A transmission/reception device for a bus system, and a method for reducing conducted emissions, are provided. The transmission/reception device has a transmission stage that has a first and a second transmission block, the first transmission block being configured to transmit a transmitted signal onto a first bus wire of a bus of the bus system, in which bus system exclusive, collision-free access by a subscriber station to the bus of the bus system is at least temporarily guaranteed, and the second transmission block is configured to transmit the transmitted signal onto a second bus wire of the bus; a reception stage for receiving the bus signal transferred on the bus wires; and an emissions reduction unit for controlled switching in of a capacitance unit in parallel with the second transmission stage in order to reduce conducted emissions of the transmission/reception device.

A symbol boundary detection method includes: calculating desired signal power according to a receiving signal by a receiver device; calculating interference power according to the receiving signal by the receiver device; calculating a signal-to-interference power ratio according to the desired signal power and the interference power by the receiver device; finding a best signal-to-interference power ratio to determine a reference symbol boundary time by the receiver device; and processing the receiving signal according to the reference symbol boundary time by the receiver device for a subsequent demodulation process performed by a demodulator circuit.

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.

The gains with non-orthogonal multiple access (NOMA) for uplink data transmissions can be high when chosen codes are orthogonal. However, when codes are non-orthogonal, the gains can be low. NOMA can be used when there is more than one mobile device using the same resources. Since orthogonal codes cannot be possible for every length, codes which have low cross-correlation properties can be used. However, when there are a large number of mobile devices using the same resources, the cross-correlation between the codes can cause interference to the mobile devices. Reducing the gains of a NOMA system can reduce the overall throughput. Thus, transmitting data on the same resources in a NOMA can occur in spite of the interference to the UEs transmitting data on the same resources. Therefore, a non-orthogonal multiple access design for a 5G network can mitigate interference.

Systems, methods, and devices enable coexistence of traffic for collocated transceivers. Methods may include transmitting a baseband training signal via a transmit path of a wireless communications device, obtaining a plurality of samples of the baseband training signal via a receive path of the wireless communications device, and generating a plurality of weighted averages based on the plurality of samples. Methods may further include generating an estimated amplitude and an estimated phase for at least one spur frequency of the wireless communications device based, at least in part, on the plurality of weighted averages.

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.

It is an objective of the current disclosure to design a novel communications system capable of offering improvement in channel capacity compared to current communications systems. To this end, the disclosure teaches how to add new information to a select number of Degrees of Freedom (DOF), through three design steps. All three steps aim to design the system such that the minimum required average received Signal-to-Noise Ratio (SNR) is reduced for a given desired capacity and for a given specified mask. The first design step identifies the select number of DOF required for achieving the desired capacity. The second design step enhances the contribution of the selected DOF by matching them to the specified mask. This step aims to have the transmitted signal comply with the specified mask. The third design step randomizes the DOF using a pseudo-random phase. This step aims to reduce the required average received SNR.

A decoder for determining an estimate of a vector of information symbols carried by a signal received through a transmission channel represented by a channel matrix is provided. The decoder includes a block division unit configured to divide the vector of information symbols into two or more sub-vectors, each sub-vector being associated with a block level; two or more processors configured to determine, in parallel, candidate sub-vectors and to store the candidate sub-vectors in a first stack. Each processor is configured to determine at least a candidate sub-vector by applying a symbol estimation algorithm and to store each candidate sub-vector with a decoding metric and the block level associated with the candidate sub-vector. The decoding metric is lower than or equal to a decoding metric threshold. A processor among the two or more processors is configured to determine at least a candidate vector from candidate sub-vectors stored in the first stack, the candidate vector being associated with a cumulated decoding metric and to update the decoding metric threshold from the cumulated decoding metric.

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.

A BP detector of a wireless receiver apparatus reads a first parameter set or a second parameter set. The first parameter set includes a plurality of scaling factors and a plurality of damping factors learned together using a deep learning technique. The second parameter set includes a plurality of scaling factors and a plurality of node selection factors learned together using a deep learning technique from a memory. The BP detector executes an iterative BP algorithm that uses the first parameter set or the second parameter set in order to perform multi-user detection.