The present technology is directed to providing a 3-D visualization of a Wi-Fi signal propagation pattern based on telemetry data. The present technology can receive telemetry data for a Wi-Fi access point located at a location of a building plan in a Wi-Fi visualization system, store the telemetry data with a timestamp, determine a change in a Wi-Fi coverage for the Wi-Fi access point based on the telemetry data, and present a visualization illustrating the change in the Wi-Fi coverage for the Wi-Fi access point. The present technology can further present an animation of the change in the Wi-Fi coverage for the Wi-Fi access point based on the stored telemetry data.

Systems and methods for localizing individuals in a region using wireless signals in accordance with embodiments are illustrated. One embodiment includes a method for localizing individuals in a region between wireless devices of a system. The method receives wireless signal strength data for signals transmitted along signal paths between several wireless playback devices transmitting on a wireless channel during synchronous playback of media content by the several wireless playback devices and determines a first signal strength for each of several portions of the wireless channel. The method calculates, for each signal path between each of the several wireless playback devices, a difference in the determined first signal strength from a second signal strength for each of the several subcarriers, and determines, based on the calculated differences, a state for a set of one or more individuals in the region.

A method for using legacy Wi-Fi and Wi-Fi Peer-to-Peer (P2P) simultaneously is provided. The method includes entering a device discovery process of Wi-Fi P2P, if use of a Wi-Fi P2P function is requested while using a legacy Wi-Fi function, acquiring a Group Owner (GO) right of Wi-Fi P2P in the device discovery process, performing a listen state over the same channel as a channel where the legacy Wi-Fi function is in use, through the acquisition of the GO right, and performing a search state over a social channel of Wi-Fi P2P, and repeating the listen state and the search state until the device discovery process is ended.

Embodiments of the disclosed techniques disclose methods for planning an indoor radio network for a building. In one embodiment, a method comprises preprocessing an image of a floor plan of the building; generating a radio propagation map for the floor plan using the preprocessed image; and determining an indoor radio transmitter distribution for the floor plan using the radio propagation map.

The system stores process information including information on processes before starting at a manufacturing site, and management information that manages radio performance estimation methods usable for each of applications and information for determining a processing time of each of the radio performance estimation methods. The process information includes information on applications used in each process of the processes and information on a time associated with each process. The system refers to the process information and the management information so as to determine radio performance estimation methods usable in each process, and refers to the process information and the management information so as to select a wireless communication method, through which radio performance estimation processing is completed by a time associated with each process, from the radio performance estimation methods usable in each process.

The present invention relates to an allocation method in a transmission network on-board a mobile vehicle, the network comprising wireless access points configured for transmitting and receiving, over a functioning channel, radio signals between said access point and a plurality of terminals.

The method comprising the following steps: provision of a digital model of the mobile vehicle and of the access points; for every available channel and for every access point, simulation of the propagation of signals from said access point on said available channel; for every available channel, for every access point and for every terminal, determination of an estimated associated bandwidth according to the simulation; allocation of one of the available channels and one of the access points to every terminal according to the estimated bandwidths.

Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location over a time period. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends over the time period. The device determines a path loss between at least the first and second access points based on the correlation bias factor and data associated with neighbor messages sent between the first and second access points.

Systems and methods for localizing individuals in a region using wireless signals in accordance with embodiments are illustrated. One embodiment includes a method for localizing individuals in a region between wireless devices of a system. The method receives wireless signal strength data for signals transmitted along signal paths between several wireless playback devices transmitting on a wireless channel during synchronous playback of media content by the several wireless playback devices and determines a first signal strength for each of several portions of the wireless channel. The method calculates, for each signal path between each of the several wireless playback devices, a difference in the determined first signal strength from a second signal strength for each of the several subcarriers, and determines, based on the calculated differences, a state for a set of one or more individuals in the region.

An electronic apparatus and a control method are provided. The electronic apparatus includes a transceiver, a memory configured to store an artificial intelligence (AI) model, and a processor configured to control the transceiver to receive environment information from at least one of a plurality of devices that are connected to the electronic apparatus, determine that a predicted device of the plurality of devices will lose a network connection based on the first AI model and the environment information, and in response to determining the predicted device will lose the network connection, maintain the network connection of the predicted device through another device of the plurality of devices. The electronic apparatus may use a rule-based model or an AI model trained by using at least one of a machine learning algorithm, a neural network algorithm, or a deep-learning algorithm.

A method, system and network node for detecting indoor traffic of a wireless communications network by obtaining data associated with an operation of a cell of the wireless communication network and determining a quality grading and coverage grading for the cell from the obtained data. The combined quality and coverage grading results are assessed to determine an approximate value corresponding to an amount of cell traffic assessed as being indoor traffic and generating an output indicating the amount of cell traffic as being indoor traffic.