Multi-AP Service Coordination for Low-Interference Real-Time Traffic
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Solution Overview
Problem
Existing wireless networks face challenges in efficiently coordinating multiple access points (APs) for optimal data transmission and reception, leading to interference and inconsistent latency, particularly in real-time services.
Innovation Solution
An electronic device is equipped with a wireless communication circuit and processor to request and negotiate multi-AP coordination, sharing information among APs for coordinated data transmission and reception, minimizing interference and maintaining consistent latency through methods like distributed MIMO, C-OFDMA, and coordinated beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-AP coordination is implemented for all services, then network performance and latency consistency are improved, but network complexity and overhead increase
Solution Approach 1:
The patent applies local quality by differentiating service types and applying multi-AP coordination only to latency-sensitive services (such as real-time voice and video) while excluding non-latency-sensitive services. This selective approach optimizes network performance for services that require it most, while avoiding the complexity overhead for services where it provides minimal benefit.
Solution Approach 2:
The patent implements partial action by negotiating multi-AP coordination on a per-service basis rather than universally. The electronic device identifies which services require coordination based on their latency sensitivity characteristics, and only establishes coordination for those specific services, thereby applying the coordination mechanism partially to the overall traffic.
2Device complexity
If multi-AP coordination is applied to latency-sensitive services only, then coordination overhead is reduced, but interference and latency issues persist in non-coordinated services
Solution Approach 1:
The patent applies local quality by differentiating service types and applying multi-AP coordination only to latency-sensitive services (such as real-time voice and video) while excluding non-latency-sensitive services. This selective approach optimizes network performance for services that require it most, while avoiding the complexity overhead for services where it provides minimal benefit.
Data Source
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AI summary
The method of operating an electronic device can include identifying a service through the electronic device. The method can include negotiating multi-AP coordination for the service. The method can include receiving traffic of the service through the multi-AP coordination.