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Integrated Sensing and Communication in IRS-assisted High-Mobility Systems: Design, Analysis and Optimization

Published 31 Jul 2024 in cs.IT, eess.SP, and math.IT | (2407.21301v1)

Abstract: In this paper, we investigate integrated sensing and communication (ISAC) in high-mobility systems with the aid of an intelligent reflecting surface (IRS). To exploit the benefits of Delay-Doppler (DD) spread caused by high mobility, orthogonal time frequency space (OTFS)-based frame structure and transmission framework are proposed. {In such a framework,} we first design a low-complexity ratio-based sensing algorithm for estimating the velocity of mobile user. Then, we analyze the performance of sensing and communication in terms of achievable mean square error (MSE) and achievable rate, respectively, and reveal the impact of key parameters. Next, with the derived performance expressions, we jointly optimize the phase shift matrix of IRS and the receive combining vector at the base station (BS) to improve the overall performance of integrated sensing and communication. Finally, extensive simulation results confirm the effectiveness of the proposed algorithms in high-mobility systems.

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References (53)
  1. F. Liu, Y. Cui, C. Masouros, J. Xu, T. Han, Y. C. Eldar, and S. Buzzi, “Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond,” IEEE J. Sel. Areas Commun., vol. 40, no. 6, pp. 1728–1767, Jun. 2022.
  2. A. Zhang, M. L. Rahman, X. Huang, Y. J. Guo, S. Chen, and R. W. Heath, “Perceptive mobile network: Cellular networks with radio vision via joint communication and radar sensing,” IEEE Veh. Technol. Mag., vol. 16, no. 2, pp. 20–30, Jun. 2021.
  3. J. A. Zhang, M. L. Rahman, K. Wu, X. Huang, Y. J. Guo, S. Chen, and J. Yuan, “Enabling joint communication and radar sensing in mobile networks survey,” Commun. Survs & Tuts, vol. 24, no. 1, pp. 306–345, 2022.
  4. Q. Zhang, H. Sun, X. Gao, X. Wang, and Z. Feng, “Time-division ISAC enabled connected automated vehicles cooperation algorithm design and performance evaluation,” IEEE J. Sel. Areas Commun., vol. 40, no. 7, pp. 2206–2218, Jul. 2022.
  5. P. Raviteja, K. T. Phan, and Y. Hong, “Embedded pilot-aided channel estimation for OTFS in delay–doppler channels,” IEEE Trans. Veh. Technol., vol. 68, no. 5, pp. 4906–4917, May 2019.
  6. X. Xia, K. Xu, Y. Wang, Y. Xu, and W. Xie, “Achieving better accuracy with less computations: A Delay-Doppler spectrum matching assisted active sensing framework for OTFS based ISAC systems,” IEEE Trans. Wireless Commun., early access, doi: 10.1109/TWC.2023.3330845.
  7. Q. Wu and R. Zhang, “Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network,” IEEE Commun. Mag., vol. 58, no. 1, pp. 106–112, Jan. 2020.
  8. Z. Xing, R. Wang, and X. Yuan, “Joint active and passive beamforming design for reconfigurable intelligent surface enabled integrated sensing and communication,” IEEE Trans. Commun., vol. 71, no. 4, pp. 2457–2474, Apr. 2023.
  9. M. Hua, Q. Wu, C. He, S. Ma, and W. Chen, “Joint active and passive beamforming design for IRS-aided radar-communication,” IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2278–2294, Apr. 2023.
  10. C. Liao, F. Wang, and V. K. N. Lau, “Optimized design for IRS-assisted integrated sensing and communication systems in clutter environments,” IEEE Trans. Commun., vol. 71, no. 8, pp. 4721–4734, Aug. 2023.
  11. H. Zhang, R. Liu, M. Li, W. Wang, and Q. Liu, “Joint sensing and communication optimization in target-mounted STARS-assisted vehicular networks: A MADRL approach,” IEEE Trans. Veh. Technol., early access, Feb. 2024, doi: 10.1109/TVT.2024.3364761.
  12. M. Li, S. Zhang, Y. Ge, Z. Li, F. Gao, and P. Fan, “Integrated sensing and communication with STAR-RIS over high mobility scenario,” in Proc. IEEE Global Commun. Conf. (GLOBECOM) , Kuala Lumpur, Malaysia, 2023, pp. 6493–6498,
  13. Z. Wang, X. Mu, and Y. Liu, “STARS Enabled Integrated Sensing and Communications,” IEEE Trans. Wireless Commun., vol. 22, no. 10, pp. 6750–6765, Oct. 2023.
  14. X. Song, D. Zhao, H. Hua, T. X. Han, X. Yang, and J. Xu, “Joint transmit and reflective beamforming for IRS-assisted integrated sensing and communication,” in Proc. IEEE Wireless Commun. Netw. Conf., Apr. 2022, pp. 189–194.
  15. T. Wei, L. Wu, K. V. Mishra, and M. R. B. Shankar, “Multi-IRS-aided Doppler-tolerant wideband DFRC system,” IEEE Trans. Commun., vol. 71, no. 11, pp. 6561–6577, Nov. 2023.
