for MDUs, then individual user service quality improves, but network scheduling complexity increases
Solution Approach 1:
The patent introduces an intermediary layer between the physical gateway and individual users, implementing fairness criteria adjustments at the virtual network entity level. This intermediary approach allows complex fairness calculations to be performed on virtualized representations rather than directly on physical resources, reducing the computational burden on the scheduling algorithm while maintaining improved service quality for individual users.
Data Source
AI summary
Methods and systems are provided for managing data transmission within a cellular network. A base station detects the attachment of a Fixed Wireless Access (FWA) gateway. Upon detection, the base station determines a traffic cap for the FWA gateway based on this attachment. The base station then generates a normalized data rate for the FWA gateway by weighting its achieved data rate. Subsequently, the fairness criteria of a Radio Access Network (RAN) scheduler are adjusted based on this normalized data rate. This methodology ensures a balanced and efficient allocation of resources within the network.