Hierarchical Spectrum Offload via Modality-Based Channel Assignment
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Solution Overview
Problem
Wireless Local Area Networks (WLANs) face challenges in managing increasing traffic volumes and diverse application demands, requiring efficient channel allocation to ensure high performance and quality of service for various types of data traffic, such as voice, video, and instant messaging, while minimizing interference and optimizing spectrum use.
Innovation Solution
A system that assigns data traffic streams to channels based on modalities and frequency bands using a database that maps application modalities to channels, prioritizing frequency bands and channel characteristics to meet the specific requirements of each application type, ensuring that higher performance channels are allocated to more demanding applications and minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data traffic is offloaded to WLAN using multiple frequency bands and channels, then network capacity and service quality are improved, but channel assignment complexity and interference management difficulty increase
Solution Approach 1:
The patent segments data traffic into different modalities (voice, video, instant messaging, etc.) and assigns each modality to specific frequency bands and channels based on their QoS requirements. This segmentation allows complex multi-band WLAN traffic management to be broken down into manageable modality-specific assignments, improving network capacity while controlling assignment complexity through systematic classification.
Solution Approach 2:
The patent changes the parameter of channel assignment from random or first-come-first-served to priority-based assignment according to modality type and QoS requirements. By introducing modality-specific priority parameters and frequency band preferences, the system optimizes network capacity for different traffic types while managing complexity through parameterized assignment rules stored in databases.
2Reliability
If higher performance channels are allocated to demanding applications, then quality of service is improved, but channel allocation complexity and potential interference increase
Solution Approach 1:
The patent applies local quality by assigning different channel allocation strategies to different modalities based on their specific QoS requirements. Voice traffic receives high-priority allocation on reliable channels, while less demanding traffic uses available channels. This localized quality assignment improves overall QoS while managing complexity through modality-specific rules rather than uniform complex allocation.
Solution Approach 2:
The system uses feedback mechanisms where channel assignment decisions are based on modality priority, QoS requirements, and current channel conditions. The database stores modality-to-frequency-band mappings that are updated based on network conditions, allowing the system to adapt channel allocation dynamically while maintaining QoS guarantees for critical applications.
3Adaptability or versatility
If multiple modalities are supported with priority-based assignment, then service differentiation is improved, but system complexity and database management burden increase
Solution Approach 1:
The patent creates a universal modality-based assignment framework that handles multiple traffic types (voice, video, messaging, etc.) through a common priority and frequency band preference mechanism. This universal approach enables service differentiation across diverse applications while managing system complexity through a single standardized assignment system rather than separate handling for each application type.
Solution Approach 2:
The system performs preliminary action by pre-configuring modality-to-frequency-band mappings and priority assignments in databases before actual traffic transmission. This preliminary configuration reduces real-time decision complexity by having assignment rules pre-established based on modality characteristics, allowing the system to handle service differentiation efficiently during actual operation.
Data Source
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AI summary
Application data traffic transmitted and received by wireless devices in a network may be mapped to channels based on traffic type and channel metrics. The traffic type may be classified by modality such as by voice, video, application sharing, instant messaging, emergency call, or any other application modality. The channels may be associated with characteristics that include, for example, a frequency band or channel metrics. The traffic types may be prioritized relative to one another and each may be associated with a hierarchical frequency band prioritization or a channel prioritization based on other channel metrics. A list of traffic types or modalities may be mapped to a list of available channels in a network by mapping channel characteristics to modalities based on modality traffic type prioritization, frequency band prioritization or channel metric prioritization. The mapping may then be utilized to control channel assignment for devices operating in the network.