Abstract: Systems and methods may include one or more devices associated with a relay network. In some examples, a relay device may be configured to determine, based at least partly on a control signal received from a destination device on a first carrier frequency, channel estimates for a channel between the relay device and the destination device. The device may determine, based at least partly on the channel estimates, a weighting function for transmissions from the relay device to the destination device. The device may generate baseband samples based on a down-conversion, from a second carrier frequency to a baseband frequency, of one or more incoming RF signals and apply the weighting function to the baseband samples to generate weighted baseband samples. The device may generate an outgoing RF signal based on an up-conversion of the weighted baseband samples from the baseband frequency to the first carrier frequency.

Abstract: Certain disclosed embodiments pertain to suppressing interference in a wireless communication system. For example, a method of suppressing interference can include receiving one, two, or more first signals including components from a plurality of sub-channels.

Abstract: A wireless communication system may include a plurality of nodes that use a medium access control (MAC) protocol to communicate over a shared medium or a primary channel. The MAC protocol may include a non-transmitting state during which one or more nodes are silent in the primary channel while two nodes in the wireless communication system are in communicating over the primary channel. Systems and methods described herein use medium access protocol (MAC) underlay signaling, which may include measuring or sensing availability for spectrum or transmitting data without the loss of network throughput over a secondary channel in a wireless communications system. In some embodiments, the systems and methods described herein use dynamic spectrum access (DSA) protocols to switch the channel of communication in the wireless communication system.

Abstract: Methods and systems are provided for handling nonlinearity corrections during analog-to-digital conversions. A system for handling nonlinearity corrections may include a modem configured to receive a communication signal and generate a frequency spectrum of the communication signal, and a digital signal processor (DSP) configured to analyze the frequency spectrum of the communication signal to determine one or more characteristics of the communication signal, which may occur due to a nonlinear device that operates on the communication signal. The DSP may generate a corrected digital signal by applying a compensation signal to a distorted digital signal generated as a result of application of analog-to-digital conversion to the communication signal. The DSP may generate the compensation signal based on nonlinearity estimation and a spectral analysis of the corrected digital signal.

Abstract: Nonlinearity correction in a device that performs analog-to-digital conversion on received analog signals, may be calibrated by generating correction-parameters estimation which when applied to the total spectral content reduces distortion resulting from said nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity calibration may be performed during reception and handling of said analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.

Abstract: Nonlinearity correction in a device that performs analog-to-digital conversion on received analog signals, may be calibrated by generating correction-parameters estimation which when applied to the total spectral content reduces distortion resulting from said nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity calibration may be performed during reception and handling of said analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.

Abstract: Methods and systems are provided for reconstructing bands in received signals. A first band in a received multiband signal may be reconstructed, during processing of the multiband signal, when the first band is self-aliased during sampling of a second band. The reconstructing may comprise generating a plurality of components corresponding to the first band, based on the sampling of the second band, and combining the plurality of components to reconstruct the first band. Generating a first component may comprise applying high-pass filtering and/or decimation to an input corresponding to an output of the sampling of the second band. Generating a second component may comprise applying low-pass filtering and/or re-sampling to an input corresponding to an output of the sampling of the second band. An adjustment may be applied, when generating the second component, based on sampling of the first band. The adjustment may comprise a subtraction from sampling output.

Abstract: A wireless communication system may include a plurality of nodes that use a medium access control (MAC) protocol to communicate over a shared medium or a primary channel. The MAC protocol may include a non-transmitting state during which one or more nodes are silent in the primary channel while two nodes in the wireless communication system are in communicating over the primary channel. Systems and methods described herein use medium access protocol (MAC) underlay signaling, which may include measuring or sensing availability for spectrum or transmitting data without the loss of network throughput over a secondary channel in a wireless communications system. In some embodiments, the systems and methods described herein use dynamic spectrum access (DSA) protocols to switch the channel of communication in the wireless communication system.

