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EP-4740039-A1 - WAVEFORM DESIGN FOR INTEGRATED SENSING AND COMMUNICATION SYSTEM

EP4740039A1EP 4740039 A1EP4740039 A1EP 4740039A1EP-4740039-A1

Abstract

Embodiments of the present disclosure relate to waveform design for an integrated sensing and communication system (100). According to some embodiments of the disclosure, a BS may: determine, based on a multiple access scheme for wireless communication with a set of UEs (104), an initial waveform for each UE (104) of the set of UEs (104) (211); generate a set of waveforms, each waveform of the set of waveforms corresponding to a UE (104) of the set of UEs (104), based at least in part on the initial waveforms for the set of UEs (104) and a set of weighting coefficients associated with the generated set of waveforms (213); determine the set of weighting coefficients based at least in part on approximating a combination of the generated set of waveforms to a radar waveform (215); transmit, to the set of UEs (104), an indication of the set of weighting coefficients associated with the generated set of waveforms (217); and transmit, to the set of UEs (104), the combination of the generated set of waveforms (219).

Inventors

  • LEI, HAIPENG
  • WANG, HAIMING

Assignees

  • Lenovo (Beijing) Limited

Dates

Publication Date
20260513
Application Date
20230706

Claims (20)

  1. A base station (BS) , comprising: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the BS to: determine, based on a multiple access scheme for wireless communication with a set of user equipment (UE) , an initial waveform for each UE of the set of UEs, wherein the initial waveform carries bit information; generate a set of waveforms, each waveform of the set of waveforms corresponding to a UE of the set of UEs, based at least in part on the initial waveforms for the set of UEs and a set of weighting coefficients associated with the generated set of waveforms; determine the set of weighting coefficients based at least in part on approximating a combination of the generated set of waveforms to a radar waveform; transmit, to the set of UEs, an indication of the set of weighting coefficients associated with the generated set of waveforms; and transmit, to the set of UEs, the combination of the generated set of waveforms.
  2. The BS of Claim 1, wherein the at least one processor is further configured to cause the BS to determine the radar waveform based at least in part on a criterion for sensing and communication.
  3. The BS of Claim 1, wherein, to approximate the combination of the generated set of waveforms to the radar waveform, the at least one processor is configured to cause the BS to minimize a difference between the combination of the generated set of waveforms and the radar waveform.
  4. The BS of Claim 1, wherein, to determine the set of weighting coefficients, the at least one processor is configured to cause the BS to determine that a quality degradation constraint is satisfied during the approximation.
  5. The BS of Claim 1, wherein the at least one processor is further configured to cause the BS to: receive, from a UE of the set of UEs, feedback corresponding to the generated waveform for the UE; adjust the set of weighting coefficients based at least in part on the feedback; and transmit the adjusted set of weighting coefficients to the set of UEs.
  6. The BS of Claim 5, wherein the at least one processor is further configured to cause the BS to adjust the radar waveform based at least in part on the feedback.
  7. The BS of Claim 5, wherein, to adjust the set of weighting coefficients based at least in part on the feedback, the at least one processor is configured to cause the BS to add a quality degradation constraint to the determination of the set of weighting coefficients in response to the feedback comprising negative feedback.
  8. The BS of any of Claims 5-7, wherein the feedback comprises hybrid automatic repeat request acknowledgement (HARQ-ACK) feedback.
  9. The BS of Claim 4 or 7, wherein the quality degradation constraint comprises: null signal noise ratio (SNR) loss or an SNR loss satisfying a threshold.
  10. The BS of Claim 6, wherein, to adjust the radar waveform based at least in part on the feedback and in response to the feedback comprising negative feedback, the at least one processor is configured to cause the BS to adjust the radar waveform to a different radar waveform that satisfies a communication quality degradation threshold when the BS adjusts the set of weighting coefficients.
  11. The BS of Claim 10, wherein, to adjust the radar waveform, the at least one processor is configured to cause the BS to change the radar waveform from a linear frequency modulation (LFM) waveform to a Barker pulse waveform.
  12. The BS of Claim 1, wherein the set of weighting coefficients is transmitted to the set of UEs via high layer signaling or physical layer signaling in a separate waveform from the combination of the generated set of waveforms for the set of UEs.
  13. A user equipment (UE) , comprising: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the UE to: receive, from a base station (BS) , a combination of a set of waveforms for a set of UEs including the UE; receive, from the BS, an indication of a set of weighting coefficients associated with the set of waveforms, wherein each waveform of the set of waveforms corresponds to a UE of the set of UEs and is generated based at least in part on an initial waveform for a corresponding UE and weighting coefficients associated with a corresponding waveform among the set of weighting coefficients, wherein the initial waveform carries bit information, and wherein the set of weighting coefficients are determined based at least in part on approximating the combination of the set of waveforms to a radar waveform; and demodulate a waveform for the UE from the combination of the set of waveforms based at least in part on the received set of weighting coefficients.
  14. The UE of Claim 13, wherein the radar waveform is determined based at least in part on a criterion for sensing and communication.
  15. The UE of Claim 13, wherein approximating the combination of the set of waveforms to the radar waveform comprises minimizing a difference between the combination of the set of waveforms and the radar waveform.
  16. The UE of Claim 13, wherein the set of weighting coefficients satisfy a quality degradation constraint during the approximation.
  17. The UE of Claim 13, wherein the at least one processor is further configured to cause the UE to perform one or more of the following: transmit, to the BS, feedback corresponding to the demodulated waveform; and receive adjusted set of weighting coefficients from the BS.
  18. The UE of Claim 13, wherein the set of weighting coefficients is received at the UE via high layer signaling or physical layer signaling in a separate waveform from the combination of the set of waveforms for the set of UEs.
  19. A processor, comprising: at least one controller coupled with at least one memory and configured to cause the processor to: receive, from a base station (BS) , a combination of a set of waveforms for a set of UEs; receive, from the BS, an indication of a set of weighting coefficients associated with the set of waveforms, wherein each waveform of the set of waveforms corresponds to a UE of the set of UEs and is generated based at least in part on an initial waveform for a corresponding UE and weighting coefficients associated with a corresponding waveform among the set of weighting coefficients, wherein the initial waveform carries bit information, and wherein the set of weighting coefficients are determined based at least in part on approximating the combination of the set of waveforms to a radar waveform; and demodulate a waveform from the combination of the set of waveforms based at least in part on the received set of weighting coefficients.
  20. A method for integrated sensing and communication, comprising: determining, based on a multiple access scheme for wireless communication with a set of user equipment (UE) , an initial waveform for each UE of the set of UEs, wherein the initial waveform carries bit information; generating a set of waveforms, each waveform of the set of waveforms corresponding to a UE of the set of UEs, based at least in part on the initial waveforms for the set of UEs and a set of weighting coefficients associated with the generated set of waveforms; determining the set of weighting coefficients based at least in part on approximating a combination of the generated set of waveforms to a radar waveform; transmitting, to the set of UEs, an indication of the set of weighting coefficients associated with the generated set of waveforms; and transmitting, to the set of UEs, the combination of the generated set of waveforms.

