Abstract: Methods and systems are described for determining a plurality of transmission levels for, e.g., a plurality of time-frequency channels and/or a plurality of tones. The transmission levels may be determined by a first node based on, for example, a received transmission from a second node. The first node may generate a signal, which may be based on, for example, an originator-based pseudorandom sequence, a recipient-based pseudorandom sequence, and/or a complex sinusoid. The first node may transmit the signal as an orthogonal frequency division multiplexing (OFDM) transmission.

Abstract: Methods and systems are described for determining a plurality of transmission levels for, e.g., a plurality of time-frequency channels and/or a plurality of tones. The transmission levels may be determined by a first node based on, for example, a received transmission from a second node. The first node may generate a signal, which may be based on, for example, an originator-based pseudorandom sequence, a recipient-based pseudorandom sequence, and/or a complex sinusoid. The first node may transmit the signal as an orthogonal frequency division multiplexing (OFDM) transmission.

Abstract: Methods and systems are described for generating a signal, which may be based on, for example, a pseudorandom sequence associated with a group of nodes, a pseudorandom sequence associated with a recipient, and/or a complex sinusoid. The first node may transmit the signal as an orthogonal frequency division multiplexing (OFDM) transmission.

Abstract: A method is explained for any adaptive processor processing digital signals by adjusting signal weights on digital signal(s) it handles, to optimize adaptation criteria responsive to a functional purpose or externalities (transient, temporary, situational, and even permanent) of that processor. Adaptation criteria for the adaptive algorithm may be any combination of a signal or parameter estimation, and measured quality(ies). This method performs a linear transformation adapting parameters from M to (M1+L) dimensions in each adaptation event, such that M1 weights are updated without constraints and M0=M?M1 weights are forced by soft constraints into an L-dimensional subspace they spanned at the beginning of the adaptation period. The same dimensionality reduction, using the same linear transformation, is applied to the input data.

Abstract: Methods and systems are described for determining a plurality of transmission levels for, e.g., a plurality of time-frequency channels and/or a plurality of tones. The transmission levels may be determined by a first node based on, for example, a received transmission from a second node. The first node may generate a signal, which may be based on, for example, an originator-based pseudorandom sequence, a recipient-based pseudorandom sequence, and/or a complex sinusoid. The first node may transmit the signal as an orthogonal frequency division multiplexing (OFDM) transmission.

Abstract: An apparatus for generating at least one signal based on at least one aspect of at least two received signals is provided. The apparatus comprises: a diverse antennae array of M antennae, where M is greater than or equal to two; at least one multiple-input and multiple-output capable transceiver in communication with each antenna in the diverse antennae array of M antennae; encoding circuitry capable of causing first data to be encoded; decoding circuitry capable of causing second data to be decoded; and processing capable of causing diversity combining, where the processing circuitry is in communication with the multiple-input and multiple-output capable transceiver, the encoding circuitry, and the decoding circuitry.

Abstract: An apparatus for generating at least one signal based on at least one aspect of at least two received signals is provided. The apparatus comprises: a diverse antennae array of M antennae, where M is greater than or equal to two; at least one multiple-input and multiple-output capable transceiver in communication with each antenna in the diverse antennae array of M antennae; encoding circuitry capable of causing first data to be encoded; decoding circuitry capable of causing second data to be decoded; and processing capable of causing diversity combining, where the processing circuitry is in communication with the multiple-input and multiple-output capable transceiver, the encoding circuitry, and the decoding circuitry.

Abstract: Methods and systems are described for transmitting data using various selected resources. For example, first one or more resources may be selected based at least in part on feedback from a first network node. A second network node may cause first data to be transmitted using the selected one or more resources. The second network node may also cause second data to be transmitted using second one or more resources. The resources may comprise, for example, tones, time slots, time-frequency channels, time resources, and/or frequency resources.

Abstract: An apparatus for generating at least one signal based on at least one aspect of at least two received signals is provided. The apparatus comprises: a diverse antennae array of M antennae, where M is greater than or equal to two; at least one multiple-input and multiple-output capable transceiver in communication with each antenna in the diverse antennae array of M antennae; encoding circuitry capable of causing first data to be encoded; decoding circuitry capable of causing second data to be decoded; and processing capable of causing diversity combining, where the processing circuitry is in communication with the multiple-input and multiple-output capable transceiver, the encoding circuitry, and the decoding circuitry.

Abstract: A method and apparatus for physically secure communication over machine-to-machine (M2M) networks is claimed, through the use of frequency-hop and random access spread spectrum modulation formats employing using truly random spreading codes and time/frequency hopping and receiver selection strategies at the transmitters in the M2M network, blind signal detection and linear signal separation techniques at the receivers in the M2M network, completely eliminating the ability for an adversary to predict and override M2M transmissions. Additional physical security protocols are also introduced that allow the network to easily detect and identify spoofing transmissions on uplinks and downlinks, and to automatically excise those transmissions as part of the despreading procedure, even if those transmissions are received at a much higher power level than the intended transmissions.

Abstract: An apparatus for generating at least one signal based on at least one aspect of at least two received signals is provided. The apparatus comprises: a diverse antennae array of M antennae, where M is greater than or equal to two; at least one multiple-input and multiple-output capable transceiver in communication with each antenna in the diverse antennae array of M antennae; encoding circuitry capable of causing first data to be encoded; decoding circuitry capable of causing second data to be decoded; and processing capable of causing diversity combining, where the processing circuitry is in communication with the multiple-input and multiple-output capable transceiver, the encoding circuitry, and the decoding circuitry.

