Abstract: Methods and systems for detecting and masking activity of resources in a protected system. A Spectrum Management Firewall (SMF) device may be tasked with gathering and categorizing data concerning the operations of network assets. The SMF may train a discriminator neural network using the categorized data and integrate it into a Generative Adversarial Network (GAN) that includes a generator neural network. The discriminator may discern between authentic and fabricated operational data and the generator may create deceptive data that mimics the functionality of fictitious assets corresponding to the recognized resource. The GAN may generate fake systems for every identified resource or the network as a whole. The SMF device may cause a suitable generated fake system to serve as a mask for the activity of a resource in the protected system.

Abstract: Methods and systems for detecting and masking activity of resources in a protected system. A Spectrum Management Firewall (SMF) device may be tasked with gathering and categorizing data concerning the operations of network assets. The SMF may train a discriminator neural network using the categorized data and integrate it into a Generative Adversarial Network (GAN) that includes a generator neural network. The discriminator may discern between authentic and fabricated operational data and the generator may create deceptive data that mimics the functionality of fictitious assets corresponding to the recognized resource. The GAN may generate fake systems for every identified resource or the network as a whole. The SMF device may cause a suitable generated fake system to serve as a mask for the activity of a resource in the protected system.

Abstract: Methods and systems for detecting and masking activity of resources in a protected system. A Spectrum Management Firewall (SMF) device may be tasked with gathering and categorizing data concerning the operations of network assets. The SMF may train a discriminator neural network using the categorized data and integrate it into a Generative Adversarial Network (GAN) that includes a generator neural network. The discriminator may discern between authentic and fabricated operational data and the generator may create deceptive data that mimics the functionality of fictitious assets corresponding to the recognized resource. The GAN may generate fake systems for every identified resource or the network as a whole. The SMF device may cause a suitable generated fake system to serve as a mask for the activity of a resource in the protected system.

Abstract: Methods and systems for dynamically sharing spectrum between a commercial network and a protected system network. A spectrum management firewall (SMF) computing device may receive information from the commercial network, receive characteristic information identifying one or more characteristics of a resource or entity in the protected system network, determine a class of system (COS) and an area of operation (AOO) for the resource or entity based on the characteristic information received from the protected system network, and determine potential interference based on the information received from the commercial network and the characteristic information received from the protected system network. The SMF may determine which frequencies may be suppressed on which cells in the commercial network based on the determined potential interference, generate a suppression message that identifies the determined frequencies per cell, and send the generated suppression message to a component in the commercial network.

Abstract: Methods and systems for dynamically sharing spectrum between a commercial network and a protected system network. A spectrum management firewall (SMF) computing device may receive information from the commercial network, receive characteristic information identifying one or more characteristics of a resource or entity in the protected system network, determine a class of system (COS) and an area of operation (AOO) for the resource or entity based on the characteristic information received from the protected system network, and determine potential interference based on the information received from the commercial network and the characteristic information received from the protected system network. The SMF may determine which frequencies may be suppressed on which cells in the commercial network based on the determined potential interference, generate a suppression message that identifies the determined frequencies per cell, and send the generated suppression message to a component in the commercial network.

Abstract: A method and apparatus is provided for determining coupled path loss in a small geographical which is served by a plurality of transmitters and is subject to broad signal level variation. A method is also provided for determining performance of a signal received by a wireless device located within a bin of a cell of a cellular communication system. The method comprises determining the value of the received signal level as a function of the sum of the signal levels received from a primary base station at a primary cell divided by a number of signal level measurements from the primary base station.

Abstract: In one embodiment, the disclosure relates to a method for determining a path loss value of a signal transmitted from a wireless device and received by a receiver, where the wireless device and the receiver operate within a wireless communication system having at least one cell having at least one sector operating on at least one frequency channel.

