Education, Science, Technology, Innovation and Life
Open Access
Sign In

Communication and sensing performance study of NOMA-ISAC system with IRS-assisted SWIPT

Download as PDF

DOI: 10.23977/jeis.2024.090113 | Downloads: 12 | Views: 118

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 Cui

ABSTRACT

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 transfer

CITE 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.

REFERENCES

[1] Saad W, Bennis M, Chen M. A vision of 6G wireless systems: Applications, trends, technologies, and open research problems [J]. IEEE network, 2019, 34(3): 134-142.
[2] De Lima C, Belot D, Berkvens R, et al. Convergent communication, sensing and localization in 6G systems: An overview of technologies, opportunities and challenges[J]. IEEE Access, 2021, 9: 26902-26925.
[3] Zhang J A, Liu F, Masouros C, et al. An overview of signal processing techniques for joint communication and radar sensing [J]. IEEE Journal of Selected Topics in Signal Processing, 2021, 15(6): 1295-1315.
[4] Zhang J A, Rahman M L, Wu K, et al. Enabling joint communication and radar sensing in mobile networks—A survey[J]. IEEE Communications Surveys & Tutorials, 2021, 24(1): 306-345.
[5] Liu A, Huang Z, Li M, et al. A survey on fundamental limits of integrated sensing and communication[J]. IEEE Communications Surveys & Tutorials, 2022, 24(2): 994-1034.
[6] Mu J, Gong Y, Zhang F, et al. Integrated sensing and communication-enabled predictive beamforming with deep learning in vehicular networks[J]. IEEE Communications Letters, 2021, 25(10): 3301-3304.
[7] Wang X, Fei Z, Huang J, et al. Joint waveform and discrete phase shift design for RIS-assisted integrated sensing and communication system under Cramer-Rao bound constraint[J]. IEEE Transactions on Vehicular Technology, 2021, 71(1): 1004-1009.
[8] Wang Z, Liu Y, Mu X, et al. NOMA empowered integrated sensing and communication[J]. IEEE Communications Letters, 2022, 26(3): 677-681.
[9] Wang Z, Liu Y, Mu X, et al. NOMA inspired interference cancellation for integrated sensing and communication [C]//ICC 2022-IEEE International Conference on Communications. IEEE, 2022: 3154-3159.
[10] Li X, Zhao M, Zeng M, et al. Hardware impaired ambient backscatter NOMA systems: Reliability and security[J]. IEEE Transactions on Communications, 2021, 69(4): 2723-2736.
[11] Liu X, Zhai X B, Lu W, et al. QoS-guarantee resource allocation for multibeam satellite industrial internet of things with NOMA[J]. IEEE Transactions on Industrial Informatics, 2019, 17(3): 2052-2061.
[12] Memisoglu E, Türkmen H, Ozbakis B A, et al. CSI-based NOMA for Integrated Sensing and Communication[J]. IEEE Wireless Communications Letters, 2023.
[13] Ouyang C, Liu Y, Yang H. On the performance of uplink ISAC systems[J]. IEEE Communications Letters, 2022, 26(8): 1769-1773.
[14] Tao L, Yang W, Lu X, et al. Achieving covert communication in uplink NOMA systems via energy harvesting jammer[J]. IEEE Communications Letters, 2021, 25(12): 3785-3789.
[15] Pham Q V, Fang F, Ha V N, et al. A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art [J]. IEEE access, 2020, 8: 116974-117017.
[16] Xia S, Yao Z, Li Y, et al. Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT[J]. IEEE Transactions on Wireless Communications, 2021, 20(10): 6743-6757.
[17] Do D T, Le A T, Liu Y, et al. User grouping and energy harvesting in UAV-NOMA system with AF/DF relaying[J]. IEEE Transactions on Vehicular Technology, 2021, 70(11): 11855-11868.
[18] Zargari S, Khalili A, Wu Q, et al. Max-min fair energy-efficient beamforming design for intelligent reflecting surface-aided SWIPT systems with non-linear energy harvesting model[J]. IEEE Transactions on Vehicular Technology, 2021, 70(6): 5848-5864.
[19] Liu Z, Zhao S, Wu Q, et al. Joint trajectory design and resource allocation for IRS-assisted UAV communications with wireless energy harvesting[J]. IEEE Communications Letters, 2021, 26(2): 404-408.
[20] Liu X, Zhang H, Long K, et al. Proximal policy optimization-based transmit beamforming and phase-shift design in an IRS-aided ISAC system for the THz band[J]. IEEE Journal on Selected Areas in Communications, 2022, 40(7): 2056-2069.
[21] Yang Z, Xu P, Chen G, et al. Performance analysis of IRS-assisted NOMA networks with randomly deployed users [J]. IEEE systems journal, 2022.
[22] Lyu B, Ramezani P, Hoang D T, et al. IRS-assisted downlink and uplink NOMA in wireless powered communication networks [J]. IEEE Transactions on Vehicular Technology, 2021, 71(1): 1083-1088.

Downloads: 6526
Visits: 253710

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.