Abstract: An apparatus for generating at least one signal based on at least one aspect of at least two received signals is provided. The apparatus comprises: a diverse antennae array of M antennae, where M is greater than or equal to two; at least one multiple-input and multiple-output capable transceiver in communication with each antenna in the diverse antennae array of M antennae; encoding circuitry capable of causing first data to be encoded; decoding circuitry capable of causing second data to be decoded; and processing capable of causing diversity combining, where the processing circuitry is in communication with the multiple-input and multiple-output capable transceiver, the encoding circuitry, and the decoding circuitry.

Abstract: An apparatus for generating at least one signal based on at least one aspect of at least two received signals is provided. The apparatus comprises: a diverse antennae array of M antennae, where M is greater than or equal to two; at least one multiple-input and multiple-output capable transceiver in communication with each antenna in the diverse antennae array of M antennae; encoding circuitry capable of causing first data to be encoded; decoding circuitry capable of causing second data to be decoded; and processing capable of causing diversity combining, where the processing circuitry is in communication with the multiple-input and multiple-output capable transceiver, the encoding circuitry, and the decoding circuitry.

Abstract: An apparatus is provided. The apparatus comprises: transceiver hardware that is capable of receiving data utilizing multiple simultaneously-received polarization diverse or spatial diverse channels and includes at least one receiver wireless element that is orthogonal frequency division multiplexing-capable and at least one transmitter wireless element; and circuitry capable of working in association with the transceiver hardware.

Abstract: An apparatus for modulating transmit data and adding a cyclic prefix to the transmit data is provided. The apparatus comprises: transceiver hardware that is capable of receiving receive data utilizing multiple input channels and includes at least one first wireless element that is orthogonal frequency division multiplexing-capable, and at least one second wireless element; and circuitry capable of working in association with the transceiver hardware. In operation, the apparatus is configured so as to cause transmission of at least one transmit signal including at least a portion of the transmit data to a node. The apparatus is further configured so as to allow adaptive routing utilizing another route different from a previous route. In addition, the apparatus is configured such that the adaptive routing includes allowing routing as a function of a link quality associated with at least one link.

Abstract: An apparatus for calculating weights associated with a first signal and applying the weights to a second signal is provided. The apparatus comprises: at least two antennas; a multiple-input and multiple-output capable transceiver in communication with each of the at least two antennas; processing circuitry capable of causing diversity combining, the processing circuitry in communication with the multiple-input and multiple-output capable transceiver, the processing circuitry capable of causing the apparatus to: receive a first signal, calculate weights associated with the first signal, and apply the weights to transmit data. Additionally, the apparatus is configured such that the at least two antennas are capable of transmitting a second signal including the transmit data to a multiple-input capable node.

Abstract: An apparatus for calculating weights associated with a received signal and applying the weights to transmit data is provided. The apparatus comprises: at least two antennas; a multiple-input and multiple-output capable transceiver in communication with each of the at least two antennas; and processing circuitry capable of causing diversity combining, the processing circuitry in communication with the multiple-input and multiple-output capable transceiver. In operation, the processing circuitry is capable of causing the apparatus to: receive a first signal, calculate weights associated with the first signal, and apply the weights to transmit data. Additionally, the apparatus is configured such that the at least two antennas are capable of transmitting a second signal including the transmit data to a multiple-input capable node.

Abstract: Using at least one MIMO-capable transceiver allows weighting calculations for signals transmitted and received, and enables individual packets to adapt, in a scalable, flexible, and responsive fashion to the real-world dynamics of a continuously varying communications network environment. The method and system of this invention use adaptively-derived diversity means to rapidly and efficiently distinguish the desired signal from noise, network interference, and external interference impinging on the network's transceivers and can transmit with lessened overhead. ADC operations and signal transformations continuously update combiner weights to match dynamically-varying environmental and traffic conditions, thereby continuously matching necessitated signal and waveform transformations with environmental and signal effects and sources.

Abstract: Using at least one MIMO-capable transceiver allows weighting calculations for signals transmitted and received, and enables individual packets to adapt, in a scalable, flexible, and responsive fashion to the real-world dynamics of a continuously varying communications network environment. The method and system of this invention use adaptively-derived diversity means to rapidly and efficiently distinguish the desired signal from noise, network interference, and external interference impinging on the network's transceivers and can transmit with lessened overhead. ADC operations and signal transformations continuously update combiner weights to match dynamically-varying environmental and traffic conditions, thereby continuously matching necessitated signal and waveform transformations with environmental and signal effects and sources.

Abstract: An apparatus for transmitting a signal including the transmit data to a multiple-input capable node is provided. The apparatus comprises: at least two antennas; a multiple-input and multiple-output capable transceiver in communication with each of the at least two antennas; encoding circuitry capable of causing first data to be encoded; decoding circuitry capable of causing second data to be decoded; processing circuitry capable of causing diversity combining, the processing circuitry being in communication with the multiple-input and multiple-output capable transceiver, the encoding circuitry, and the decoding circuitry. In operation, the processing circuitry is capable of causing the apparatus to: receive a first signal, calculate weights associated with the first signal, apply the weights to transmit data, and add a cyclic prefix to the transmit data.