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: 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: Disclosed herein are systems, methods, and computer-readable media directed to a software application that may be downloaded to and executed on any type of end terminal (may also be referred to as a user equipment), through which UEs of heterogenous systems sharing a frequency band can inform each other and coordinate usage and transmission in the shared frequency band in a distributed and near real-time manner to avoid and minimize interference. This software application can provide an application-based approach for wireless spectrum management.

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: According to aspects of this disclosure, systems and methods for spectrum sharing comprising is presented. The system comprises at least one controller configured to receive first data pertaining to a first system, and send to and receive second data from a second system, the first system and second system configured to use at least part of the same spectrum, the at least one controller being further configured to based at least in part on the first data, determine that the first system is using at least part of the same spectrum based at least in part of the second data, determine that the first system is likely to be interfered with by the second system, and provide instructions instructing the second system to modify one or more operational parameters of the second system to reduce interference with the first system.

Abstract: A multi-user system to simultaneously perform operations such as communication, RADAR, Light Detection and Ranging (LIDAR) and Relative Navigation (RELNAV). The techniques according to an embodiment includes generating a Fourier based orthogonal chirp sequence of length P, a prime number greater than the number of users targeted for communication. The orthogonal chirp sequence is based on an identifier, in the range of one to P?1, associated with one of the targeted users. The method further includes using the orthogonal chirp sequence to generate a spread user signal based on a message directed to the one targeted users. The method further includes generating a sequence of training pulses for insertion into the spread user signal to facilitate reception of the signal. The method further includes transmitting and receiving a reflection of the spread user signal from one of the targeted users, the reflection used to detect and range the user.

Abstract: A multi-user system to simultaneously perform operations such as communication, RADAR, Light Detection and Ranging (LIDAR) and Relative Navigation (RELNAV). The techniques according to an embodiment includes generating a Fourier based orthogonal chirp sequence of length P, a prime number greater than the number of users targeted for communication. The orthogonal chirp sequence is based on an identifier, in the range of one to P?1, associated with one of the targeted users. The method further includes using the orthogonal chirp sequence to generate a spread user signal based on a message directed to the one targeted users. The method further includes generating a sequence of training pulses for insertion into the spread user signal to facilitate reception of the signal. The method further includes transmitting and receiving a reflection of the spread user signal from one of the targeted users, the reflection used to detect and range the user.

Abstract: A spectrum sharing system includes an advanced beacon (e.g. a low latency RF link) as part of an information sharing subsystem. The advanced beacon signal carries radar spectrum transmission schedule in an obfuscated way such as not to reveal the geolocation of the radar. The information sharing subsystem directs nodes, such as cell phones, to share spectrum based on spectrum sharing instructions contained in the advanced beacon. The spectrum sharing system permits out-of-band sharing of spectrum white space, as well as sharing of in-band spectrum gray space.

Abstract: A spectrum sharing system includes an advanced beacon (e.g. a low latency RF link) as part of an information sharing subsystem. The advanced beacon signal carries radar spectrum transmission schedule in an obfuscated way such as not to reveal the geolocation of the radar. The information sharing subsystem directs nodes, such as cell phones, to share spectrum based on spectrum sharing instructions contained in the advanced beacon. The spectrum sharing system permits out-of-band sharing of spectrum white space, as well as sharing of in-band spectrum gray space.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: A system and method that uses tunnelizing for analyzing frequency spectrum. The method may include the steps of under sampling an input signal to take samples in one or more tunnels each with a tunnel bandwidth that is equal to or less than a total analysis bandwidth of the input signal; detecting one or more cyclostationary features of the input signal based on the samples; and determining one or more signal types of the one or more cyclostationary features based on the one or more cyclostationary features.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: Techniques are provided for implementing a portable spectrum analyzer. An example system, according to an embodiment, includes a signal analyzer including an RF receiver to receive RF signals from an antenna, an analog-to-digital converter to generate a sampled signal based on the received RF signals, and a signal analysis co-processor to perform cognitive scanning analysis of the sampled signal. The cognitive scanning analysis includes detection, identification, and characterization of digital/analog signal(s) embedded in the sampled signal. The system may further include a communications interface circuit to provide communication between the signal analyzer and an associated mobile host platform (e.g., smartphone). The communication includes transmitting results of the cognitive scanning analysis to the mobile host and receiving parameters from the mobile host to control the operation of the cognitive scanning analysis.

Abstract: A spectrum sharing system includes an advanced beacon (e.g. a low latency RF link) as part of an information sharing subsystem. The advanced beacon signal carries radar spectrum transmission schedule in an obfuscated way such as not to reveal the geolocation of the radar. The information sharing subsystem directs nodes, such as cell phones, to share spectrum based on spectrum sharing instructions contained in the advanced beacon. The spectrum sharing system permits out-of-band sharing of spectrum white space, as well as sharing of in-band spectrum gray space.