US-12628026-B2 - Sensing-based energy harvesting and management for ambient internet of things devices

US12628026B2US 12628026 B2US12628026 B2US 12628026B2US-12628026-B2

Abstract

Methods, systems, and devices for wireless communications are described. A network entity may implement sensing to assist in energy harvesting. In some examples, the network entity may employ radio-frequency sensing and a learning model to determine locations of an ambient internet of things (AIoT) device and at least one UE. In some examples, the network entity may determine to charge the AIoT device based on the sensing. In some other examples, the network entity may determine capabilities of the AIoT device and the at least one UE based on the sensing and may determine to charge the AIoT device based on the capabilities. To charge the AIoT device, the network entity may transmit a sensing waveform as a power charging resource for an energy harvesting operation for the AIoT device, or may request the at least one UE to transmit the sensing waveform, or both.

Inventors

Fei Huang
Dai Lu
Duo Zhang
HaoHao Qin
WEIMIN DUAN
Aziz Gholmieh

Assignees

QUALCOMM INCORPORATED

Dates

Publication Date: 20260512
Application Date: 20240530

Claims (17)

1 . A network entity, comprising: one or more memories storing processor-executable code; and one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the network entity to: obtain a first set of one or more parameters associated with at least one first wireless device based at least in part on a sensing procedure; obtain a second set of one or more parameters associated with the at least one first wireless device according to a learning model for energy management and the first set of one or more parameters, wherein the first set of one or more parameters comprises an input to the learning model, and wherein the second set of one or more parameters comprises an output of the learning model; receive signaling from the at least one first wireless device indicating a request for an energy management operation for the at least one first wireless device, wherein the signaling comprises an input to the learning model, wherein performing the energy management operation is based at least in part on receiving the signaling from the at least one first wireless device; and perform the energy management operation for the at least one first wireless device, by one or more of outputting a beamformed wave for energy charging the at least one first wireless device, or outputting an indication to transmit a beamformed wave for energy charging the at least one first wireless device to at least one second wireless device, based at least in part on the second set of one or more parameters and according to the learning model for energy management.
2 . The network entity of claim 1 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the network entity to: schedule one or more resources for outputting the beamformed wave based at least in part on the first set of one or more parameters and the second set of one or more parameters and according to the learning model for energy management.
3 . The network entity of claim 1 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the network entity to: determine a capability of the at least one second wireless device based at least in part on the sensing procedure wherein performing the energy management operation is in accordance with the capability of the at least one second wireless device.
4 . The network entity of claim 1 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the network entity to: receive signaling from the at least one second wireless device indicating a request for an energy management operation for the at least one first wireless device, wherein the signaling comprises an input to the learning model, and wherein performing the energy management operation is based at least in part on receiving the signaling from the at least one second wireless device.
5 . The network entity of claim 1 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the network entity to: obtain a third set of one or more parameters associated with the at least one first wireless device according to the learning model and based at least in part on a handover event at the at least one first wireless device.
6 . The network entity of claim 1 , wherein the beamformed wave comprises a frequency modulated continuous wave (FMCW) waveform, an orthogonal frequency-division multiplexing (OFDM) waveform, or another sensing waveform.
7 . A first wireless device, comprising: one or more memories storing processor-executable code; and one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the first wireless device to: perform a sensing procedure; transmit signaling to one or more of a network entity or at least one second wireless device based at least in part on the sensing procedure, the signaling indicating a request for an energy management operation; perform the energy management operation using a beamformed wave for energy charging the first wireless device transmitted by one or more of the network entity or the at least one second wireless device; and transmit, to the network entity, a report indicating a status of the first wireless device based at least in part on performing the energy management operation and receiving a request to report the status of the at least one second wireless device from the network entity.
8 . The first wireless device of claim 7 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the first wireless device to: perform one or more measurements on the beamformed wave for energy charging the first wireless device; and transmit a report to the network entity indicating a signal strength of the beamformed wave, a battery level of the first wireless device, or both.
9 . The first wireless device of claim 8 , wherein the first wireless device performs the one or more measurements based at least in part on the signal strength of the beamformed wave satisfying a threshold, based at least in part on the battery level satisfying a threshold, or in accordance with a periodicity.
10 . The first wireless device of claim 8 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the first wireless device to: refrain from transmitting a second report to the network entity based at least in part on the battery level satisfying a threshold.
11 . The first wireless device of claim 7 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the first wireless device to: receive an indication from the network entity to refrain from transmitting a second report.
12 . The first wireless device of claim 7 , wherein the beamformed wave comprises a frequency modulated continuous wave (FMCW) waveform, an orthogonal frequency-division multiplexing (OFDM) waveform, or another sensing waveform.
13 . The first wireless device of claim 7 , wherein the signaling comprises a last report message or a power request message.
14 . A second wireless device, comprising: one or more memories storing processor-executable code; and one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the second wireless device to: receive, from a network entity, an indication for the second wireless device to transmit a beamformed wave for energy charging at least one first wireless device; receive signaling from the at least one first wireless device; relay the signaling from the at least one first wireless device to the network entity in accordance with a capability of the second wireless device; and communicate with the network entity, the at least one first wireless device, or both in accordance with the capability of the second wireless device and based at least in part on receiving the indication from the network entity.
15 . The second wireless device of claim 14 , wherein the one or more processors are individually or collectively further operable to execute the code to cause the second wireless device to: monitor resources for signaling from the at least one first wireless device to the network entity in accordance with a request from the network entity to monitor the at least one first wireless device; and relay the signaling to the network entity based at least in part on determining that the network entity failed to receive the signaling from the at least one first wireless device.
16 . The second wireless device of claim 14 , wherein, to communicate with the network entity, the at least one first wireless device, or both, the one or more processors are individually or collectively further operable to execute the code to cause the second wireless device to: determine one or more parameters associated with the beamformed wave for energy charging the at least one first wireless device; and transmit the beamformed wave to the at least one first wireless device.
17 . The second wireless device of claim 14 , wherein the beamformed wave comprises a frequency modulated continuous wave (FMCW) waveform, an orthogonal frequency-division multiplexing (OFDM) waveform, or another sensing waveform.