Description

WAVEFORM DESIGN FOR INTEGRATED SENSING AND COMMUNICATION SYSTEM TECHNICAL FIELD Embodiments of the present disclosure generally relate to wireless communication technology, and more particularly to integrated sensing and communication. BACKGROUND A wireless communication system may include one or multiple network communication devices, such as base stations, which may support wireless communication for one or multiple user communication devices, which may be otherwise known as user equipment (UE) , or other suitable terminology. The wireless communication system may support wireless communication with one or multiple user communication devices by utilizing resources of the wireless communication system (e.g., time resources (e.g., symbols, slots, subframes, frames, or the like) or frequency resources (e.g., subcarriers, carriers, or the like) . Additionally, the wireless communication system may support wireless communication across various radio access technologies including third generation (3G) radio access technology, fourth generation (4G) radio access technology, fifth generation (5G) (which is also known as new radio (NR) ) radio access technology, among other suitable radio access technologies beyond 5G (e.g., sixth generation (6G) ) . Wireless sensing technologies enable the acquisition of information about a remote object and its characteristics without the need for physical contact. These technologies utilize perception data of the object, allowing for analysis and obtaining meaningful information about the object and its characteristics. An example of wireless sensing technologies is radar, which uses radio waves to determine various aspects of objects, such as distance (range) , angle, or instantaneous linear velocity. Additionally, there are other alternative sensing technologies, including non-radio frequency (RF) sensors, which have been supported in applications in different fields.  Examples of such sensors are time-of-flight (ToF) cameras, accelerometers, gyroscopes and LiDARs. Integrated sensing and communication may refer to the provision of sensing capabilities within the same wireless communication system and infrastructure, such as 5G or 6G, that is used for communication purposes. It may be desirable to introduce integrated sensing and communication into wireless communication systems, such as a 5G or a 6G systems. It may be further desirable to improve the quality and performance of integrated sensing and communication services to meet various requirements across various applications. SUMMARY An article “a” before an element is unrestricted and understood to refer to “at least one” of those elements or “one or more” of those elements. The terms “a, ” “at least one, ” “one or more, ” and “at least one of one or more” may be interchangeable. As used herein, including in the claims, “or” as used in a list of items (e.g., a list of items prefaced by a phrase such as “at least one of” or “one or more of” or “one or both of” ) indicates an inclusive list such that, for example, a list of at least one of A, B, or C means A or B or C or AB or AC or BC or ABC (i.e., A and B and C) . Also, as used herein, the phrase “based on” shall not be construed as a reference to a closed set of conditions. For example, an example step that is described as “based on condition A” may be based on both a condition A and a condition B without departing from the scope of the present disclosure. In other words, as used herein, the phrase “based on” shall be construed in the same manner as the phrase “based at least in part on. ” Further, as used herein, including in the claims, a “set” may include one or more elements. Some embodiments of the present disclosure provide a base station (BS) . The BS may include: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the BS to: determine, based on a multiple access scheme for wireless communication with a set of UEs, an initial waveform for each UE of the set of UEs, wherein the initial waveform carries bit information; generate a set of waveforms, each waveform of the set of waveforms corresponding to a UE of the set of UEs, based at least in part on the initial waveforms for the set of UEs  and a set of weighting coefficients associated with the generated set of waveforms; determine the set of weighting coefficients based at least in part on approximating a combination of the generated set of waveforms to a radar waveform; transmit, to the set of UEs, an indication of the set of weighting coefficients associated with the generated set of waveforms; and transmit, to the set of UEs, the combination of the generated set of waveforms. Some embodiments of the present disclosure provide a UE. The UE may include at least one memory; and at least one processor coupled with the at least one memory and configured to cause the UE to: receive, from a BS, a combination of a set of waveforms for a set of