Load-Aware Spectrum Access Profiles for RAN Band Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional user-specific spectrum access techniques in RAN systems, such as 5G NR, employ static policies that can lead to underutilization of one band while overloading another, degrading system performance.
Innovation Solution
Adaptive load-aware user-specific spectrum access mechanisms that dynamically adjust priority configurations based on real-time loading conditions, using AI and ML to optimize spectrum utilization across multiple bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static spectrum access policies are used for different user groups, then user-specific service quality can be maintained, but spectrum utilization efficiency deteriorates due to underutilization of some bands and overloading of others
Solution Approach 1:
The patent applies dynamics by transitioning from static spectrum access policies to dynamic policies that adapt in real-time based on network load conditions. The system dynamically adjusts spectrum access rights and priority configurations for different user groups according to current network state, allowing flexible allocation that prevents both underutilization and overloading of specific frequency bands while maintaining service quality guarantees.
Solution Approach 2:
The patent changes key parameters including spectrum access priorities, allowed bands, and allocation ratios based on network load conditions. By modifying these parameters dynamically rather than using fixed configurations, the system optimizes spectrum utilization efficiency while preserving service quality through controlled parameter adjustments that respect user group requirements.
2Productivity
If dynamic spectrum access policies are implemented, then spectrum utilization efficiency improves, but system complexity increases due to real-time monitoring and adjustment mechanisms
Solution Approach 1:
The patent implements feedback mechanisms where network nodes continuously monitor spectrum load conditions and user experience metrics, then use this information to adjust spectrum access policies. This closed-loop feedback enables automatic optimization of spectrum utilization without requiring complex manual intervention, reducing operational complexity while maintaining high efficiency.
Solution Approach 2:
The system performs self-optimization by automatically detecting network conditions and adjusting spectrum allocation without external intervention. The network autonomously monitors its own state and makes policy adjustments based on predefined criteria and learned patterns, reducing the need for complex external management systems.
3Reliability
If multiple spectrum bands are supported with different priorities, then user experience improves, but network management complexity increases due to multiple policy configurations
Solution Approach 1:
The patent creates a universal spectrum access management framework that handles multiple bands and user groups through a single unified system. Instead of managing separate policies for each band and user combination, the system uses a universal set of rules and algorithms that automatically adapt to different scenarios, reducing management complexity while providing differentiated service quality.
Solution Approach 2:
The system manages multiple spectrum bands by dynamically changing access parameters such as priority levels, allocation ratios, and availability conditions based on network state. This parameter-based approach allows a single management system to handle diverse band requirements without creating separate complex configurations for each band.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a first profile that rank orders, for a group of users of a wireless communication system, a plurality of bands available, wherein the first profile is associated with a camping process; obtaining a second profile that rank orders, for the group of users, the plurality of bands, wherein the second profile is associated with a leg selection process; obtaining a first alternate profile that rank orders, for the group of users, the plurality of bands, wherein the first alternate profile is associated with the camping process; obtaining a second alternate profile that rank orders, for the group of users, the plurality of bands, wherein the second alternate profile is associated with the leg selection process; and dynamically selecting, based upon a loading condition, either the first and second profiles or the first and second alternate profiles. Other embodiments are disclosed.