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.

A receiver architecture is described for phase noise compensation in the presence of inter-channel interference (ICI) and inter-symbol interference (ISI), particularly for time-frequency packing (TFP) transmissions. The receiver includes a coarse phase noise (PN) estimator, a PN compensation module, an ICI cancellation module, an ISI compensation module, a FEC decoder, and an iterative PN estimator. The iterative PN estimator receives log likelihood ratio (LLR) information from the decoder and provides an iterative PN estimation to the PN compensation module. The decoder also provides LLR to the ISI compensation module, and to at least one other receiver for another subchannel that is immediately adjacent in frequency. The ICI cancellation module receives decoder output from at least one adjacent subchannel, which the ICI cancellation module uses to provide a ICI-cancelled signal.

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.

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.

Briefly, in accordance with one or more embodiments, a fixed device synchronizes with a downlink channel of a network, acquires a master information block including a last system update time; and executes cell selection without acquiring other system information if the last system update time is before the last system access time. Furthermore, the fixed device may listen only for system information block messages that it needs, and ignore other system information blocks. A bitmap may indicate which system information block messages should be listed to for fixed devices, and which may be ignored. In some embodiments, one or more system information blocks may be designated for fixed devices.

Signal cancellation is implemented by way of a non-linear filter model feeding to an FIR channel. Parameters defining each element are iteratively established, first by initially estimating the FIR channel then jointly estimating the two elements.

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.

Apparatus and methods for phase noise mitigation in wireless systems and networks. In one embodiment, the apparatus and methods provide enhanced wireless services which provide enhanced performance to 5G millimeter wave system entities base stations (gNodeBs) and their backhaul in support of low-latency and high-throughput operation of these components and the network as a whole. In one variant, an enhanced phase noise mitigation mechanism is provided which has a robust performance in operating in very high frequencies such as millimeter wave spectrum. In yet other implementations, the methods and apparatus described herein can be utilized with respect to mobile devices such as between 5G NR millimeter-wave capable UEs and corresponding gNBs.

Signal cancellation is implemented by way of a non-linear filter model feeding to an FIR channel. Parameters defining each element are iteratively established, first by initially estimating the FIR channel then jointly estimating the two elements.

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.