H04L27/0012

Error retro-propagation for a chain for the blind demodulation of a digital telecommunication signal
11516055 · 2022-11-29 · ·

The present invention concerns a real-time method for the blind demodulation of digital telecommunication signals, based on the observation of a sampled version of this signal. The method comprises the following steps: —acquisition, by a sampling, of a first plurality of signals in order to each constitute an input of a network of L processing blocks (G, F, H), also referred to here as “specialized neurons”, each neuron being simulated by the outputs of the preceding block, the first plurality of signals being input into the first block simulating a first neuron of the network in order to generate a plurality of outputs of the first block; each neuron F being simulated by the outputs of an upstream chain G and stimulating a downstream chain H; each set of samples passes through the same processing chain; —the outputs of the last blocks of the network ideally correspond to the demodulated symbols; —addition of a nonlinearity to each of the outputs of the last block of the network making it possible to calculate an error signal and propagation of this error in the reverse direction of the processing chain (“retropropagation”); —estimation, upon receipt of the error by each neuron (i), of a corrective term δθ.sub.i and updating, in each block, of the value of the parameter θ.sub.i according to θ.sub.i+=δθ.sub.i.

Modulation adjustment for 16-QAM in narrowband IoT

Techniques of defining a transmission scheme for NB-IoT data include determining the TBS based on 16-quadrature amplitude modulation (QAM) analysis but use quadrature phase-shift keying (QPSK) for modulation. For example, a base station (eNB) may determine that a UE is configured to receive or transmit data with 16-QAM modulation via capability signalling from the UE. Upon performing this determination, the eNB transmits configuration data to the UE, e.g., via DCI, configuring the UE to receive data over a narrowband physical downlink shared channel (NPDSCH) using 16-QAM modulation. Part of the configuration data indicates whether the UE is to support 16-QAM modulation with or without repetition via radio resource control (RRC) parameter modulation-restriction-Repetitions. Depending upon this indication, the UE may use quadrature phase-shift keying (QPSK) rather than 16-QAM despite selecting or being assigned a TBS based on 16-QAM modulation.

DATA SIGNALING FOR WIRELESS COMMUNICATION NETWORKS
20220352936 · 2022-11-03 ·

There is disclosed a method of operating a transmitting radio node in a wireless communication network. The method includes transmitting data signaling utilising a plurality of transmission sources, wherein the data signaling represents a plurality of code blocks. Modulation symbols of a modulation symbol sequence are mapped to the plurality of transmission sources in c-tuples, the modulation symbol sequence representing the plurality of code blocks in which c is dependent on the modulation used for transmitting the signaling. The disclosure also pertains to related devices and methods.

Techniques for determining power offsets of a physical downlink shared channel

Examples include techniques for determining power offsets of a physical downlink shared channel (PDSCH). In some examples higher and physical layer signaling may be provided to user equipment (UE) by a base station such as an evolved Node B to enable the UE to determine power offset values for a multiplexed PDSCH having a serving PDSCH and a co-scheduled PDSCH transmitted via use of same time and frequency resources. The determined power offset values for use by the UE to demodulate the serving PDSCH and mitigate possible interference caused by the co-scheduled PDSCH. Both the UE and the eNB may operate in compliance with one or more 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) standards.

REUSE OF TRANSMISSION RESOURCES FOR DEVICE TO DEVICE COMMUNICATION

The present invention provides a method of determining a transmission power for device to device, D2D, transmissions between a first user equipment device and a second user equipment device using transmission resources being used for transmissions to a cellular network entity by a third user equipment device, the method comprising determining a measure of a path loss between the cellular network entity and the first user equipment device, and using the measure of the path loss to determine a maximum transmission power such that the D2D transmissions are received at the cellular network entity with a signal level around or below a noise level.

SPECTRUM ANALYSIS FOR DYNAMIC SPECTRUM ACCESS

A method of analysing a spectrum on which information is transmitted, comprising: determining each different type of modulation used for transmitting the information across the spectrum, for each determined modulation, identifying its carrier frequency and its bandwidth, defining characteristics of usage of the spectrum in terms of the determined modulations and their corresponding carrier frequencies and bandwidths.

Decoding method and apparatus
11477170 · 2022-10-18 · ·

This disclosure provides a decoding method and apparatus in the communications field. The method includes: extracting at least one piece of prior information from at least one first transport block that has been successfully decoded, and assembling the at least one piece of prior information into a prior information set, where one piece of prior information includes header information of a transmission protocol layer of one first transport block; when a to-be-decoded second transport block sent by a transmit end is received, selecting first prior information from the prior information set, where the second transport block is a transport block obtained by the transmit end by coding a third transport block; and decoding the second transport block based on the first prior information and first demodulation information of the second transport block, to obtain the third transport block.

Method for auto-detection of WLAN packets using STF
11637572 · 2023-04-25 · ·

A method of auto-detection of WLAN packets includes selecting a first Golay sequence from a first pair of Golay complementary sequences associated with first packet type, each Golay sequence of the first pair of Golay complementary sequences being zero correlation zone (ZCZ) sequences with each Golay sequence of a second pair of Golay complementary sequences associated with a second packet type, and transmitting a wireless packet carrying a short training field (STF) that includes one or more instances of the first Golay sequence.

Methods and devices for transmitting and receiving modulation signals in wireless communication system

The disclosure relates to a method, performed by a base station, for transmitting and receiving modulation signals in a wireless communication system, the method including: transmitting group modulation configuration information to a user equipment, receiving feedback information about a group modulation scheme from the user equipment; and determining a modulation and coding scheme (MCS), in consideration of the feedback information.

Systems and methods for modulation classification of baseband signals using attention-based learned filters

Systems and methods for classifying baseband signals include receiving, at a pre-processing stage of a neural network whose objective is modulation classification performance, a complex quadrature vector of interest including a plurality of samples of a baseband signal derived from a radio frequency signal of an unknown modulation type, providing the vector of interest to a plurality of FIR filters, each of which outputs a respective intermediate filtered version of the vector of interest, combining the outputs of two or more of the FIR filters to produce a filtered version of the vector of interest, including applying respective weightings to the outputs of the FIR filters, and providing the filtered version of the vector of interest to an analysis stage of the neural network for classification with respect to a plurality of known modulation types. The neural network may apply attention-based selection to learn the filters and respective weightings.