Abstract:
A method and an apparatus are provided in which a vector is generated from a covariance matrix of a received signal. The vector is input to a neural network to obtain an enhanced vector. The enhanced vector is converted into an enhanced matrix. Interference whitening is performed on the received signal using a whitening filter based on the enhanced matrix.
Abstract:
A system and method for configuring an RF network based on machine learning. In some embodiments, the method includes: receiving, by a first neural network, a first state and a first state transition, the first state including: one or more identifiers for available active ports, and a set of available connections between two or more circuit elements, each of the circuit elements being one of: (1) a first circuit type, (2) a second circuit type that operatively connects a circuit element of the first circuit type to one of the available active ports, and (3) the available active ports; and generating, by the first neural network, a first estimated quality value, for the first state transition.
Abstract:
A system and a method are disclosed for normalizing Log-Likelihood Ratios for bits of a transport block. For a narrowband channel estimation (NBCE), a normalization factor is selected based on an estimated delay spread, a cyclic prefix, an estimated Doppler spread, a rank, a modulation and coding scheme (MCS) and a signal-to-noise ratio (SNR) for the transport block, and an input LLRin for the individual bits of the transport block are scaled to respectively form an output LLRout for the individual bits of the transport block using the normalization factor. For a wideband channel estimation, a normalization factor is selected based on the rank/MCS/SNR of the transport block, and the input LLRin for the individual bits of the transport block are scaled to respectively form the output LLRout for the individual bits of the transport block using the normalization factor.
Abstract:
Methods and an apparatus are provided. A method includes generating an intermediate symbol time recovery (STR) adjustment based on a difference between an estimated first arrival path (FAP) and an FAP offset and generating an accumulated STR adjustment based on at least the intermediate STR adjustment and a feedback STR adjustment.
Abstract:
A method and an apparatus in a multiple-input multiple-output (MIMO) wireless communication system are provided. A signal is received over a channel. The channel is decomposed into a plurality of virtual channels. Symbol detection is performed on each of the plurality of virtual channels. Values are obtained for the channel. Decoding is performed using the values to output a decoded symbol value of the received signal.
Abstract:
A method is provided for operating an electronic device. The method includes displaying GUI items; receiving a first touch input in respect to a first GUI; receiving a second touch input in respect to a second GUI; storing first information about a first external input object and a first drawing attribute, corresponding to the first GUI, associated with the first external input object in response to the first touch input; storing second information about a second external input object associated with a second drawing attribute, corresponding to the second GUI, in response to the second touch input; receiving a third touch input; determining whether the third touch input is input using the first external input object or the second external input object; identifying a drawing attribute for the third touch input from the stored information, based on the determination; and applying the identified drawing attribute to the third touch input.
Abstract:
Apparatuses and methods of manufacturing same, systems, and methods for blind detection of a numerology of a received signal are described. In one aspect, a method is provided for a user equipment (UE) to blindly detect the numerology of a received signal. The method includes correlating cyclic prefix (CP) signals in the received signal in the time domain based on a plurality of hypotheses of subcarrier spacing (SCS); measuring power variation of the received signal in the frequency domain based on the plurality of hypotheses of SCS; and combining weighted results of a correlation of the CP signals in the time domain and the measured power variation in the frequency domain to determine a numerology of the received signal for a corresponding hypothesis of SCS of the plurality of hypotheses.
Abstract:
A method is provided. The method includes receiving a signal, wherein the signal includes a serving signal and an interference signal; removing the serving signal from the received signal to provide a residual signal; equalizing the residual signal based on linear estimation; determining a sample sum of the equalized signal; determining a plurality of eigenvalues from the sample sum; and estimating a transmission rank of the interference signal using hypothesis testing based on the plurality of eigenvalues.
Abstract:
A computing system includes: an inter-device interface configured to receive a receiver signal for representing a serving signal and an interference signal; a communication unit, coupled to the inter-device interface, configured to: dynamically generate a decoding target for decoding of the receiver signal, and decode the receiver signal based on the decoding target for decoding the receiver signal for the serving signal or the interference signal with an interference-aware receiver according to the decoding target.
Abstract:
A communication system includes: a signal identification module configured to receive a repeat response for receiving the repeat response associated with a receiver signal; a signal analysis module, coupled to the signal identification module, configured to determine a serving data, a serving channel estimate, an interference channel estimate, or a combination thereof an interference data from the repeat response with an interference-aware processing mechanism; a combining module, coupled to the signal analysis module, configured to combine the repeat response and the receiver signal based on the serving data, the serving channel estimate, the interference channel estimate, the interference data, or a combination thereof; and a decoding module, coupled to the combining module, configured to generate a replication data based on combining the repeat response and the receiver signal based on the serving data, the serving channel estimate, the interference channel estimate, the interference data, or a combination thereof for communicating with a device.