  16. X. Hu, C. Liu, M. Peng, and C. Zhong, “IRS-based integrated location sensing and communication for mmWave SIMO systems,” IEEE Trans. Wireless Commun., vol. 22, no. 6, pp. 4132–4145, Jun. 2023.
  17. Z. Yu, X. Hu, C. Liu, M. Peng, and C. Zhong, “Location sensing and beamforming design for IRS-enabled multi-user ISAC systems,” IEEE Trans. Sig. Process., vol. 70, pp. 5178–5193, Nov. 2022
  18. L. Xie, X. Yu, and S. Song, “Intelligent reflecting surface-aided manoeuvring target sensing: True velocity estimation,” in Proc. Int. Symp. Wireless Commun. Syst., 2022, pp. 1–6.
  19. D. Cong, S. Guo, S. Dang, and H. Zhang, “Vehicular behavior-aware beamforming design for integrated sensing and communication systems,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 6, pp. 5923–5935, Jun. 2023.
  20. Z. Liu, C. Yang, T. Zhou, and M. Peng, “Performance model of terahertz joint radar-communication systems under random mobility,” in Proc. IEEE 95th Veh. Technol. Conf. (VTC-Spring), Jun. 2022, pp. 1–6.
  21. P. Raviteja, K. T. Phan, Y. Hong, and E. Viterbo, “Interference cancellation and iterative detection for orthogonal time frequency space modulation,” IEEE Trans. Wireless Commun., vol. 17, no. 10, pp. 6501–6515, Oct. 2018.
  22. G. D. Surabhi, R. M. Augustine, and A. Chockalingam, “Peak-to-average power ratio of OTFS modulation,” IEEE Commun. Lett., vol. 23, no. 6, pp. 999–1002, Jun. 2019.
  23. L. Gaudio, M. Kobayashi, G. Caire, and G. Colavolpe, “On the effectiveness of OTFS for joint radar parameter estimation and communication,” IEEE Trans. Wireless Commun., vol. 19, no. 9, pp. 5951–5965, Sept. 2020.
  24. L. Gaudio, M. Kobayashi, G. Caire, and G. Colavolpe, “Hybrid digitalanalog beamforming and MIMO radar with OTFS modulation,” 2020, arXiv:2009.08785.
  25. S. Li, W. Yuan, C. Liu, Z. Wei, J. Yuan, B. Bai, D. W. K. Ng, “A novel ISAC transmission framework based on spatially-spread orthogonal time frequency space modulation,” IEEE J. Sel. Areas Commun., vol. 40, no. 6, pp. 1854–1872, Jun. 2022.
  26. M. Keskin, C. Marcus, O. Eriksson, A. Alvarado, J. Widmer, and H. Wymeersch. “Integrated sensing and communications with MIMO-OTFS,” arXiv preprint arXiv:2306.06361, 2023.
  27. W. Yuan, Z. Wei, S. Li, J. Yuan, and D. W. K. Ng, “Integrated sensing and communication-assisted orthogonal time frequency space transmission for vehicular networks,” IEEE J Sel Top Signal Process, vol. 15, no. 6, pp. 1515–1528, Nov. 2021.
  28. V. S. Bhat, G. Harshavardhan, and A. Chockalingam, “Input-output relation and performance of RIS-aided OTFS with fractional Delay-Doppler,” IEEE Commun. Lett., vol. 27, no. 1, pp. 337–341, Jan. 2023.
  29. E. Basar, “Reconfigurable intelligent surfaces for Doppler effect and multipath fading mitigation,” 2019, arXiv:1912.04080. [Online]. Available: http://arxiv.org/abs/1912.04080.
  30. J. Francis and V. P. Reddy, “Delay-Doppler channel estimation in OTFS systems using DoA estimation techniques,” in Proc. IEEE VTC2022-Spring., Helsinki, Finland, Jun. 2022, pp. 1–5.
  31. K. Meng, Q. Wu, W. Chen and D. Li, “Sensing-assisted communication in vehicular networks with intelligent surface,” IEEE Trans. Veh. Technol., vol. 73, no. 1, pp. 876–893, Jan. 2024.
  32. M. Li, S. Zhang, Y. Ge, F. Gao, and P. Fan, “Joint channel estimation and data detection for hybrid RIS aided millimeter wave OTFS systems,” IEEE Trans. Commun., vol. 70, no. 10, pp. 6832–6848, Oct. 2022.
  33. M. Li, S. Zhang, Y. Ge, F. Gao, and P. Fan, “A novel transmission strategy for hybrid RIS aided millimeter wave OTFS systems,”in 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP), IEEE, 2022.
  34. X. Xu, L. Xiang, J. An, C. Dong, S. Sugiura, R. G. Maunder, L. Yang, and L. Hanzo, “OTFS-aided RIS-assisted SAGIN systems outperform their OFDM counterparts in doubly selective high-doppler scenarios,” IEEE Internet Things J., vol. 10, no. 1, pp. 682–703, Jan. 2023.
