Communication and sensing performance study of NOMA-ISAC system with IRS-assisted SWIPT
DOI: 10.23977/jeis.2024.090113 | Downloads: 12 | Views: 119
Author(s)
Dongkai Cui 1, Ya Li 1, Kailuo Zhang 1, Xin Wang 1
Affiliation(s)
1 School of Physics and Electronic Information, Henan Polytechnic University, Jiaozuo, 454003, China
Corresponding Author
Dongkai CuiABSTRACT
Integrated sensing and communication (ISAC) and non-orthogonal multiple access (NOMA) are critical technologies for beyond 5th generation (B5G) and 6th generation mobile communications owing to their exceptional spectral efficiency and efficient hardware resource utilization. These technologies are widely utilized in emerging industries such as intelligent transportation systems for smart cars. Based on this, this paper explores a single-lane scenario using a NOMA-ISAC network, complemented by the assistance of an intelligent reflecting surface (IRS) and simultaneous wireless information and power transfer (SWIPT). The purpose of this investigation is to jointly evaluate the performance of both radar and communication functions. That is, the base station (BS), the detection vehicle (Alice), and the target vehicle (Bob) form a NOMA-ISAC network, the network can achieve both energy harvesting with the assistance of an IRS, and sensing of Bob by Alice. In particular, an energy harvesting strategy with time switching is used to implement energy supply from BS to Alice. Closed-form expressions are derived to evaluate the outage probability (OP) for Alice and Bob. The probability of detection (PD) and joint detection communication coverage probability (JDCCP) at Alice is also analyzed.
KEYWORDS
Integrated sensing and communications, non-orthogonal multiple access, intelligent reflecting surface, simultaneous wireless information and power transferCITE THIS PAPER
Dongkai Cui, Ya Li, Kailuo Zhang, Xin Wang, Communication and sensing performance study of NOMA-ISAC system with IRS-assisted SWIPT. Journal of Electronics and Information Science (2024) Vol. 9: 85-94. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090113.
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