Shared Spectrum Company

Mark Allen McHenry

Karl Steadman

Dmitry Dain

Olga Ritterbush

Igor Bazarov

Eugene Livis

Jevgenijs Livsics

Filip Perich

Karl L Ginter

Michael Bartman

Alexe E Leu

Tugba Erpek

Eugene Livsics

Peter Tenhula

Thao Tn Nguyen

Youping Zhao

Eugene Livsis

Ajitha Painumkal

A device is disclosed that includes software components for executing actions and for controlling the device in order to conform to specified policies. The device includes a controller to deny or permit execution of actions. The controller monitors and interrupts execution of device's actions in order to determine whether an action violates a policy, policy rules, or if the action is prohibited by a policy. The controller also manages policies defined for the device. Each policy is translated into a language understandable by the controller and stored on the device. Each policy can be updated or changed dynamically. Additionally, each policy can securely be updated or changed remotely.

Method and device for policy-based control of radio

A dynamic spectrum access (DSA) radio communication device includes a plurality of signal classifier modules operating thereon, with each different classifier module able to classify a different radio signal type. A classifier scheduler module is provided to manage classifier use by selecting which classifiers to operate or not to operate and to manage the order that the classifiers are operated in. The communication device is configured to invoke policies that include control elements associated with adjusting the classifier scheduler module. The control elements associated with adjusting the classifier scheduler module tend to reduce the number of classifier cycles required to classify a radio signal. The device includes or can be provided with a plurality of different policies suitable for different radio environments and operating modes. Specifically, different policies may include different classifier control elements suitably matched to the present radio environment and/or operating mode.

DSA radio policy-controlled classifier restriction

A communications system network that enables secondary use of spectrum on a non-interference basis is disclosed. Each secondary transceiver measures the background spectrum. The system uses a modulation method to measure the background signals that eliminates self-generated interference and also identifies the secondary signal to all primary users via on/off amplitude modulation, allowing easy resolution of interference claims. The system uses high-processing gain probe waveforms that enable propagation measurements to be made with minimal interference to the primary users. The system measures background signals and identifies the types of nearby receivers and modifies the local frequency assignments to minimize interference caused by a secondary system due to non-linear mixing interference and interference caused by out-of-band transmitted signals (phase noise, harmonics, and spurs). The system infers a secondary node's elevation and mobility (thus, its probability to cause interference) by analysis of the amplitude of background signals. Elevated or mobile nodes are given more conservative frequency assignments that stationary nodes.

System and method for reuse of communications spectrum for fixed and mobile applications with efficient method to mitigate interference

Systems and methods for configuring a network of radios for dynamic spectrum access are described. A network radio can include hardware and/or software modules for detecting a radio environment and negotiating common communications channels with a plurality of other radios in the network. Network radio behavior can be defined by a plurality of predefined policies which are used in combination with the information about the radio environment to select common operating parameters.

Systems and methods for a cognitive radio having adaptable characteristics

Methods for using a detector to monitor and detect channel occupancy are disclosed. The detector resides on a station within a network using a framed format having a periodic time structure. When non-cooperative transmissions are detected by the network, the detector assesses the availability of a backup channel enabling migration of the network. The backup channel serves to allow the network to migrate transparently when the current channel becomes unavailable. The backup channel, however, could be occupied by another network that results in the migrating network interfering with the network already using the backup channel. Thus, the detector detects active transmission sources on the backup channel to determine whether the backup channel is occupied. Methods for using the detector include scheduling detection intervals asynchronously. The asynchronous detection uses offsets from a reference point within a frame.

Methods for using a detector to monitor and detect channel occupancy

Methods and systems for dynamic spectrum access (DSA) in a wireless network are provided. A DSA-enabled device may sense spectrum use in a region and, based on the detected spectrum use, select one or more communication channels for use. The devices also may detect one or more other DSA-enabled devices with which they can form DSA networks. A DSA network may monitor spectrum use by cooperative and non-cooperative devices, to dynamically select one or more channels to use for communication while avoiding or reducing interference with other devices.

Method and system for dynamic spectrum access

A method for classifying a signal can be used by a station or stations within a network to classify the signal as non-cooperative (NC) or a target signal. The method performs classification over channels within a frequency spectrum. The percentage of power above a first threshold is computed for a channel. Based on the percentage, a signal is classified as a narrowband signal. If the percentage indicates the absence of a narrowband signal, then a lower second threshold is applied to confirm the absence according to the percentage of power above the second threshold. The signal is classified as a narrowband signal or pre-classified as a wideband signal based on the percentage. Pre-classified wideband signals are classified as a wideband NC signal or target signal using spectrum masks.

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McLean, VA, United States of America

Mark Allen McHenry