Description

TECHNICAL FIELD The following relates to wireless communications, including sensing-based energy harvesting and management for ambient internet of things (AIoT) devices. BACKGROUND Wireless communications systems are widely deployed to provide various types of communication content such as voice, video, packet data, messaging, broadcast, and so on. These systems may be capable of supporting communication with multiple users by sharing the available system resources (e.g., time, frequency, and power). Examples of such multiple-access systems include fourth generation (4G) systems such as Long Term Evolution (LTE) systems, LTE-Advanced (LTE-A) systems, or LTE-A Pro systems, and fifth generation (5G) systems which may be referred to as New Radio (NR) systems. These systems may employ technologies such as code division multiple access (CDMA), time division multiple access (TDMA), frequency division multiple access (FDMA), orthogonal FDMA (OFDMA), or discrete Fourier transform spread orthogonal frequency division multiplexing (DFT-S-OFDM). A wireless multiple-access communications system may include one or more base stations, each supporting wireless communication for communication devices, which may be known as user equipment (UE). SUMMARY The systems, methods, and devices of this disclosure each have several innovative aspects, no single one of which is solely responsible for the desirable attributes disclosed herein. A method for wireless communications by a network entity is described. The method may include obtaining a first set of one or more parameters associated with at least one first wireless device based on a sensing procedure, obtaining a second set of one or more parameters associated with the at least one first wireless device according to a learning model for energy management and the first set of one or more parameters, where the first set of one or more parameters includes an input to the learning model, and where the second set of one or more parameters includes an output of the learning model, and performing an energy management operation for the at least one first wireless device, by one or more of outputting a beamformed wave for energy charging the at least one first wireless device, or outputting an indication to transmit a beamformed wave for energy charging the at least one first wireless device to at least one second wireless device, based on the second set of one or more parameters and according to the learning model for energy management. A network entity for wireless communications is described. The network entity may include one or more memories storing processor executable code, and one or more processors coupled with (e.g., operatively, communicatively, functionally, electronically, or electrically) the one or more memories. The one or more processors may individually or collectively be operable to execute the code (e.g., directly, indirectly, after pre-processing, without pre-processing) to cause the network entity to obtain a first set of one or more parameters associated with at least one first wireless device based on a sensing procedure, obtain a second set of one or more parameters associated with the at least one first wireless device according to a learning model for energy management and the first set of one or more parameters, where the first set of one or more parameters includes an input to the learning model, and where the second set of one or more parameters includes an output of the learning model, and perform an energy management operation for the at least one first wireless device, by one or more of outputting a beamformed wave for energy charging the at least one first wireless device, or outputting an indication to transmit a beamformed wave for energy charging the at least one first wireless device to at least one second wireless device, based on the second set of one or more parameters and according to the learning model for energy management. Another network entity for wireless communications is described. The network entity may include means for obtaining a first set of one or more parameters associated with at least one first wireless device based on a sensing procedure, means for obtaining a second set of one or more parameters associated with the at least one first wireless device according to a learning model for energy management and the first set of one or more parameters, where the first set of one or more parameters includes an input to the learning model, and where the second set of one or more parameters includes an output of the learning model, and means for performing an energy management operation for the at least one first wireless device, by one or more of outputting a beamformed wave for energy charging the at least one first wireless device, or outputting an indication to transmit a beamformed wave for energy charging the at least one first wireless device to at least one second wireless device, based on the second set of one or more paramet