H04L25/0328

Network controller and method for controlling a communication

According to various examples, a network controller is described comprising a determiner configured to determine, based on an elevation angle of a direction of a communication between a first communication device and a second communication device, a risk of interference to a third communication device by the communication and a controller configured to control the communication between the first communication device and the second communication device based on the determined risk.

OPTICAL TRANSMISSION DEVICE AND OPTICAL TRANSMISSION SYSTEM

An optical transmission device includes: a frontend circuit, a converter, an equalizer, a recovery, spectrum detector a correction information generator, and a transmitter. The frontend circuit converts an optical signal received via an optical network into an electric signal. The converter converts an output signal of the frontend circuit into a digital signal. The equalizer equalizes the digital signal or a second digital signal that is generated based on the digital signal. The recovery recovers a symbol from an output signal of the equalizer. The spectrum detector detects a reception spectrum of the optical signal based on the digital signal or the second digital signal. The correction information generator generates, according to the reception spectrum, correction information for correcting a shape of a transmission spectrum of the optical signal. The transmitter transmits the correction information to the source device.

USING LATTICE REDUCTION FOR REDUCED DECODER COMPLEXITY
20200028617 · 2020-01-23 ·

Methods, systems, and devices for wireless communications are described. Some wireless communications systems may utilize beamforming techniques to process wireless communications transmitted in millimeter wave (mmW) frequency ranges. In such cases, a user equipment (UE) may perform lattice reduction (LR)-based preprocessing for a received resource element (RE), which allows the UE to utilize demapping techniques (e.g., minimum mean square error (MMSE)-based demapping techniques or successive interference cancellation (SIC) demapping techniques) that are less computationally-complex than conventional demapping techniques (e.g., maximum likelihood (ML)-based demapping techniques) while providing a similar performance as conventional techniques. Further, due to mmW systems' robustness to time-dispersion, the UE may apply the same LR to multiple REs across multiple symbols in the time domain and across multiple sub-carriers in the frequency domain. The computational cost of performing the LR calculation may be spread across multiple REs and further increase the efficiency of utilizing low-complexity demapping techniques.

Systems and methods for adaptively-tuned digital self-interference cancellation

A method for adaptively-tuned digital self-interference cancellation includes generating a digital self-interference cancellation signal from a digital transmit signal based on a transform configuration; combining the digital self-interference cancellation signal with a receive signal to form a digital residue signal; generating a composite residue signal from the digital residue signal and the digital transmit signal; and updating the transform configuration based on the composite residue signal.

Frequency Domain Resource Configuration Method and Apparatus
20200008203 · 2020-01-02 ·

A frequency domain resource configuration method and apparatus, the method including obtaining, by a base station, a first frequency hopping parameter set of UE in N sub-bands, where the N sub-bands have a mapping relationship with a frequency hopping pattern that is indicated by the first frequency hopping parameter set, where the sub-band is a length of consecutive frequency domain resources in a system bandwidth, and where N1, and further including sending, by the base station, first configuration information to the UE, where the first configuration information includes sub-band identifiers of the N sub-bands and the first frequency hopping parameter set.

Interface circuitry

Aspects of the disclosure provide an apparatus that includes interface circuitry with a serializer/deserializer (SERDES) circuit. The interface circuitry includes a receiving circuit that receives a signal that carries a sequence of digital values. The receiving circuit includes sampler circuit and a feedback equalization circuit. The sampler circuit includes an amplifying portion and a latch portion coupled at an intermediate node. The amplifying portion varies, with an amplifying gain, an intermediate signal at the intermediate node in response to an input signal to the sampler circuit, and the latch portion generates a digital output based on the intermediate signal at the intermediate node. The feedback equalization circuit is coupled to the intermediate node to vary the intermediate signal at the intermediate node based on a previous digital output from the latch portion of the sampler circuit.

SYSTEM AND METHOD IMPLEMENTING SOFT-DECISION BASED EXCISION CANCELLATION TECHNOLOGY
20240048165 · 2024-02-08 ·

Systems and methods for mitigating the effect of in-band interference. The methods comprise: receiving a signal comprising at least one interfering signal component; generating a soft value for each symbol in at least one interfering signal component; and using the soft values to cancel at least one interfering signal component from the signal to mitigate the effect of interference. The soft value represents a most likely value for the symbol which is obtained by: determining a probability metric between an actual value of the symbol and each of a plurality of possible symbol values using a scaling value representing an estimate of the noise level in the signal received by the device; generating current local probabilities for the plurality of possible symbol values using the probability metric; and using the current local probabilities to determine the soft value.

Interference cancellation method, device, and system

A method includes: A first device sends a first signal to a second device, where the first signal includes a first transmit signal and a first pilot signal; the first device obtains a second signal, where the second signal includes a first self-interference signal, a second pilot signal, and a second receive signal from the second device; the first device extracts jitter information of the first self-interference signal based on the first pilot signal and the second pilot signal; the first device reconstructs a self-interference signal based on the first transmit signal and the jitter information of the first self-interference signal, to obtain a cancellation signal of the first self-interference signal; and the first device cancels the first self-interference signal from the second receive signal based on the cancellation signal of the first self-interference signal.

TRANSMIT SPUR DETECTION AND MITIGATION FOR WIRELESS COMMUNICATIONS DEVICES

Systems, methods, and devices reduce and mitigate spurs that may occur in transmit waveforms of wireless communications devices. Methods include receiving a plurality of samples of a baseband transmission and generating, using a processing device, an estimated amplitude and an estimated phase of a spur component of the baseband transmission based on the received plurality of samples, the spur component being a spectral spike in a transmit waveform. Methods further include generating, using the processing device, a canceling signal configured to cancel the estimated amplitude and estimated phase of the spur component, and canceling the spur component of the baseband transmission by combining the canceling signal with a transmission of at least a portion of a data packet.

Successive interference cancellation and multi-user minimum mean square channel estimation based on soft decoding information

An apparatus, such as a base station or a user equipment, includes a transceiver configured to receive a first signal that is a superposition of symbols transmitted concurrently by users in shared resources of an air interface. The apparatus also includes a processor configured to iteratively cancel, for the users, interference produced by the symbols transmitted by other users on the basis of log likelihood ratios (LLRs) that represent likelihoods that previous estimates of the symbols transmitted by the other users are correct. The processor is also configured to iteratively decode the symbols transmitted by the users after canceling the interference produced by the symbols transmitted by the other users.