802.11ax Gateway Resource Unit Allocation for Service-Aware QoS
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Solution Overview
Problem
Existing methods for allocating frequency bands in home networks fail to prioritize critical services like online gaming, leading to suboptimal performance and quality-of-service issues due to the increasing complexity of home network topologies and services, and lack of precise traffic management in 802.11n and 11ac technologies.
Innovation Solution
A method for optimized allocation of stations using the 802.11ax standard, which involves detecting the type of service used by each station, classifying services into resource units, and dynamically assigning stations to these units based on their service type, network topology, and available resources, utilizing features like OFDMA for better frequency band management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the access point allocates frequency bands in an identical and neutral manner to all stations, then the device complexity is reduced and ease of operation is improved, but the quality of service for critical applications deteriorates and network performance optimization is lost
Solution Approach 1:
The patent implements differentiated frequency band allocation where different stations receive different resource units based on their specific service requirements. Critical services like online gaming are assigned dedicated resource units with higher priority, while less demanding services receive different allocations. This local differentiation resolves the contradiction by maintaining simple neutral allocation for general cases while providing optimized quality of service for specific critical applications.
2Reliability
If the access point dedicates the entire frequency band to a single critical service, then the quality of service for that service is improved, but the adaptability to serve multiple services and the productivity of the network deteriorates
Solution Approach 1:
The patent segments the available frequency band into multiple resource units that can be dynamically allocated to different stations based on their service requirements. Instead of dedicating the entire band to one service, the system divides it into allocatable portions, allowing simultaneous support for multiple services with different quality of service levels. This segmentation enables both high reliability for critical services and adaptability for multiple service types.
Solution Approach 2:
The patent implements dynamic resource unit allocation where the assignment of frequency bands to stations is not fixed but can be adjusted based on current network conditions and service requirements. The access point continuously monitors station activities and reassigns resource units accordingly, enabling the system to maintain high quality of service for critical applications while remaining adaptable to changing service demands and network topology.
3Device complexity
If existing bandwidth allocation methods are used without service differentiation, then the device complexity is minimized, but the manufacturing precision of service allocation and the productivity of critical services deteriorate
Solution Approach 1:
The patent implements a self-service mechanism where stations indicate their service type requirements, and the access point automatically assigns appropriate resource units based on pre-defined classification rules. The detection device identifies service types (gaming, video, browsing, etc.) and the system autonomously allocates frequency bands without requiring complex manual configuration or user intervention. This self-service approach maintains relatively simple device complexity while achieving high productivity for critical services through automated optimized allocation.
Data Source
AI summary
A method for station allocation using an 802.11ax standard in a network including at least one 802.11ax station implementing a service, a gateway communicating with an external network and a detection device detecting the station service. The method includes collecting station parameters, classifying the services of each station by class, each class containing a type of service; each class is assigned a resource unit and a number of stations, arranging the N classes on the size of the resource unit assigned to each class; and, when a station connects to the local network: identifying a dedicated class, corresponding to the station service, identifying a higher and a lower class than the dedicated class if existing, checking whether the maximum number of stations is reached in the higher, the dedicated or in the lower class; assigning the station to a resource unit of the first class in order.