Successive interference cancellation-based channel estimation for self-interference cancellation in in-band full-duplex systems

IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Communications and Networks Pub Date : 2024-10-01 DOI:10.23919/JCN.2024.000048
Jin Kwan Kim;Yunjoong Park;Joon Young Kim
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Abstract

The integrated sensing and communications (ISAC) system has become a promising scheme for combining sensing and communication features to send data and sense the physical space concurrently. Although it aims to understand the channel condition and communication environment with sensing capability, it still requires sustainable high-data transmission with efficient spectrum usage. The in-band full-duplex (IBFD) system can be a possible solution to support high data transmission while increasing spectrum efficiency. Since IBFD has a self-interference issue, one of the significant factors that deteriorate its performance, we need to investigate possible solutions to resolve this matter. In this paper, we present an improved self-interference cancellation receiver with successive interference cancellation (SIC)-based channel estimation for the IBFD system. Since SIC aims to mitigate the multiple interference effects, our proposed algorithm applied SIC to the channel estimation for the performance gain. Our results show that SI cancellation with SIC-based channel estimation improves the IBFD bit error rate (BER) of the new radio (NR) for the ISAC system.
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基于连续干扰消除的信道估计,用于消除带内全双工系统中的自干扰
综合传感与通信(ISAC)系统已成为将传感与通信功能相结合的一种前景广阔的方案,可同时发送数据和感知物理空间。虽然它的目的是利用传感能力了解信道状况和通信环境,但它仍然需要可持续的高数据传输和有效的频谱利用。带内全双工(IBFD)系统是在提高频谱效率的同时支持高数据传输的一种可行解决方案。由于 IBFD 存在自干扰问题,这也是影响其性能的重要因素之一,因此我们需要研究可行的解决方案来解决这一问题。在本文中,我们为 IBFD 系统提出了一种基于连续干扰消除(SIC)信道估计的改进型自干扰消除接收器。由于 SIC 的目的是减轻多重干扰效应,我们提出的算法将 SIC 应用于信道估计以提高性能。我们的研究结果表明,基于 SIC 的信道估计的自干扰消除提高了 ISAC 系统中新无线电(NR)的 IBFD 误码率(BER)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.60
自引率
5.60%
发文量
66
审稿时长
14.4 months
期刊介绍: The JOURNAL OF COMMUNICATIONS AND NETWORKS is published six times per year, and is committed to publishing high-quality papers that advance the state-of-the-art and practical applications of communications and information networks. Theoretical research contributions presenting new techniques, concepts, or analyses, applied contributions reporting on experiences and experiments, and tutorial expositions of permanent reference value are welcome. The subjects covered by this journal include all topics in communication theory and techniques, communication systems, and information networks. COMMUNICATION THEORY AND SYSTEMS WIRELESS COMMUNICATIONS NETWORKS AND SERVICES.
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