Mobile Wireless Coverage Repositioning for Uneven Home Signals
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Solution Overview
Problem
Wireless coverage in local areas, such as homes, is often uneven due to distance from the access point and obstacles, leading to poor quality of service, especially for users located far from the gateway or obstructed by furniture and walls.
Innovation Solution
A mobile device equipped with a wireless signal transceiver and a displacement assembly, controlled by a processor, moves within a zone to optimize wireless signal coverage by mapping RSSI and adapting its position based on user location and behavior to provide improved access to wireless networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wireless access point is placed in a fixed location, then the device complexity is reduced and ease of operation is improved, but the wireless coverage quality deteriorates in areas far from the access point or obstructed by obstacles
Solution Approach 1:
The patent applies the dynamics principle by transforming the static wireless access point into a mobile robot that can dynamically reposition itself. The robot equipped with wireless transceivers moves autonomously or remotely-controlled to different locations within the coverage area, adapting the network topology dynamically to ensure optimal signal distribution and coverage quality throughout the environment.
Solution Approach 2:
The patent implements self-service through autonomous navigation capabilities where the mobile robot independently determines its position, selects optimal locations for signal distribution, and repositions itself without human intervention. The system uses sensors, processors, and control algorithms to autonomously navigate and maintain wireless coverage, reducing the need for manual configuration and deployment.
2Reliability
If the wireless access point is moved closer to users to improve signal strength, then the wireless coverage quality is improved, but the device must be manually repositioned which reduces ease of operation
Solution Approach 1:
The mobile robot autonomously determines when and where to reposition itself based on signal quality metrics, user location data, and coverage requirements. The system automatically navigates to optimal positions to maintain strong signal strength without requiring manual intervention, thereby preserving ease of operation while ensuring reliable coverage.
Solution Approach 2:
The system continuously monitors wireless signal strength, coverage quality, and user device locations, using this feedback to dynamically adjust the robot's position. The feedback loop enables the robot to automatically move to locations that optimize signal distribution, maintaining high signal strength while eliminating the need for manual repositioning by users.
3Reliability
If multiple fixed access points are deployed to improve coverage, then the wireless coverage quality is improved, but the device complexity and installation difficulty increase
Solution Approach 1:
Instead of deploying multiple fixed access points simultaneously, the patent segments the coverage function into a single mobile robot that sequentially visits different locations. The robot divides the overall coverage task into multiple temporal segments, providing comprehensive coverage through time-based division rather than spatial multiplication, thereby reducing installation complexity.
Solution Approach 2:
The system uses a dynamic single mobile unit to replace multiple static units. The robot's mobility allows it to dynamically assume different positions and roles, effectively performing the function of multiple fixed access points through temporal and spatial variation, thereby simplifying deployment and reducing system complexity.
4Reliability
If the mobile device continuously moves to track user location, then the wireless coverage quality is improved, but the energy consumption increases
Solution Approach 1:
The robot does not continuously move to track users but instead performs partial repositioning actions only when and where needed. The system uses threshold-based triggers and predictive algorithms to determine when coverage quality falls below acceptable levels, initiating movement only to correct specific coverage deficiencies rather than continuously tracking users, thereby reducing energy consumption while maintaining coverage consistency.
Solution Approach 2:
The system uses user location prediction and historical movement patterns to proactively position the robot in advance of when users need coverage. By anticipating user movement and pre-positioning the access point, the system avoids reactive continuous tracking, reducing energy consumption while maintaining consistent coverage quality through forward-looking positioning strategies.
Data Source
AI summary
The present disclosure relates to a device for providing wireless signal coverage. The device includes a wireless signal transceiver and a displacement assembly for moving the wireless signal transceiver within a zone. The device is provided with a processor configured to control the displacement assembly to move the mobile device based on the wireless signal coverage within the zone and the location with respect to the zone of a wireless device operable to access the wireless signal coverage.