Abstract: Aspects of the subject disclosure may include, for example, a device, having: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: receiving a prompt from a user; ingesting a document; separating the document into vectorized chunks; processing the vectorized chunks using a Retrieval-Augmented Generation (RAG) pipeline combined with Large Language Models (LLMs) to extract specific information using predefined prompts, wherein the predefined prompts incorporate information from the user prompt; assigning a plurality of AI assistants (AIAs) to independently extract information using different prompts, LLMs, or parameters, thereby generating diverse responses; aggregating the diverse responses from the plurality of AIAs to create aggregated responses; presenting the aggregated responses to the user in a multiple-choice format, including scores and relevant excerpts from the document; recei

Abstract: A device tracking service can obtain a call event data set defining call events associated with multiple UEs; obtain transit data and network topology data; identify two or more movements associated with the multiple UEs; determine if the UEs are moving in unison; and if so, publish a macrorecord to a device tracking log, the macrorecord including a count of the UEs, an average speed of the UEs, and a travel mode associated with the UEs. The operations further can include in response to a determination that the UEs are not moving in unison, updating the call event data set with information that can define a device identifier, a type of device, a travel mode, and a location associated with at least one of the UEs.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving encrypted hypertext transport protocol (HTTPS) traffic including media content; separating the HTTPS traffic into audio segments and video segments; calculating a size for each audio segment in the HTTPS traffic; maintaining a sliding window of a plurality of sizes of consecutive audio segments to form a fingerprint; and identifying the media content by matching the fingerprint with a reference in a catalog. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving encrypted hypertext transport protocol (HTTPS) traffic including media content; separating the HTTPS traffic into audio segments and video segments; calculating a size for each audio segment in the HTTPS traffic; maintaining a sliding window of a plurality of sizes of consecutive audio segments to form a fingerprint; and identifying the media content by matching the fingerprint with a reference in a catalog. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving encrypted hypertext transport protocol (HTTPS) traffic including media content; separating the HTTPS traffic into audio segments and video segments; calculating a size for each audio segment in the HTTPS traffic; maintaining a sliding window of a plurality of sizes of consecutive audio segments to form a fingerprint; and identifying the media content by matching the fingerprint with a reference in a catalog. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving encrypted hypertext transport protocol (HTTPS) traffic including media content; separating the HTTPS traffic into audio segments and video segments; calculating a size for each audio segment in the HTTPS traffic; maintaining a sliding window of a plurality of sizes of consecutive audio segments to form a fingerprint; and identifying the media content by matching the fingerprint with a reference in a catalog. Other embodiments are disclosed.

Abstract: Spectrum resource sharing management is described, e.g., a user equipment can determine a metric representative of a quality of a communication signal received by the user equipment, wherein the communication signal is received via a first mobile network operated by a first mobile network operator entity. In response to the metric being determined to be below a threshold, the user equipment can scan a group of frequency bands. The user equipment can receive a broadcast signal from a network node device via a frequency band of the group of frequencies, wherein the broadcast signal comprises a performance parameter and cost information, and wherein the network node device is associated with a second mobile network operated by a second mobile network operator entity.

Abstract: Spectrum resource sharing management is described, e.g., a user equipment can determine a metric representative of a quality of a communication signal received by the user equipment, wherein the communication signal is received via a first mobile network operated by a first mobile network operator entity. In response to the metric being determined to be below a threshold, the user equipment can scan a group of frequency bands. The user equipment can receive a broadcast signal from a network node device via a frequency band of the group of frequencies, wherein the broadcast signal comprises a performance parameter and cost information, and wherein the network node device is associated with a second mobile network operated by a second mobile network operator entity.