Abstract: The instant disclosure generally relates to a method and apparatus for determining path loss by combining geolocation with interference suppression. In one embodiment, the disclosure relates to a method for determining a path loss value between a receiver at a first location and a wireless mobile device at a second location. The method includes the steps of: (a) locating the mobile device at the second location and (b) at the receiver: (i) receiving a first signal transmitted by the mobile device at the second location; (ii) determining a received signal level of the first signal; (iii) receiving a second signal comprising data from which a transmitted signal level of the mobile device at the second location can be determined; and (iv) determining from the first and second signals the path loss value between the receiver and the mobile device at the second location.

Abstract: The disclosure generally relates to method and apparatus for determining coupled path loss in a small geographical which is served by a plurality of transmitters and is subject to broad signal level variation. In one embodiment, the disclosure relates to a method for determining performance of a signal received by a wireless device located within a bin of a cell of a cellular communication system. The method comprises determining the value of the received signal level as a function of the sum of the signal levels received from a primary base station at a primary cell divided by a number of signal level measurements from said primary base station.

Abstract: A system and method of managing collection and maintenance of performance data for a wireless communications network including collecting configuration data for the network, encoding the collected configuration data and storing the data, collecting a transmitted signal, measuring a parameter of the collected signal, and encoding and storing the parameter. These steps are repeated for additional configurations of the network. The transmitted signals are transmitted by a base station or a mobile device. Further, the transmitted signals are collected by a base station or a mobile device.

Abstract: In one embodiment, the disclosure relates to a method for determining a path loss value of a signal transmitted from a wireless device and received by a receiver, where the wireless device and the receiver operate within a wireless communication system having at least one cell having at least one sector operating on at least one frequency channel.

Abstract: A system and method of managing collection and maintenance of performance data for a wireless communications network including collecting configuration data for the network, encoding the collected configuration data and storing the data, collecting a transmitted signal, measuring a parameter of the collected signal, and encoding and storing the parameter. These steps are repeated for additional configurations of the network. The transmitted signals are transmitted by a base station or a mobile device. Further, the transmitted signals are collected by a base station or a mobile device.

Abstract: The instant disclosure generally relates to a method and apparatus for determining path loss by combining geolocation with interference suppression. In one embodiment, the disclosure relates to a method for determining a path loss value between a receiver at a first location and a wireless mobile device at a second location. The method includes the steps of: (a) locating the mobile device at the second location and (b) at the receiver: (i) receiving a first signal transmitted by the mobile device at the second location; (ii) determining a received signal level of the first signal; (iii) receiving a second signal comprising data from which a transmitted signal level of the mobile device at the second location can be determined; and (iv) determining from the first and second signals the path loss value between the receiver and the mobile device at the second location.

Abstract: A method utilizing statistical interpolation techniques to analyze and simulate the spatial variability and continuity of radio frequency data collected from a wireless cellular system. The method is used for cellular system planning and management. After installation and setup of cellular base stations, further analysis and refinement of RF data is implemented to determine signal coverage of the tower, location of RF holes in system, reuse of frequencies, and overlapping RF signals between two or more towers causing interference. The method analyzes raw RF power data that is collected by drive testing a sample of roads in a cellular system. A geostatistical model of the RF propagation at a cellular system is determined through kriging. The RF path loss trend estimation is extracted from each the raw data and modeled to describe data variability across the entire cellular system ares. An estimated path loss signal map is then prepared for any area of interest within a cellular system.

Abstract: A data collection and evaluation method for determination of wireless signal propagation from an incomplete set of measured data. The present invention decodes digital identification information on the channel used to associate the measurement with a wireless antenna and/or sector. The decoding process is limited by interference and low signal levels, therefore, the resulting data will have locations or entire areas where digital identification codes cannot be determined and the signal origination antenna cannot be identified. The present invention introduces geostatistical data interpretation techniques to determine the signal level values at the missing measurement locations. The present invention can obtain a more complete set of data for all sectors in the data collection area, allowing for more accurate performance evaluation and greater planning information. The present invention teaches the application of variogram modeling and kriging for wireless signal propagation modeling.