US-12621118-B2 - Self-interference cancellation for full-duplex communication

Abstract

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may transmit a first signal in accordance with a full duplex configuration. The network node may receive a second signal comprising a communication and self-interference associated with the first signal, wherein receiving the second signal comprises cancelling the self-interference based at least in part on a nonlinear interference cancellation (NLIC) procedure associated with a subset of kernels of a set of nonlinear candidate kernels corresponding to a nonlinear self-interference model. Numerous other aspects are described.

Inventors

• Min Soo SIM
• Wooseok Nam
• Zhifei Fan
• Shubham AHUJA
• Alexander Dorosenco
• Tao Luo

Assignees

• QUALCOMM INCORPORATED

Dates

Publication Date

20260505

Application Date

20221228

Claims (20)

1. 1 . A network node for wireless communication, comprising: one or more memories; and one or more processors, based at least in part on information stored in the one or more memories, configured to: transmit a first signal in accordance with a full duplex configuration; generate a subset of kernels, of a set of nonlinear candidate kernels corresponding to a nonlinear self-interference model, based at least in part on performing a kernel selection procedure; estimate a set of coefficients based at least in part on performing a coefficient estimation procedure, wherein a quantity of coefficients in the set of coefficients is based at least in part on a quantity of selected kernels in the subset of kernels; and receive a second signal comprising a communication and self-interference associated with the first signal, wherein receiving the second signal comprises cancelling the self-interference based at least in part on a nonlinear interference cancellation (NLIC) procedure associated with the subset of kernels.
2. 2 . The network node of claim 1 , wherein the one or more processors are further configured to perform the NLIC procedure.
3. 3 . The network node of claim 2 , wherein the one or more processors, to perform the NLIC procedure, are configured to: generate a self-interference reconstruction based at least in part on the set of coefficients, wherein cancelling the self-interference comprises subtracting the self-interference reconstruction from the second signal.
4. 4 . The network node of claim 1 , wherein the one or more processors, to perform the kernel selection procedure, are configured to perform the kernel selection procedure periodically, semi-persistently, or aperiodically.
5. 5 . The network node of claim 1 , wherein the one or more processors, to perform the coefficient estimation procedure, are configured to perform the coefficient estimation procedure periodically, semi-persistently, or aperiodically.
6. 6 . The network node of claim 1 , wherein the one or more processors, to perform the kernel selection procedure, are configured to perform the kernel selection procedure concurrently with performing the coefficient estimation procedure.
7. 7 . The network node of claim 1 , wherein the one or more processors, to perform the kernel selection procedure, are configured to perform the kernel selection procedure during a first time period, and wherein the one or more processors, to perform the coefficient estimation procedure, are configured to perform the coefficient estimation procedure during a second time period that is different from the first time period.
8. 8 . The network node of claim 1 , wherein the one or more processors, to perform at least one of the kernel selection procedure or the coefficient estimation procedure, are configured to perform the at least one of the kernel selection procedure or the coefficient estimation procedure based at least in part on a set of self-interference cancellation (SIC) resources.
9. 9 . The network node of claim 1 , wherein the one or more processors, to perform the kernel selection procedure, are configured to: generate the set of nonlinear kernel candidates; select a first kernel of the set of nonlinear candidate kernels based at least in part on a first kernel vector associated with the first kernel corresponding to a first maximum correlation with the second signal, wherein the first maximum correlation comprises a greatest correlation value from a set of correlation values corresponding to the set of candidate kernels; generate a second kernel vector corresponding to a second kernel of the set of nonlinear candidate kernels; generate an orthonormalized kernel vector by orthonormalizing the second kernel vector with the first kernel vector; and select the second kernel based at least in part on the orthonormalized kernel vector corresponding to a second maximum correlation with the second signal, wherein the second maximum correlation comprises a greatest correlation value from a subset of candidate kernels of the set of candidate kernels, wherein the subset of candidate kernels excludes the first kernel.
10. 10 . The network node of claim 1 , wherein the one or more processors are further configured to perform, based at least in part on a set of self-interference cancellation (SIC) resources, at least one of an updated kernel selection procedure or an updated coefficient estimation procedure.
11. 11 . The network node of claim 10 , wherein the set of SIC resources corresponds to a transmission pause associated with at least one other network node.
12. 12 . The network node of claim 1 , wherein the one or more processors, to perform the coefficient estimation procedure, are configured to transmit a self-interference reference signal, and wherein the one or more processors, to estimate the set of coefficients, are configured to estimate the set of coefficients based at least in part on the self-interference reference signal.
13. 13 . The network node of claim 1 , wherein the one or more processors, to perform the coefficient estimation procedure, are configured to perform at least one of a least square procedure or a recursive least square procedure.
14. 14 . The network node of claim 1 , wherein the one or more processors are further configured to generate at least one of the set of nonlinear candidate kernels, a quantity of kernels in the subset of kernels, or a length of a reference signal.
15. 15 . A method of wireless communication performed by a network node, comprising: transmitting, by the network node, a first signal in accordance with a full duplex configuration; generating a subset of kernels, of a set of nonlinear candidate kernels corresponding to a nonlinear self-interference model, based at least in part on performing a kernel selection procedure; estimating a set of coefficients based at least in part on performing a coefficient estimation procedure, wherein a quantity of coefficients in the set of coefficients is based at least in part on a quantity of selected kernels in the subset of kernels; and receiving, by the network node in accordance with the full duplex configuration, a second signal comprising a communication and self-interference associated with the first signal, wherein receiving the second signal comprises cancelling the self-interference based at least in part on a nonlinear interference cancellation (NLIC) procedure associated with a subset of kernels of a set of nonlinear candidate kernels corresponding to a nonlinear self-interference model.
16. 16 . The method of claim 15 , further comprising performing the NLIC procedure.
17. 17 . The method of claim 16 , wherein performing the NLIC procedure comprises: generating a self-interference reconstruction based at least in part on the set of coefficients, wherein cancelling the self-interference comprises subtracting the self-interference reconstruction from the second signal.
18. 18 . The method of claim 15 , wherein performing the kernel selection procedure comprises performing the kernel selection procedure periodically, semi-persistently, or aperiodically.
19. 19 . The method of claim 15 , wherein performing the coefficient estimation procedure comprises performing the coefficient estimation procedure periodically, semi-persistently, or aperiodically.
20. 20 . The method of claim 15 , wherein performing the kernel selection procedure comprises performing the kernel selection procedure concurrently with performing the coefficient estimation procedure.

