A host and one or more devices can communicate with each other using signals that couple communication data with power. The host can transmit the coupled data and the other device can decouple the communication data from the power. Further, the receiving device can replicate the transmitted communication signal without digital signal processing. The host and the devices can communicate with each other using a data frame in which one of the devices initially generates a first portion of the data frame and transmits the first portion, and the other device subsequently generates and transmits a second portion of the data frame. The data frame may include one or more frame sync data used to calibrate and align clock signals from clock circuits. Systems and methods for identifying data when a system is unaware of the protocol are also shown.

A host and one or more devices can communicate with each other using signals that couple communication data with power. The host can transmit the coupled data and the other device can decouple the communication data from the power. Further, the receiving device can replicate the transmitted communication signal without digital signal processing. The host and the devices can communicate with each other using a data frame in which one of the devices initially generates a first portion of the data frame and transmits the first portion, and the other device subsequently generates and transmits a second portion of the data frame. The data frame may include one or more frame sync data used to calibrate and align clock signals from clock circuits. Systems and methods for identifying data when a system is unaware of the protocol are also shown.

A host and one or more devices can communicate with each other using signals that couple communication data with power. The host can transmit the coupled data and the other device can decouple the communication data from the power. Further, the receiving device can replicate the transmitted communication signal without digital signal processing. The host and the devices can communicate with each other using a data frame in which one of the devices initially generates a first portion of the data frame and transmits the first portion, and the other device subsequently generates and transmits a second portion of the data frame. The data frame may include one or more frame sync data used to calibrate and align clock signals from clock circuits. Systems and methods for identifying data when a system is unaware of the protocol are also shown.

A host and one or more devices can communicate with each other using signals that couple communication data with power. The host can transmit the coupled data and the other device can decouple the communication data from the power. Further, the receiving device can replicate the transmitted communication signal without digital signal processing. The host and the devices can communicate with each other using a data frame in which one of the devices initially generates a first portion of the data frame and transmits the first portion, and the other device subsequently generates and transmits a second portion of the data frame. The data frame may include one or more frame sync data used to calibrate and align clock signals from clock circuits. Systems and methods for identifying data when a system is unaware of the protocol are also shown.

A mobile communication device may include a radio transceiver configured to transmit and receive communication signals, and a baseband modem circuit configured to determine a decoded information field of a first encoded system information packet, set one or more bits of the decoded information field as an initial encoder state of a convolutional decoder for decoding the first encoded system information packet, decode the first encoded system information packet with the initial encoder state to obtain a first decoded system information packet, and use the decoded system information packet to transmit or receive data with one or more network cells.

Nonzero elements of a signal vector, which may be a sparse signal vector, may be determined based on an observation vector representing a set of underdetermined observations using a compressed sensing optimization and a non-underdetermined estimation method such as iterative linear minimum mean-square error (LMMSE) estimation. Compressed sensing optimization may be used to obtain a subset of potentially nonzero elements of the signal vector, and LMMSE estimation may then be used to find the nonzero elements among the potentially nonzero elements. The identification of nonzero elements may then be used to recover the signal vector from the observation vector. This technique is useful for recovering compressed data such as a sparse frequency space representation of audio or video data from a measurement. The technique is also useful for identifying at a base station a relatively small number active devices in an overloaded communication network.

A mobile communication device may include a radio transceiver configured to transmit and receive communication signals, and a baseband modem circuit configured to determine a decoded information field of a first encoded system information packet, set one or more bits of the decoded information field as an initial encoder state of a convolutional decoder for decoding the first encoded system information packet, decode the first encoded system information packet with the initial encoder state to obtain a first decoded system information packet, and use the decoded system information packet to transmit or receive data with one or more network cells.

A receiver comprises a sequence estimation circuit and a soft-input-soft-output (SISO) decoder. The sequence estimation circuit comprises circuitry operable to generate first soft bit decisions for symbols of a received inter-symbol-correlated signal. The SISO decoder comprises circuitry operable to decode the first soft bit decisions to generate corrected soft bit decisions. The circuitry of the sequence estimation circuit is operable to generate, based on the corrected soft bit decisions, second soft bit decisions for the symbols of the received inter-symbol-correlated signal, which are improved/refined relative to the first soft bit decisions.

A method for determining a remote radio device and a distributed AP are provided. The method includes: A baseband device determines parameters of uplink signals received by N remote radio devices, where N is a natural number greater than 1. The baseband device selects, based on the parameters, at least one remote radio device from the N remote radio devices as a remote radio device in a target set. The baseband device performs decoding based on an uplink signal received by the remote radio device in the target set, or positions a terminal device based on an uplink signal received by the remote radio device in the target set.

An approach is provided for increasing transmission throughput rates for a source signal transmitted over a wireless channel, applying faster-than-Nyquist (FTN) signaling rates combined with tight frequency roll-off to the a source signal. A receiver is provided that compensates for ISI effects induced by the FTN rate and tight frequency roll-off, where the complexity of the receiver grows only linearly with the interference memory. The receiver comprises an equalizer configured to compensate for the ISI effects, and a decoder configured to decode the output of the equalizer to determine and regenerate the source signal. The receiver processes the received signal via a plurality of processing iterations. For one processing iteration, the decoder generates a set of a posteriori soft information based on the output of the equalizer, and the equalizer uses the a posteriori soft information as a priori soft information for a subsequent processing iteration.