Abstract
Reliable WiFi coverage hinges on the strategic placement and accurate configuration of access points (APs). Traditional, manual AP placements are time consuming, costly, and suboptimal. This disclosure describes techniques that leverage the A* search algorithm to determine optimal AP placements/configurations. Given a set of AP placements/configurations and a metric that captures the difference between the network coverage of a particular AP placement and a target network coverage, an AP placement/configuration is found that optimizes WiFi coverage while minimizing the number of APs and their configuration complexities. The techniques advantageously discretize the search space by leveraging the facts that only a certain number of places within a building can accommodate APs and that AP configuration ranges are predetermined. The techniques are cognizant of and build upon existing floorplan and coverage data, while simultaneously incorporating real-time network data. The techniques can provide increased network capacity and reduced interference, enable an improved user experience, and provide AP placement/configurations that evolve with the network.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
n/a, "WiFi Access Point Placement and Configuration Using A* Search", Technical Disclosure Commons, (May 09, 2025)
https://www.tdcommons.org/dpubs_series/8105