Abstract: Aspects of the present disclosure are directed to a Biological and Chemical Threat Prediction and Reasoning System (BiCEPS). BiCEPS can leverage Artificial Intelligence (AI) and Machine Learning (ML) approaches on uniquely pre-processed data derived from wearable devices to enable early detection, monitoring, and possibly prevention (or containment) of communicable diseases that can result in pandemics. Such communicable diseases may hereinafter be referred to as biological and/or chemical threats or simply threats.

Abstract: A method of dynamically routing packets to a destination node performed by a computing device is disclosed. The method includes: (1) detecting a status of a plurality of links to the destination node across a plurality of communications modalities; (2) determining a set of links to use for routing packets to the destination node based on the detected statuses; and (3) sending packets to the destination node via the determined set of links. A related computer program product, apparatus, and system are also disclosed.

Abstract: One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

Abstract: In one aspect, a radio receive includes one or more antennas configured to receive a signal, wherein the signal includes an intended signal sent for reception by the radio receiver and one or more interfering signals. The radio receiver further includes one or more memories configured to store computer-readable instructions; and one or more processors. The one or more processors are configured to execute the computer-readable instructions to apply, in real-time, a first signal processing procedure to the signal to classify a corresponding type for each of the one or more interfering signals; determine an interference mitigation scheme for each type of interfering signal; apply, in real-time, a second signal processing procedure to the signal to mitigate the one or more interfering signals using the interference mitigation scheme for each type of interfering signal; and output the intended signal.

Abstract: One or more aspects of the present disclosure are directed to network optimization solutions provided as software agents (applications) executed on network nodes in a heterogenous multi-vendor environment to provide cross-layer network optimization and ensure availability of network resources to meet associated Quality of Experience (QoE) and Quality of Service (QoS). In one aspect, a network slicing engine is configured to receive at least one request from at least one network endpoint for access to the heterogeneous multi-vendor network for data transmission; receive information on state of operation of a plurality of communication links between the plurality of nodes; determine a set of data transmission routes for the request; assign a network slice for serving the request; determine, from the set of data transmission routes, an end-to-end route for the network slice; and send network traffic associated with the request using the network slice and over the end-to-end route.

Abstract: One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

Abstract: One or more aspects of the present disclosure are directed to network optimization solutions provided as software agents (applications) executed on network nodes in a heterogenous multi-vendor environment to provide cross-layer network optimization and ensure availability of network resources to meet associated Quality of Experience (QoE) and Quality of Service (QoS). In one aspect, a network slicing engine is configured to receive at least one request from at least one network endpoint for access to the heterogeneous multi-vendor network for data transmission; receive information on state of operation of a plurality of communication links between the plurality of nodes; determine a set of data transmission routes for the request; assign a network slice for serving the request; determine, from the set of data transmission routes, an end-to-end route for the network slice; and send network traffic associated with the request using the network slice and over the end-to-end route.

Abstract: A method of dynamically routing packets to a destination node performed by a computing device is disclosed. The method includes: (1) detecting a status of a plurality of links to the destination node across a plurality of communications modalities; (2) determining a set of links to use for routing packets to the destination node based on the detected statuses; and (3) sending packets to the destination node via the determined set of links. A related computer program product, apparatus, and system are also disclosed.

Abstract: One or more aspects of the present disclosure are directed to network optimization solutions provided as software agents (applications) executed on network nodes in a heterogenous multi-vendor environment to provide cross-layer network optimization and ensure availability of network resources to meet associated Quality of Experience (QoE) and Quality of Service (QoS). In one aspect, a network slicing engine is configured to receive at least one request from at least one network endpoint for access to the heterogeneous multi-vendor network for data transmission; receive information on state of operation of a plurality of communication links between the plurality of nodes; determine a set of data transmission routes for the request; assign a network slice for serving the request; determine, from the set of data transmission routes, an end-to-end route for the network slice; and send network traffic associated with the request using the network slice and over the end-to-end route.

Abstract: One or more aspects of the present disclosure are directed methods, devices and computer-readable media for receiving, at a receiver, a signal, the signal including a cover signal and an embedded co-channel anomalous signal; performing, at the receiver, signal processing on the signal to determine one or more characteristics of the signal; inputting, at the receiver, the one or more characteristics into one or more trained neural networks; and receiving, as an output of the trained neural network, a classification of the signal, the classification identifying the cover signal and the embedded co-channel anomalous signal.

Abstract: One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

Abstract: One or more aspects of the present disclosure are directed to network optimization solutions provided as software agents (applications) executed on network nodes in a heterogenous multi-vendor environment to provide cross-layer network optimization and ensure availability of network resources to meet associated Quality of Experience (QoE) and Quality of Service (QoS). In one aspect, a network slicing engine is configured to receive at least one request from at least one network endpoint for access to the heterogeneous multi-vendor network for data transmission; receive information on state of operation of a plurality of communication links between the plurality of nodes; determine a set of data transmission routes for the request; assign a network slice for serving the request; determine, from the set of data transmission routes, an end-to-end route for the network slice; and send network traffic associated with the request using the network slice and over the end-to-end route.

Abstract: One or more aspects of the present disclosure are directed to a software-based solution that can classify interference signals in real-time affecting a radio equipment and provide/implement an interference mitigations scheme to combat the interference signal and restore communication system of the radio equipment. In one aspect, a radio equipment includes memory having computer-readable instructions stored therein and one or more processors. The one or more processors are configured to execute the computer-readable instructions to receive at least one interference signal via an antenna of the radio; determine one or more layers characteristics of one or network layers used for transmission of signals for the radio; classify the interference signal using one or more features in the interference signal and the one or more layers characteristics; and determine an interference mitigation scheme for countering the interference signal.

Abstract: One or more aspects of the present disclosure are directed to network optimization solutions provided as software agents (applications) executed on network nodes in a heterogenous multi-vendor environment to provide cross-layer network optimization and ensure availability of network resources to meet associated Quality of Experience (QoE) and Quality of Service (QoS). In one aspect, a network slicing engine is configured to receive at least one request from at least one network endpoint for access to the heterogeneous multi-vendor network for data transmission; receive information on state of operation of a plurality of communication links between the plurality of nodes; determine a set of data transmission routes for the request; assign a network slice for serving the request; determine, from the set of data transmission routes, an end-to-end route for the network slice; and send network traffic associated with the request using the network slice and over the end-to-end route.

Abstract: A method of dynamically routing packets to a destination node performed by a computing device is disclosed. The method includes: (1) detecting a status of a plurality of links to the destination node across a plurality of communications modalities; (2) determining a set of links to use for routing packets to the destination node based on the detected statuses; and (3) sending packets to the destination node via the determined set of links. A related computer program product, apparatus, and system are also disclosed.