Abstract: Example embodiments may relate to controlling re-training of a machine learning (ML) model deployed at a device. A method may comprise: performing, by a device associated with a communication network, a task with a ML model to obtain an output, wherein the output is configured to be used for performance of a network operation of the communication network; receiving, from an access node of the communication network, feedback data indicative of a cause of a failure of the network operation; and determining, based on the feedback data, to perform at least one of the following: re-training the machine learning model for performing the task, updating at least one parameter of a non-machine learning algorithm associated with performance of the task with the machine learning model, refraining from re-training the machine learning model, or refraining from updating the at least one parameter of the non-machine learning algorithm.

Abstract: Example embodiments of the invention provide at least a method and apparatus to perform communicating by a network node with a user equipment of a communication network a ping-pong offset prediction request message; determining a ping-pong offset prediction wherein the ping-pong offset prediction is taking into account a change in at least one of a speed, trajectory, or received signal levels from a previous serving cell; based on the determining, sending to the network node a ping-pong offset prediction, and wherein based on the ping-pong offset prediction the handover back to the previous serving cell is one of executed or not executed.

Abstract: Some demonstrative embodiments include devices, systems and/or methods of scanning wireless communication channels. For example, a device may include a controller to receive one or more energy indications corresponding to one or more frequency ranges within a wireless communication frequency band, wherein a frequency range of the frequency ranges at least partially covers a plurality of wireless communication frequency channels, and wherein the controller is to scan for at least one wireless communication beacon over one or more channels of the plurality of wireless communication frequency channels, if an energy indication corresponding to the frequency range indicates wireless communication activity over the frequency range.

Abstract: Embodiments of techniques to perform passive and active scanning in a wireless network are presented herein.

Abstract: Embodiments of techniques to perform passive and active scanning in a wireless network are presented herein.

Abstract: A method, device and system for varying the duration of active scanning of a channel in response to noise detected on such channel. If a device detects no noise on such channel, and no probe response is received to the device's probe request, then the duration of scanning on such channel may be limited to a brief dwell time. If noise is detected on such channel then the duration of scanning on such channel may be extended to a longer dwell time.

Abstract: A system and method for measuring latency in voice communications is presented. In an exemplary embodiment, latency is measured by establishing a call between a first and a second telephony device, and measuring a latency between a signal originating at the first telephony device and the signal as it arrives at the second telephony device.

Abstract: A method of synchronizing two voice files is described. A header is added to a test sound file and the augmented file digitized, encoded and transmitted via a packet switched data network. The header comprises a tone which varies by increasing from a very low amplitude to a precisely detectable peak value, and then decreasing to a very low amplitude again. The voice data in the file follows the peak amplitude by a known delay. The header peak value is precisely located in time by searching for the peak amplitude. Adding the known delay precisely locates, temporally, the beginning of the voice data. This method allows the synchronization of the original file with its transmitted version to a very high precision.

Abstract: A system and method for measuring latency in voice communications is presented. In an exemplary embodiment, latency is measured by establishing a call between a first and a second telephony device, and measuring a latency between a signal originating at the first telephony device and the signal as it arrives at the second telephony device.