Joint Space-Time Interference Cancellation for mmWave Active Array SDR Platforms in Coexistent Sensing and Communication Systems

This paper investigates the interference issue between sensing and communication millimeter-wave (mmWave) active arrays, such as the sensing array (SA) and communication array (CA), which share the same time and frequency resources at a base station (BS) in integrated sensing and communication (ISAC) systems. To mitigate interference and improve signal quality at the communication user station (CUS), we propose a joint space-time interference cancellation method. This method integrates spatial interference suppression for SA-BS using a deep nulling weight design with 6-bit phase shifters and temporal pre-weight cancellation for CA-BS. Specifically, for the SA-BS array, deep nulling beamforming is achieved through exhaustive search (ES) or genetic algorithm (GA) techniques, leveraging an initial minimum mean square error (MMSE) weight with a 2-bit least significant bit (LSB) precision. For the CA-BS array, interference is further canceled by regenerating an accurate pre-weighted version of the interference signal, necessitating the channel estimation for both SA-BS and CA-BS arrays. Experimental results from a software-defined radio (SDR) platform equipped with developed dual mmWave active arrays confirm that the proposed space-time interference cancellation method effectively eliminates interference in over-the-air (OTA) environments, thereby enhancing the overall performance of mmWave active array systems practically.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3552527
Citations
1
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.73

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article

Joint Space-Time Interference Cancellation for mmWave Active Array SDR Platforms in Coexistent Sensing and Communication Systems

Soo Yong Lim, Juinn‐Horng Deng, Magdy F. Iskander, Yuanzhang Xiao et al.
1 citations
IEEE Access
Millimeter-Wave Propagation and Modeling
0.73
article

Joint Space-Time Interference Cancellation for mmWave Active Array SDR Platforms in Coexistent Sensing and Communication Systems

Soo Yong Lim, Juinn‐Horng Deng, Magdy F. Iskander, Yuanzhang Xiao, Meng‐Lin Ku, Jill S. K. Nakatsu
article en
1 citations

Abstract

This paper investigates the interference issue between sensing and communication millimeter-wave (mmWave) active arrays, such as the sensing array (SA) and communication array (CA), which share the same time and frequency resources at a base station (BS) in integrated sensing and communication (ISAC) systems. To mitigate interference and improve signal quality at the communication user station (CUS), we propose a joint space-time interference cancellation method. This method integrates spatial interference suppression for SA-BS using a deep nulling weight design with 6-bit phase shifters and temporal pre-weight cancellation for CA-BS. Specifically, for the SA-BS array, deep nulling beamforming is achieved through exhaustive search (ES) or genetic algorithm (GA) techniques, leveraging an initial minimum mean square error (MMSE) weight with a 2-bit least significant bit (LSB) precision. For the CA-BS array, interference is further canceled by regenerating an accurate pre-weighted version of the interference signal, necessitating the channel estimation for both SA-BS and CA-BS arrays. Experimental results from a software-defined radio (SDR) platform equipped with developed dual mmWave active arrays confirm that the proposed space-time interference cancellation method effectively eliminates interference in over-the-air (OTA) environments, thereby enhancing the overall performance of mmWave active array systems practically.

IEEE AccessVol. 13
University of Hawaiʻi at Mānoa (US), University of Hawaii System (US), University of Nottingham Malaysia Campus (MY), National Central University (TW), Yuan Ze University (TW)
National Science and Technology Council
Affordable and clean energy
Openalex Percentile: Top 30%
Millimeter-Wave Propagation and Modeling
0.73
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