Robotics & Machine Learning Daily News2024,Issue(Dec.2) :272-275.

'Generating Floorplans via Machine Learning in Network Devices' in Patent Applic ation Approval Process (USPTO 20240380672)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :272-275.

'Generating Floorplans via Machine Learning in Network Devices' in Patent Applic ation Approval Process (USPTO 20240380672)

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Abstract

The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Effective floor coverage management is a critic al but challenging aspect of Access Point(AP) deployment. Striking an appropria te balance between AP power levels is crucial to ensure optimalclient experienc es. When AP power is set too high, for example, it often leads to the occurrence ofOverlapping Basic Service Sets (OBSS), causing interference and deterioratin g the client’s connectivityand overall experience. On the other hand, if AP pow er is set too low, coverage gaps emerge, which couldleave certain areas underse rved, leading to subpar user experiences. Addressing these issues requires amet iculous approach that accounts factors such as building layout, client density, and interference sourcesto achieve seamless coverage while avoiding any detrime ntal impacts on network performance and usersatisfaction.

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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