Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.

Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.

Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.

Abstract: In one embodiment, a management entity monitors for a change in a convergence rate of spatio-temporal compressive sensing measurements from a plurality of sensors in a sensor network operating according to a measurement matrix up to a halting criterion, and if the change is below a given threshold, determines whether the change is due to impulse noise or due to continued sensed measurements. If continued sensed measurements, the management entity initiates a single-dimensional compressive sensing in a spatial domain at regular time intervals, and identifies and tracks gradient clusters. In response to a change in joint spatio-temporal sparsity of tracked nodes of the gradient clusters, the management entity can then determine an updated measurement matrix based on the joint spatio-temporal sparsity of tracked nodes while satisfying one or more operating parameters, and directs at least certain sensors of the plurality of sensors to operate according to the updated measurement matrix.

Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.

Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.

Abstract: In one embodiment, a supervisory service for a wireless network computes a compressive sensing schedule for a plurality of sensors in the wireless network. The service sends target wake time (TWT) messages to a subset of the plurality of sensors according to the computed compressive sensing schedule. The service receives, in response to the TWT messages, sensor readings from the subset of the plurality of sensors. The service performs compressive sensing on the received sensor readings.

Abstract: In one embodiment, a device in a network receives, at its wireless receiver, a preamble of a spatially modulated packet. The device analyzes the preamble of the packet to identify a transmit antenna index of the packet. The device determines that the packet was not destined for the device, based on the transmit antenna index of the packet. The device depowers, prior to decoding the complete packet, the wireless receiver of the device, based on the determination that the packet was not destined for the device.

Abstract: In one embodiment, a device in a network receives, at its wireless receiver, a preamble of a spatially modulated packet. The device analyzes the preamble of the packet to identify a transmit antenna index of the packet. The device determines that the packet was not destined for the device, based on the transmit antenna index of the packet. The device depowers, prior to decoding the complete packet, the wireless receiver of the device, based on the determination that the packet was not destined for the device.

Abstract: In one embodiment, a supervisory service for a wireless network computes a compressive sensing schedule for a plurality of sensors in the wireless network. The service sends target wake time (TWT) messages to a subset of the plurality of sensors according to the computed compressive sensing schedule. The service receives, in response to the TWT messages, sensor readings from the subset of the plurality of sensors. The service performs compressive sensing on the received sensor readings.

Abstract: In one embodiment, a management entity monitors for a change in a convergence rate of spatio-temporal compressive sensing measurements from a plurality of sensors in a sensor network operating according to a measurement matrix up to a halting criterion, and if the change is below a given threshold, determines whether the change is due to impulse noise or due to continued sensed measurements. If continued sensed measurements, the management entity initiates a single-dimensional compressive sensing in a spatial domain at regular time intervals, and identifies and tracks gradient clusters. In response to a change in joint spatio-temporal sparsity of tracked nodes of the gradient clusters, the management entity can then determine an updated measurement matrix based on the joint spatio-temporal sparsity of tracked nodes while satisfying one or more operating parameters, and directs at least certain sensors of the plurality of sensors to operate according to the updated measurement matrix.

Abstract: In one embodiment, a method is performed. A first wireless access point (AP) device may generate a timing synchronization frame. The timing synchronization frame may include a target beacon transmission time (TBTT) associated with the first wireless AP device. The first wireless AP device may transmit the timing synchronization frame to a second wireless AP device. The first and second wireless AP devices may be synchronized using the timing synchronization frame.

Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.

Abstract: In one embodiment, a method is performed. A first wireless access point (AP) device may generate a timing synchronization frame. The timing synchronization frame may include a target beacon transmission time (TBTT) associated with the first wireless AP device. The first wireless AP device may transmit the timing synchronization frame to a second wireless AP device. The first and second wireless AP devices may be synchronized using the timing synchronization frame.

Abstract: A method for transmitting a data transmission based on the classification of an interfering signal is described. The method comprises transmitting a first data transmission within a frequency band and detecting an interfering signal within the frequency band. The method comprises classifying the interfering signal as one of a plurality of interfering signal types. The method comprises transmitting, based on the classification, a second data transmission within the frequency band.

Abstract: A method for transmitting a data transmission based on the classification of an interfering signal is described. The method comprises transmitting a first data transmission within a frequency band and detecting an interfering signal within the frequency band. The method comprises classifying the interfering signal as one of a plurality of interfering signal types. The method comprises transmitting, based on the classification, a second data transmission within the frequency band.

Abstract: According to one embodiment of the invention, an integrated circuit comprises an encoding module, a modulation module and a spectral shaped module. The encoding module includes an interleaver that adapted to operate in a plurality of modes including a first mode and a second mode. The interleaver performs repetitive encoding when placed in the second mode. The modulation module is adapted to compensate for attenuations that are to be realized during propagation of a transmitted signal over the power line. The spectral shaped module is adapted to compensate for amplitude distortion and further compensates for attenuations that will be realized during propagation of the transmitted signal over the power line.

Abstract: According to one embodiment of the invention, an integrated circuit comprises an encoding module, a modulation module and a spectral shaped module. The encoding module includes an interleaver that adapted to operate in a plurality of modes including a first mode and a second mode. The interleaver performs repetitive encoding when placed in the second mode. The modulation module is adapted to compensate for attenuations that are to be realized during propagation of a transmitted signal over the power line. The spectral shaped module is adapted to compensate for amplitude distortion and further compensates for attenuations that will be realized during propagation of the transmitted signal over the power line.

Abstract: According to one embodiment of the invention, an integrated circuit comprises an encoding module, a modulation module and a spectral shaped module. The encoding module includes an interleaver that adapted to operate in a plurality of modes including a first mode and a second mode. The interleaver performs repetitive encoding when placed in the second mode. The modulation module is adapted to compensate for attenuations that are to be realized during propagation of a transmitted signal over the power line. The spectral shaped module is adapted to compensate for amplitude distortion and further compensates for attenuations that will be realized during propagation of the transmitted signal over the power line.

Abstract: An embodiment is a method and apparatus to decode a signal using channel information. A channel state estimator generates a tone value representing channel information. A quantizer quantizes the tone value. A combiner combines de-interleaved symbols weighed by the quantized tone value. A comparator compares the combined de-interleaved symbols with a threshold to generate a decoding decision. Another embodiment is a method and apparatus to decode a signal using averaging. A channel estimator provides a channel estimate. A multiplier multiplies a quantized output of a demodulator with the channel estimate to produce N symbols of a signal corresponding to a carrier. A de-interleaver de-interleaves the N symbols. An averager averages the N de-interleaved symbols to generate a channel response at a carrier.