L3harris Technologies, Inc.

L3 Technologies, Inc.

Brent A Kenney

Matthew J Reimann

Brian J Thorp

Thomas R Giallorenzi

Jeffrey B Bench

Philip M Hirz

Patrick L Newbold

Radivoje Zarubica

Jason Wilden

Phillip M Hirz

Seth John Thorup

Stephen N Jenkins

Kyle R Morrey

James E Hawker

Rhett B McCarthy

Lee F Carter

Edwin J Hemphill

N Thomas Nelson

Andrew L Nelson

Marc Padilla

Edwin R Twitchell

Michael S Feeney

James E Peterson

Chad S Komer

Benjamin C Dean

Christopher S Heffernan

Scott A Carey

Phillip Hunt

Marley D Hamblin

Rhett B Mccarthy

Radijove Zarubica

Bryan J Thorp

Brian L Thorp

Selecting a control channel set in a communication system involves monitoring received signals to identify a plurality of nodes of interest (NOI) and determining E/Nvalues for a plurality of control channels. For this purpose, a data metric and spectral data can be provided to the communication device by the respective NOI for which E/Nvalues are being determined. A comparison is made of the E/Nvalues for all NOI to select an optimal control channel set. The optimal control channel set is then used by the communication device to transmit the control channel information to the plurality of NOI.

Control channel diversity selection

Indicating to a receiver node in a network that the receiver node should begin tracking signal to noise ratio (SNR) of a received signal for a new power and rate (PAR) interval for data sent from a transmitter node. A method includes determining that a new PAR interval is beginning. The method further includes adding an identifier to a data block. The identifier corresponds to the new PAR interval. The method further includes sending the data block from the transmitter node to the receiver node, where the receiver node will use the identifier to determine that a new tracking interval of SNR should be performed for the data block and subsequent data blocks having the identifier.

Deterministic power and rate control

A transmitter in a frequency domain duplexing (FDD) network system is configured to receive spectral information from neighbor receiver nodes. For each of the neighbor receiver nodes, the transmitter computes an SNR at each of the plurality of frequencies, forming an SNR curve. For each of the transmit frequencies, the transmitter identifies minimum SNR values among the SNR values on the SNR curves. The minimum SNR values form a composite minimum curve. Based on the composite minimum curve, the transmitter determines whether an SNR of a current transmit frequency is above (1) a first threshold associated with an operating SNR, or (2) a second threshold associated with a maximum of the composite minimum curve. Based on the determination, the transmitter determines whether a new transmit frequency is selected to replace the current transmit frequency.

Frequency selection in a frequency domain duplexing network

A hardware system for simulating a network physical layer for communication channels. The hardware system includes a plurality of hardware processors configurable to model a physical layer and communication channels. The hardware system includes a first interface coupled to the plurality of hardware processors. The first interface is configured to be coupled to a software simulator comprising a physics model configured to provide model parameters based on modeled communication hardware and a temporal modeling scenario. A second interface is coupled to the plurality of hardware processors. The second interface is configured to be coupled to simulated or real nodes for sending and receiving network data to and from the nodes. The hardware processors are configured to model effects of the physical layer and communication channels on the network data.

Modeling waveform physical layer and channel for simulation using custom hardware

A system for simulating lost data packets. The system includes a first hardware register storing data for fast factors. The fast factors include factors that are time independent with respect to particular data packets. A second hardware register stores slow factors. The slow factors include factors that are time dependent on data packets. Synchronization hardware is coupled to the second hardware register and synchronizes the slow factors with specific data inputs based on dependencies on the data packets. A hardware adder is coupled to the first hardware register and the second hardware register to compute a link budget. The link budget is used in determine probability of loss of data packets. A hardware processor coupled to the hardware adder determines, based on the link budget, if a data packet should be dropped, and when the data packet should be dropped, drops the data packet for simulating a network physical layer.

Synchronizing dynamic link budgets with FPGA based simulation waveform state machines

Systems and methods for evaluating link performance over a multitude of frequencies for Signal-to-Noise Ratio (SNR) optimization and mitigating interference. The methods comprise: communicating, from a first communication device, a first signal over a given channel in a given frequency band; receiving, by the first communication device, spectral power measurements and a Signal-to-Total Power Ratio (STPR) estimate determined based on a second signal including the first signal combined with at least one of noise and one or more interference signals (the STPR estimate accounts for the receiver performance including chip rate processing gain and/or the performance of an interference cancellation circuit used to remove the interference signals from the second signal); and determining, by the first communication device, a predicted Signal-to-Noise Ratio (SNR) condition for a plurality of frequencies within the given frequency band using the STPR estimate and the spectral power measurements.

Systems and methods for decentralized link performance

Compensating for antenna gain losses due to attitude changes of a mobile local node in a network. A method includes at the local node, identifying an attitude change of the local node. As a result of identifying the attitude change of the local node, the method includes increasing a target SNR of forward data directed to one or more remote nodes by a boost value. As a result of identifying the attitude change of the local node, the method includes causing the remote node to adjust at least one of power or rate to compensate for the attitude change for subsequent reverse data sent from the remote node to the local node.

