Abstract:
Systems and techniques are disclosed to enhance the efficiency of available bandwidth between UEs and base stations. A UE transmits a sounding reference signal (SRS) to the base station. The base station characterizes the uplink channel based on the SRS received and, using reciprocity, applies the channel characterization for the downlink channel. In applying the channel information, the base station forms the beam to the UE based on the uplink channel information obtained from the SRS. The UE may include an array of antennas, each UE transmitting a different SRS that the base station receives and uses to characterize the downlink. Multiple UEs (or a single UE with multiple antennas) transmit SRS at the same time and frequency allocation (non-orthogonal), but with each sending its own unique SRS. Further, multiple UEs (or a single UE with multiple antennas) may send their SRS at unique time/frequency allocations (orthogonal).
Abstract:
A method, an apparatus, and a computer program product for wireless communication are provided. The apparatus determines an observed bit rate based on uplink transmissions of the UE, estimates an available link capacity for the UE, selects an estimate factor, and estimates available uplink throughput for future uplink transmissions of the UE as a function of the observed bit rate, the estimated available link capacity, and the estimate factor.
Abstract:
A method and system for improving the reception of uplink transmissions in a heterogeneous wireless communication system includes a high-power node such as a macro-cell and a low-power node such as a femto-cell or pico-cell. To address an uplink imbalance where a nearby low-power node power controls a UE such that uplink transmissions of an HSDPA control channel are poorly received at the serving cell, an RNC can instruct the UE to boost its uplink transmit power, remove the UE from soft handover, or disable power control of the UE by the low-power node. To address inter-cell interference, the RNC can limit the UE transmit power and/or enable the victim cell to suppress the interference. Further, a common control channel can be used to power control UEs outside of the convention set of UEs available for power control.
Abstract:
Various embodiments include methods for reducing peak to average power ratio of wireless transmission waveforms, performed in transmitter circuitry of a wireless communication. Various embodiments may include receiving frequency domain data tones, transforming the frequency domain data tones to time domain data signals, generating, using a set of peak reduction tone (PRT) neural networks, time domain PRTs using the time domain data signals in which the set of PRT neural networks have been trained in conjunction with an augmentation neural network, and a receiver neural network, generating an output of the augmentation neural network based on an input of final combined time domain signals including the time domain PRTs combined with previous combined time domain signals, and generating time domain wireless transmission waveforms that include the output of the augmentation neural network combined with the final combined time domain signals.
Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client may determine, using a first client autoencoder, a feature vector associated with one or more features associated with an environment of the client. The client may determine a latent vector using a second client autoencoder and based at least in part on the feature vector. The client may transmit the feature vector and the latent vector. Numerous other aspects are provided.
Abstract:
A first wireless device, such as a user equipment, generates a message indicating a processing time for at least one of training a neural network for channel state information (CSI) derivation or for reporting the CSI based on a trained neural network. The first wireless device transmits the message indicating the processing time to a second wireless device. The second wireless device may be a network entity, such as a base station, a transmission reception point, or another UE.
Abstract:
In an aspect, a UE obtains information (e.g., UE-specific information, etc.) associated with a set of triggering criteria for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement feature processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedure, obtains positioning measurement data associated with a location of the UE, and determines a positioning estimate for the UE based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria.
Abstract:
Enhancement of channel state information-interference management (CSI-IM) resource configuration is disclosed. The CSI-IM resource configuration may include quasi-colocation (QCL) assumption information specifically for the CSI-IM resource. A compatible user equipment (UE) would receive a CSI report setting configuration for preparing a CSI report on channel information. The UE would obtain a CSI-IM resource configuration including the QCL assumption information associated with a reference signal for either channel or interference feedback. The UE receives the reference signal using the QCL assumption information and measures the interference observed with the reference signal. The UE would then transmit a CSI report indicating the interference observed based on the CSI-IM resource configuration.
Abstract:
A method of wireless communication, by a user equipment (UE), includes receiving multiple neural network training configurations for channel state feedback (CSF). Each configuration corresponds to a different neural network framework. The method also includes training each of a group of neural network decoder/encoder pairs in accordance with the received training configurations. A method of wireless communication, by a base station, includes transmitting multiple neural network training configurations to a user equipment (UE) for channel state feedback (CSF). Each configuration corresponds to a different neural network framework. The method also includes receiving a neural network decoder/encoder pair trained in accordance with the training configurations.
Abstract:
A method of wireless communication by a user equipment (UE) receives a channel state information (CSI) decoder and CSI encoder from a base station on a physical downlink control channel (PDSCH) or a media access control-control element (MAC-CE). The method also includes training the CSI decoder and CSI encoder based on observed channel and interference conditions to obtain updated decoder coefficients and updated encoder coefficients. The method further includes receiving an indication of resources for transmission of the updated encoder coefficients and updated decoder coefficients. The method includes transmitting the updated decoder coefficients and updated encoder coefficients to the base station in accordance with the indication of resources. Further, the method includes receiving an updated CSI decoder and updated CSI encoder from the base station for further training.