  35. A. Thomas, K. Deka, S. Sharma, and N. Rajamohan, “IRS-assisted OTFS system: Design and analysis,” IEEE Trans. Veh. Technol., vol. 72, no. 3, pp. 3345–3358, Mar. 2023.
  36. M. Li, S. Zhang, Y. Ge, Z. Li, F. Gao, and P. Fan, “STAR-RIS aided integrated sensing and communication over high mobility scenario,” IEEE Trans Commun., early access, Mar. 2024, doi: 10.1109/TCOMM.2024.3381725.
  37. A. S. Bora, K. T. Phan, and Y. Hong, “IRS-assisted high mobility communications using OTFS modulation,” IEEE Wireless Commun. Lett., vol. 12, no. 2, pp. 376–380, Feb. 2023.
  38. Z. Li, W. Yuan, B. Li, J. Wu, C. You, and F. Meng, “Reconfigurable-intelligent-surface-aided OTFS: Transmission scheme and channel estimation,”IEEE Internet Things J., vol. 10, no. 22, pp. 19518–19532, 15 Nov.15, 2023. SSS
  39. Z. Wei, W. Yuan, S. Li, J. Yuan, and D. W. K. Ng, “Off-grid channel estimation with sparse bayesian learning for OTFS systems,” IEEE Trans. Wireless Commun., vol. 21, no. 9, pp. 7407–7426, Sept. 2022.
  40. P. Wang, J. Fang, L. Dai, and H. Li, “Joint transceiver and large intelligent surface design for massive MIMO mmWave systems,” IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1052–1064, Feb. 2021.
  41. X. Meng, F. Liu, S. Lu, S. P. Chepuri, and C. Masouros, “RIS-assisted integrated sensing and communications: A subspace rotation approach,” in Proc. IEEE Radar Conf. (RadarConf23), San Antonio, TX, USA, 2023, pp. 1–6.
  42. F. Liu, Y. -F. Liu, A. Li, C. Masouros, and Y. C. Eldar, “Cramér-Rao bound optimization for joint radar-communication beamforming,” IEEE Trans. Sig. Process., vol. 70, pp. 240–253, Dec. 2021.
  43. K. Huang and N. D. Sidiropoulos, “Consensus-ADMM for general quadratically constrained quadratic programming,” IEEE Trans. Sig. Process., vol. 64, no. 20, pp. 5297–5310, Oct. 2016.
  44. A. Monk, R. Hadani, M. Tsatsanis, and S. Rakib, “OTFS - Orthogonal time frequency space: A novel modulation technique meeting 5G high mobility and massive MIMO challenges,” 2016. Available online: https://arxiv.org/abs/1608.02993
  45. H. Hashida, Y. Kawamoto, N. Kato, M. Iwabuchi, and T. Murakami, “Mobility-aware user association strategy for IRS-aided mm-Wave multibeam transmission towards 6G,” IEEE J. Sel. Areas Commun., vol. 40, no. 5, pp. 1667–1678, May. 2022.
  46. D. Jin, Y. Xiao, Y. Li, G. Shi, and D. Niyato, “Optimizing intelligent reflecting surface-base station association for mobile networks,” in Proc IEEE Int. Conf. Commun.(ICC), Montreal, Canada, 2021, pp. 1–6.
  47. H. Zhang and H. Wei “Analysis of intelligent reflecting surface-enhanced mobility through a line-of-sight state transition model”, 2403.07337v1, 2024. [Online]. Available: https://arxiv.org/html/2403.07337v1.
  48. Z. Huang, B. Zheng, and R. Zhang, “Transforming fading channel from fast to slow: IRS-assisted high-mobility communication,” in Proc IEEE Int. Conf. Commun.(ICC), Montreal, QC, Canada, 2021, pp. 1–6.
  49. G. Nemes, “Error bounds and exponential improvements for the asymptotic expansions of the gamma function and its reciprocal,” Proceedings of the Royal Society of Edinburgh Section A: Mathematics, vol. 145, no. 3, pp. 571–596, 2015.
  50. B. Ning, Z. Chen, W. Chen, and J. Fang, “Beamforming optimization for intelligent reflecting surface assisted MIMO: A sum-path-gain maximization approach,” IEEE Wireless Commun. Lett., vol. 9, no. 7, pp. 1105–1109, 2020.
  51. C. Sturm and W. Wiesbeck, “Waveform design and signal processing aspects for fusion of wireless communications and radar sensing,” Proceedings of the IEEE, vol. 99, no. 7, pp. 1236–1259, July 2011.
  52. Q. Tao, X. Hu, S. Zhang and C. Zhong, “Integrated sensing and communication for symbiotic radio systems in mobile scenarios,” IEEE Trans. Wireless Commun., early access, doi: 10.1109/TWC.2024.3379653.
  53. Q. Tao, T. Xie, X. Hu, S. Zhang and D. Ding, “Channel estimation and detection for intelligent reflecting surface-assisted orthogonal time frequency space systems,” IEEE Trans. Wireless Commun., early access, doi: 10.1109/TWC.2024.3349707.

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