Powerwave Cognition, Inc.

Raytheon Company

Robert J Breinig

Scott Y Seidel

Roberto Berezdivin

Darrell Young

Allan R Topp

Jay N Livingston

Gary A Luethke

Michael R Franceschini

Mark D Levedahl

Timothy C Brannan

Tin T Ho

Kevin L Chapman

Stephen P Hershey

Bernd-Peter Paris

Shekar A Rao

Communicating between a plurality of nodes includes scanning a set of frequencies to determine spectrum awareness data for one or more frequencies; determining a maximum transmit power for one or more of the frequencies based at least in part on the spectrum awareness data for the frequencies; determining one or more channels, each channel occupying at least a portion of the set of frequencies; and selecting one or more of the one or more channels as a bearer.

Interference avoidance for autonomous dynamic spectrum access systems

Adjusting parameters of a waveform includes facilitating wireless communication between a transmitting node and receiving nodes, where the transmitting node communicates with a receiving node over a channel. Spectrum conditions are estimated, where a spectrum condition describes spectrum utilization in the vicinity of surrounding nodes. Channel conditions are estimated, where a channel condition describes a channel of the plurality of channels. Waveform parameters are adjusted in response to the spectrum conditions and the channel conditions.

Method and apparatus for adjusting waveform parameters for an adaptive air interface waveform

Communicating between a plurality of nodes includes: at one or more of the plurality of nodes, sensing spectrum activity on at least one channel; creating and maintaining at least one spectrum awareness table based at least in part on the sensed spectrum activity, determining at least one selected bearer based on the at least one spectrum awareness table; performing an adaptive control channel initialization operation to detect zero or more neighbor nodes.

Autonomous dynamic spectrum access

In one embodiment, a method for dynamic wireless resource utilization includes monitoring a wireless communication resource; generating wireless communication resource data; using the wireless communication resource data, predicting the occurrence of one or more holes in a future time period; generating hole prediction data; using the hole prediction data, synthesizing one or more wireless communication channels from the one or more predicted holes; generating channel synthesis data; receiving data reflecting feedback from a previous wireless communication attempt and data reflecting a network condition; according to the received data and the channel synthesis data, selecting a particular wireless communication channel from the one or more synthesized wireless communication channels; generating wireless communication channel selection data; using the wireless communication channel selection data, instructing a radio unit to communicate using the selected wireless communication channel; and instructing the radio unit to discontinue use of the selected wireless communication channel after the communication has been completed.

Dynamic wireless resource utilization

In one embodiment, a method for generating an adaptive air interface waveform includes generating a waveform that includes a variable carrier frequency and variable bandwidth signal. The variable bandwidth signal includes one or more subcarriers that are dynamically placeable over a range of frequencies, and each subcarrier is separately modulated according to a direct sequence (DS) spread spectrum (SS) technique. The waveform has an embedded pilot usable to optimize one or more spectrum efficiencies of the waveform. A modulation constellation, a code rate, and a code length of the generated waveform are adapted according to an available spectrum and one or more sub-carrier conditions.

Adaptive air interface waveform

Growing community of inventors

Warrenton, VA, United States of America

Robert J Breinig