Description

CROSS-REFERENCE TO RELATED APPLICATION This Patent Application claims priority to U.S. Provisional Patent Application No. 63/363,084, filed on Apr. 15, 2022, entitled “SELF-INTERFERENCE CANCELLATION FOR FULL-DUPLEX COMMUNICATION,” and assigned to the assignee hereof. The disclosure of the prior Application is considered part of and is incorporated by reference into this Patent Application. FIELD OF THE DISCLOSURE Aspects of the present disclosure generally relate to wireless communication and to techniques and apparatuses for self-interference cancellation for full-duplex communication. BACKGROUND Wireless communication systems are widely deployed to provide various telecommunication services such as telephony, video, data, messaging, and broadcasts. Typical wireless communication systems may employ multiple-access technologies capable of supporting communication with multiple users by sharing available system resources (e.g., bandwidth, transmit power, or the like). Examples of such multiple-access technologies include code division multiple access (CDMA) systems, time division multiple access (TDMA) systems, frequency division multiple access (FDMA) systems, orthogonal frequency division multiple access (OFDMA) systems, single-carrier frequency division multiple access (SC-FDMA) systems, time division synchronous code division multiple access (TD-SCDMA) systems, and Long Term Evolution (LTE). LTE/LTE-Advanced is a set of enhancements to the Universal Mobile Telecommunications System (UMTS) mobile standard promulgated by the Third Generation Partnership Project (3GPP). A wireless network may include one or more base stations that support communication for a user equipment (UE) or multiple UEs. A UE may communicate with a base station via downlink communications and uplink communications. “Downlink” (or “DL”) refers to a communication link from the base station to the UE, and “uplink” (or “UL”) refers to a communication link from the UE to the base station. The above multiple access technologies have been adopted in various telecommunication standards to provide a common protocol that enables different UEs to communicate on a municipal, national, regional, and/or global level. New Radio (NR), which may be referred to as 5G, is a set of enhancements to the LTE mobile standard promulgated by the 3GPP. NR is designed to better support mobile broadband internet access by improving spectral efficiency, lowering costs, improving services, making use of new spectrum, and better integrating with other open standards using orthogonal frequency division multiplexing (OFDM) with a cyclic prefix (CP) (CP-OFDM) on the downlink, using CP-OFDM and/or single-carrier frequency division multiplexing (SC-FDM) (also known as discrete Fourier transform spread OFDM (DFT-s-OFDM)) on the uplink, as well as supporting beamforming, multiple-input multiple-output (MIMO) antenna technology, and carrier aggregation. As the demand for mobile broadband access continues to increase, further improvements in LTE, NR, and other radio access technologies remain useful. SUMMARY Some aspects described herein relate to a network node for wireless communication. The network node may include a memory and one or more processors coupled to the memory. The one or more processors may be configured to transmit a first signal in accordance with a full duplex configuration. The one or more processors may be configured to receive a second signal comprising a communication and self-interference associated with the first signal, wherein receiving the second signal comprises cancelling the self-interference based at least in part on a nonlinear interference cancellation (NLIC) procedure associated with a subset of kernels of a set of nonlinear candidate kernels corresponding to a nonlinear self-interference model. Some aspects described herein relate to a method of wireless communication performed by a network node. The method may include transmitting, by the network node, a first signal in accordance with a full duplex configuration. The method may include receiving, by the network node in accordance with the full duplex configuration, a second signal comprising a communication and self-interference associated with the first signal, wherein receiving the second signal comprises cancelling the self-interference based at least in part on an NLIC procedure associated with a subset of kernels of a set of nonlinear candidate kernels corresponding to a nonlinear self-interference model. Some aspects described herein relate to a non-transitory computer-readable medium that stores a set of instructions for wireless communication by a network node. The set of instructions, when executed by one or more processors of the network node, may cause the network node to transmit a first signal in accordance with a full duplex configuration. The set of instructions, when executed by one or more processors of the network node, may cause the network node to receive a second si