Proactive power and rate control algorithm for dynamic platforms in a mesh network

A communications system may include mobile communications nodes operating according to a current topology and reconfigurable to a new topology. Each mobile communications node may include a wireless transceiver, and a controller configured to transmit spectral performance data to adjacent nodes and receive spectral performance data from the adjacent nodes. The controller may identify potential topologies for the adjacent nodes based on the spectral performance data, select a subset of potential topologies from among the potential topologies, generate a respective performance score for each potential topology of the subset of potential topologies, and switch to a new topology from among the subset of potential topologies based upon the performance scores.

Communications system reconfigurable to different topologies and associated methods

Providing signal-to-noise ratio information to a local transmitter node. A method includes receiving data in a signal transmitted on a data channel from the local transmitter node. A first signal-to-total-power ratio for the signal assuming no jamming of the signal is occurring is computed. A second signal-to-total-power ratio for the signal with factors included assuming jamming is occurring is computed. The first signal-to-total-power ratio to the second signal-to-total-power ratio are compared to determine if they differ by a predetermined amount. The method includes determining that the predetermined amount is exceeded, and as a result, a jammed signal-to-noise ratio is computed assuming jamming is occurring. The jammed signal-to-noise ratio is sent to the local transmitter node to allow the local transmitter to respond to the jammed signal-to-noise ratio.

Abrupt interference mitigation

Joining subnets in mobile ad-hoc network (MANET) environment. A method includes, based on SNR, power and data rate information between a first gateway node for a first subnet and a second gateway node for a second subnet, determining a rate at which the first and the second subnets can connect if nodes in the first subnet reduce signal transmit rate to a predetermined level. The method further includes as a result of determining that the determined rate meets or exceeds a predetermined threshold, then joining the first and second subnets by joining the first and second subnets via the first and second gateway nodes and causing nodes in the first subnet to reduce signal transmit rate to the predetermined level.

Gateway link management between disjoint subnetworks in a CDMA MANET

Determining maximum transmit power by a local node. A method includes identifying one-hop neighbor nodes of the local node in the mesh network. One or more threshold maximum changes in interference caused by the local node increasing its transmit power for each of the one-hop neighbor nodes of the local node are identified. A plurality of power change values are identified. Each power change value in the plurality of power change values corresponds to a power change at the local node that would cause one of the threshold maximum changes in interference to occur at a corresponding one-hop neighbor node of the local node. A lowest power change value from among the plurality of power change values is identified. As a result, power transmitted by the local node is increased, while limiting an increase in power transmitted by the local node to no more than the lowest power change value.

Conscientious power and rate adaptation in a CDMA manet

Sending network data. A method includes transmitting data on a communication link, in an environment. A network control overhead portion of the data is allocated to network control overhead data packets for controlling how data is transmitted on the communication link. A user data portion of the data is allocated to user data packets for transmitting data between users of nodes on the communication link. A change in data capacity of the communication link is identified. As a result, a change is made in the network control overhead portion of the data, changing at least one of frequency of network control overhead data packets or size of network control overhead data packets to attempt to maintain a predetermined proportion factor for the network control overhead portion as compared to the user data portion. The network control overhead portion of the data is transmitted according to the change.

Scalable network overhead for contested environments

Transmitting data in a mesh network. A method includes identifying points on a piecewise continuous surface. The piecewise continuous surface defines minimum threshold power values to maintain a predetermined signal-to-noise ratio at a predetermined bitrate for a transmitter node transmitting to one or more receiver nodes in the mesh network. Points of a constant total power surface are identified defining required ratios of transmitting power for transmitting sources of the transmitter node. One or more points on the piecewise continuous surface that intersect with the constant total power surface are identified. As a result, transmitting power levels for the transmitting sources of the transmitter node are identified. As a result, data is transmitted at or above transmitting power levels, using the transmitting sources.

Power and rate control algorithm for multi-antenna communication links in a mesh network

Optimizations are provided for controlling an amount of radiated power (i.e. spectral flux density) that is being transmitted to a particular location. To that end, one or more antennas are used to transmit a power signal. Then, position information for each of those antennas is determined. Additionally, environmental information for the environment in which the antennas are operating is also determined. Also, an antenna radiation pattern for each of those antennas is also determined. Thereafter, how much power is radiated to a particular location is controlled so that the power never exceeds a certain threshold value. This control is achieved by dynamically adjusting the transmit power of the antennas based on the information obtained from the position information, the environmental information, and the antenna radiation pattern information.

Navigation aware power limiting

Transmitting a probe signal. A method includes transmitting a signal, having a predetermined total power, during a transmit cycle. The signal has a traffic channel transmitting user data and a probe channel to locate new nodes to add to the network. The transmit channel uses a first portion of the total power and the probe channel uses a second portion of the total power. The method further includes performing a probe cycle by lowering the power in the first portion of the total power and raising the power in the second portion of the total power, but maintaining the total power at the same level as the total power during the transmit cycle. The method further includes, after the probe cycle, raising the power in the first portion of the total power and lowering the power in the second portion of the total power.

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Bountiful, UT, United States of America

Brent A Kenney