On Normalized Least Mean Square Based Interference Cancellation Algorithm for Integrated Sensing and Communication Systems

doi:10.12142/ZTECOM.202403004

ZTE Communications ›› 2024, Vol. 22 ›› Issue (3): 21-28.DOI: 10.12142/ZTECOM.202403004

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On Normalized Least Mean Square Based Interference Cancellation Algorithm for Integrated Sensing and Communication Systems

YU Xiaohui, YU Shucheng, LIU Xiqing(), PENG Mugen

Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2024-08-04 Online:2024-09-29 Published:2024-09-29
About author:YU Xiaohui received his BS degree from the School of Information Engineering, Guangdong University of Technology, China in 2023. He is currently working toward an MS degree at Beijing University of Posts and Telecommunications, China. His research interests include integrated sensing and communication, and wireless communication.
YU Shucheng received his BS and MS degrees from the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China in 2021 and 2024, respectively. His research interests include integrated sensing and communication and wireless communication.
LIU Xiqing ( liuxiqing@bupt.edu.cn) received his MS and PhD degrees from Harbin University of Science and Technology, China and Harbin Institute of Technology, China in 2012 and 2017, respectively. Currently, he is an associate professor with the State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China. His research interests include integrated sensing and communications, waveform designs for wireless transmission, and multiple access technologies. He has served as a technical editor of IEEE Wireless communications.
PENG Mugen received his PhD degree in communication and information systems from Beijing University of Posts and Telecommunications (BUPT), China in 2005. Afterward, he joined BUPT, where he has been the deputy director with the State Key Laboratory of Networking and Switching Technology since 2018. Currently, he is the vice president of BUPT. During 2014, he was also an academic visiting fellow with Princeton University, USA. His research interests include integrated sensing and communication, wireless communication theory, and radio signal processing. He was a recipient of the 2018 Heinrich Hertz Prize Paper Award, the 2014 IEEE ComSoc AP Outstanding Young Researcher Award, the Best Paper Award in the ICCC 2024 and ICC 2022, etc. He is currently on the Editorial/Associate Editorial Board of the IEEE Network, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Network Science and Engineering, etc.
Supported by:
This work were supported in part by the National Key Research and Development Program of China(2021YFB2900200);National Natural Science Foundation of China(61925101);Beijing Natural Science Foundation(L223007-2)

Abstract

Abstract:

Integrated sensing and communication (ISAC) technology is a promising candidate for next-generation communication systems. However, severe co-site interference in existing ISAC systems limits the communication and sensing performance, posing significant challenges for ISAC interference management. In this work, we propose a novel interference management scheme based on the normalized least mean square (NLMS) algorithm, which mitigates the impact of co-site interference by reconstructing the interference from the local transmitter and canceling it from the received signal. Simulation results demonstrate that, compared to typical adaptive interference management schemes based on recursive least square (RLS) and stochastic gradient descent (SGD) algorithms, the proposed NLMS algorithm effectively cancels co-site interference and achieves a good balance between computational complexity and convergence performance.

Key words: interference management, OFDM, 5G new radio, interference cancellation, radio frequency domain

YU Xiaohui, YU Shucheng, LIU Xiqing, PENG Mugen. On Normalized Least Mean Square Based Interference Cancellation Algorithm for Integrated Sensing and Communication Systems[J]. ZTE Communications, 2024, 22(3): 21-28.

Figures/Tables 7

Table 1 Simulation parameters

Parameter	Value
Rician factor	13 dB
Channel taps	10
Modulation	QPSK, 16 QAM
Subcarrier space ( $Δ f$ )	30 kHz
FFT length	512
Communication channel type	EPA, ETU, EVA
Equalizer	MMSE
SIR	-60 dB
SGD step size ( $μ$ )	0.01, 0.1
RLS forgetting factor ( $λ$ )	0.99, 0.9
NLMS small value ( $ρ$ )	0.001

Table 1 Simulation parameters

Parameter	Value
Rician factor	13 dB
Channel taps	10
Modulation	QPSK, 16 QAM
Subcarrier space ( $Δ f$ )	30 kHz
FFT length	512
Communication channel type	EPA, ETU, EVA
Equalizer	MMSE
SIR	-60 dB
SGD step size ( $μ$ )	0.01, 0.1
RLS forgetting factor ( $λ$ )	0.99, 0.9
NLMS small value ( $ρ$ )	0.001

Table 2 Computational complexity of SGD, NLMS, and RLS algorithm [ 29]

Algorithm

Number of Additions

per Iteration

Number of Multiplications

per Iteration

SGD

L + 1

2 L

NLMS

2 L + 1

3 L + 50

RLS

L 2 + L

2 L 2 + 3 L + 50

Table 2 Computational complexity of SGD, NLMS, and RLS algorithm [ 29]

Algorithm

Number of Additions

per Iteration

Number of Multiplications

per Iteration

SGD

L + 1

2 L

NLMS

2 L + 1

3 L + 50

RLS

L 2 + L

2 L 2 + 3 L + 50

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On Normalized Least Mean Square Based Interference Cancellation Algorithm for Integrated Sensing and Communication Systems

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