Wireless Traffic Management via Device-Network Correlation
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Solution Overview
Problem
Current methods for load balancing in wireless networks are inefficient due to varying access capabilities of wireless devices and the introduction of new frequency bands, leading to sub-optimal traffic patterns across different access nodes.
Innovation Solution
A system and method for traffic management in wireless networks that determines a compatibility metric by correlating radio network attributes and device attributes, allowing for adjustments to network load and parameters to optimize traffic distribution across frequency bands, ensuring efficient spectrum utilization and maximum throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional load balancing methods are used, then network operation is maintained, but traffic distribution remains sub-optimal due to varying device capabilities and frequency band characteristics
Solution Approach 1:
The system dynamically changes network parameters including frequency band selection, power levels, and traffic routing based on real-time analysis of device capabilities and network conditions. This enables optimal traffic distribution by adapting parameters to match specific device characteristics and network state
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring device attributes, network performance metrics, and traffic patterns. This feedback is used to iteratively optimize load balancing decisions and improve traffic distribution efficiency over time
2Productivity
If network parameters are dynamically adjusted, then per-user throughput is maximized, but system complexity increases
Solution Approach 1:
The system introduces intermediary components including a compatibility metric calculation module and traffic management controller that mediate between raw device attributes and network parameter adjustments. These intermediaries simplify the control logic by providing structured frameworks for decision-making
Solution Approach 2:
The traffic management system is segmented into distinct functional modules: device attribute analysis, compatibility metric calculation, frequency band evaluation, and parameter adjustment. This modular architecture reduces overall system complexity by making each component independent and manageable
Data Source
AI summary
Embodiments disclosed herein describe systems, methods, and processing nodes for traffic management in wireless networks based on performing correlations between radio network attributes and wireless device attributes, and generating updated network parameters based on the correlation. Correlations between radio network attributes and wireless device attributes can yield commonalities or patterns based on a frequency band, a site, or a market. Based on the commonalities or patterns, network parameters such as cell reselection priority, allocation of resources, maximum traffic per frequency band, etc. can be calculated and deployed to various network elements such as control nodes, access nodes, wireless devices, etc. The deployment results in an optimal traffic distribution across each frequency band, such that the available spectrum is utilized efficiently and per-user throughput is maximized for all users of the wireless network.