Abstract: A method and apparatus for selective programmable filtering using analog circuits with time-varying components (e.g., resistances, capacitances) is presented. An analog front end receives an electronic signal and filters said signal by a passive or active continuous-time filter, having a combination of equivalent memory-less (e.g., resistive) and memory (e.g., capacitive or inductive) elements. A variable resistor circuit allows switching through a range of values to control one or more of the equivalent resistances of the passive or active continuous-time filter. The variable resistors are controlled using a control circuit to periodically modulate the resistances in the continuous-time filter between periodic sampling instances, such as during analog to digital conversion. Such periodic modulation of the resistances in the continuous-time filter allows for the programming and enhancement of the selectivity of said filter.

Abstract: Methods and systems are provided for reconstructing bands in received signals. A first band in a received multiband signal may be reconstructed, during processing of the multiband signal, when the first band is self-aliased during sampling of a second band. The reconstructing may comprise generating a plurality of components corresponding to the first band, based on the sampling of the second band, and combining the plurality of components to reconstruct the first band. Generating a first component may comprise applying high-pass filtering and/or decimation to an input corresponding to an output of the sampling of the second band. Generating a second component may comprise applying low-pass filtering and/or re-sampling to an input corresponding to an output of the sampling of the second band. An adjustment may be applied, when generating the second component, based on sampling of the first band. The adjustment may comprise a subtraction from sampling output.

Abstract: Methods and systems are provided for generating correction estimates. Training signals may be injected into one or more particular spectral regions, and one or more correction estimation parameters may be determined based on the injecting of the training signals, where the one or more correction estimation parameters reduce distortion in at least the one or more particular spectral regions. The particular spectral regions may comprise originally-unoccupied spectral regions. The one or more correction estimation parameters may be applied during correcting of digital signals generated based on processing of received analog signals. The training signals may be generated, such as based on one or more pre-defined characteristics. The one or more correction estimation parameters may then be determined based on the one or more pre-defined characteristics of the training signals and/or changes thereto.

Abstract: Methods and systems are provided for generating correction estimates. Training signals may be injected into one or more particular spectral regions, and one or more correction estimation parameters may be determined based on the injecting of the training signals, where the one or more correction estimation parameters reduce distortion in at least the one or more particular spectral regions. The particular spectral regions may comprise originally-unoccupied spectral regions. The one or more correction estimation parameters may be applied during correcting of digital signals generated based on processing of received analog signals. The training signals may be generated, such as based on one or more pre-defined characteristics. The one or more correction estimation parameters may then be determined based on the one or more pre-defined characteristics of the training signals and/or changes thereto.

Abstract: Methods and systems are provided for calibrating nonlinearity correction during analog-to-digital conversions on received analog signals. Correction-parameters may be estimated, such as to reduce, when applied to total spectral content, distortion resulting from the nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity correction calibration may be performed during reception and handling of the analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.

Abstract: A method and apparatus for selective programmable filtering using analog circuits with time-varying components (e.g., resistances, capacitances) is presented. An analog front end receives an electronic signal and filters said signal by a passive or active continuous-time filter, having a combination of equivalent memory-less (e.g., resistive) and memory (e.g., capacitive or inductive) elements. A variable resistor circuit allows switching through a range of values to control one or more of the equivalent resistances of the passive or active continuous-time filter. The variable resistors are controlled using a control circuit to periodically modulate the resistances in the continuous-time filter between periodic sampling instances, such as during analog to digital conversion. Such periodic modulation of the resistances in the continuous-time filter allows for the programming and enhancement of the selectivity of said filter.

Abstract: Methods and systems are provided for calibrating nonlinearity correction during analog-to-digital conversions on received analog signals. Correction-parameters may be estimated, such as to reduce, when applied to total spectral content, distortion resulting from the nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity correction calibration may be performed during reception and handling of the analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.

Abstract: Nonlinearity correction in a device that performs analog-to-digital conversion on received analog signals, may be calibrated by generating correction-parameters estimation which when applied to the total spectral content reduces distortion resulting from said nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity calibration may be performed during reception and handling of said analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.

Abstract: Nonlinearity correction in a device that performs analog-to-digital conversion on received analog signals, may be calibrated by generating correction-parameters estimation which when applied to the total spectral content reduces distortion resulting from said nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity calibration may be performed during reception and handling of said analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.