Huawei Technologies Co., Limited

Navid Tadayon

Alireza Bayesteh

Jianglei Ma

Hamidreza Farmanbar

Yicheng Lin

Mohammadhadi Baligh

Wen Tong

Keyvan Zarifi

Some embodiments of the present disclosure provide a user equipment (UE) having active device components and passive device components. Responsive to receiving downlink (DL) transmissions in time division duplexing (TDD) mode, the active device components perform DL decoding while the passive device components perform passive transmission of ACK/NACK data. Such passive transmission may involve encoding the ACK/NACK data in an altered version of received radio frequency (RF) signals and using so-called backscatter communications to reflect the received RF signals, with alteration, using the same frequency resources used to receive the DL transmissions.

Low latency ACK/NACK transmission

Some embodiments of the present disclosure relate to the selection of a waveform for an integrated communications and sensing (ICS) signal, where the waveform is suitable for both communication applications and sensing applications. In view of the sensing applications, the waveform selection can be, at least in part, adapted based on capabilities of hardware of nodes involved in the sensing applications. In view of the communication applications, the waveform selection can be, at least in part, adapted based on the extent to which data is to be embedded.

Waveform adaptation for integrated communications and sensing

Methods and apparatus are provided that may simplify and enhance the location of nodes in a network, including ED and mobile TPs, even if all or many of the nodes are mobile. The methods may be used to enable single TP positioning, and may be used to reduce synchronization error. The provided methods make use of smart reflectors having known location. By processing a combination of signals, which may include an original transmitted signal, and/or one or more reflected signals, the location of a receiving node can be determined. Media tagging may be employed to allow a receiver to detect the identity of the nearby reflectors (with known locations) and based on the identity determine the locations of the reflectors. Using this information, the receiving node can detect its location regardless of knowing the transmission source and/or location.

Systems and methods for locating user equipment in a wireless network

Some embodiments of the present disclosure provide for use of a linear chirp signal as a basis for a sensing signal. Modification of the linear chirp signal by a signature function can allow a receiver of the sensing signal to determine an identity for a source of the sensing signal. Accordingly, upon processing the received sensing signal to obtain path parameter estimates, the receiver can direct a transmission of an indication of the path parameter estimates to the source of the sensing signal. Aspects of the present application relate to performing multi-node, multi-path channel estimation on the basis of processing the received sensing signal. Conveniently, the processing is performed with low complexity.

Sensing-assisted channel estimation

Some embodiments of the present disclosure provide a location management function that receives, from a sensor system, a sensing-based profile that includes a sensing-based observation of a UE and receives, from a communication system, a reference-signal-based observation of the UE. The location management function may derive, from the sensing-based observation, a position hypothesis and may determine, from the reference-signal-based observation, UE identity information for the UE. By processing the reference-signal-based observation in conjunction with the sensing-based observation, the location management function may determine an association between the sensing-based observation and the reference-signal-based observation. The location management function may then transmit, to the UE having the UE identity information determined from the reference-signal-based observation, an indication of the position hypothesis derived from the sensing-based observation.

Sensing-assisted positioning of mobile devices

Sparse reference signal-related signaling, for a wireless channel that is associated with multiple antenna ports, is communicated with a User Equipment (UE). The sparse reference signal-related signaling is consistent with a sparse signaling pattern. In an embodiment, the sparse signaling pattern includes reference signal-related signaling associated with each of the antenna ports, and has been determined based on previous reference signal-related signaling previously communicated with the UE or another UE. In another embodiment, the sparse reference signal-related signaling is consistent with a varying sparse signaling pattern that is based on previous reference signal-related signaling previously communicated with the UE or another UE.

Sparse reference signal-related signaling apparatus and methods

A method and User Equipment (UE) for estimating locations of obstacles to signal transmission in a wireless communication network is disclosed. The method involves at the UE in communication with the network, in response to receiving a reference signal from a neighboring node via a non-line-of-sight (NLoS) transmission, transmitting an identification of the neighboring node to network equipment implementing the wireless communications network to facilitate estimating locations of the obstacles to signal transmission based on estimates of the location of the UE and the neighboring node.

Systems and methods for estimating locations of signal shadowing obstructions and signal reflectors in a wireless communications network

Network equipment receives, from a User Equipment (UE), an indication that the network equipment is to transition to sparse reference signaling for the UE, and the network equipment then transmits the sparse reference signaling to the UE. The sparse reference signaling is consistent with a sparse signaling pattern, which is determined at the UE based on previous reference signaling previously transmitted to the UE or another UE. At a UE, the sparse reference signaling is received from network equipment, and channel measurement and prediction are performed based on the received sparse reference signaling.

Reference signaling overhead reduction apparatus and methods

Some embodiments of the present disclosure provide a transmit point that transmits a downlink chirp sensing waveform (DL CSW) signal. A device receives the DL CSW signal and obtains a cloned chirp sensing waveform. The cloned chirp sensing waveform includes a parameter that can be uniquely associated with the device. The device transmits a UL cloned CSW signal based on the cloned chirp sensing waveform. The transmit point receives the UL cloned CSW signal and processes the UL cloned CSW signal to estimate a pose for the device and associate the estimated pose with the identity of the device.

Method and apparatus for chirp signal-based pose estimation

Some embodiments of the present disclosure provide a neural network location classifier that is designed and trained in accordance with a hierarchical architecture, thereby producing a hierarchical neural network location classifier. Further embodiments relate to obtaining, through use of the hierarchical neural network location classifier, an inferred hierarchical label for a user equipment location. The inferred hierarchical label may then be decoded to obtain a location.

Location prediction using hierarchical classification

At a first User Equipment (UE) in a wireless communication network, signaling that is associated with a direct wireless communication link between the first UE and a second UE is received. Signaling indicative of an estimate of range between the first UE and the second UE, based on the received signaling, is transmitted to network equipment in the wireless communication network. According to another aspect of the present disclosure, signaling that is indicative of an estimate of range associated with such a direct wireless communication link is received, and signaling indicative of a prediction model and/or signaling indicative of a prediction from the prediction model is transmitted. The prediction model is for prediction of Line of Sight (LoS) status of communication links in the wireless communication network, and is based in part on the estimate of range.

Connectivity-based positioning determination in wireless communication networks

Systems and methods for estimating locations of signal shadowing obstructions in a wireless communication network are disclosed. The method involves at a network equipment, receiving from User Equipments (UEs), an identification of neighboring UEs from which the UEs have received a reference signal via a non-line-of-sight (NLoS) sidelink transmission. The method also involves estimating locations of signal shadowing obstructions based on location information of UEs associated with the NLoS sidelink transmissions, and configuring communications between the network equipment and at least one UE based on an estimated location of at least one signal shadowing obstruction.

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Kanata, Canada

Navid Tadayon