IRS辅助的车联网相移设计和信道对齐策略

doi:10.12305/j.issn.1001-506X.2024.02.40

系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (2): 761-769.doi: 10.12305/j.issn.1001-506X.2024.02.40

• 通信与网络 • 上一篇

IRS辅助的车联网相移设计和信道对齐策略

王汝言¹^,²^,³, 王康¹^,²^,³, 崔亚平¹^,²^,³^,*, 何鹏¹^,²^,³, 吴大鹏¹^,²^,³

1. 重庆邮电大学通信与信息工程学院, 重庆 400065
2. 先进网络与智能互联技术重庆市高校重点实验室, 重庆 400065
3. 泛在感知与互联重庆市重点实验室, 重庆 400065

收稿日期:2022-12-27 出版日期:2024-01-25 发布日期:2024-02-06
通讯作者: 崔亚平
作者简介:王汝言(1969—), 男, 教授, 博士, 主要研究方向为泛在网络、物联网
王康(1996—), 男, 硕士研究生, 主要研究方向为车联网、智能反射面
崔亚平(1986—), 男, 副教授, 博士, 主要研究方向为车联网、智能反射面技术
何鹏(1990—), 男, 讲师, 博士, 主要研究方向为移动通信、物联网
吴大鹏(1979—), 男, 教授, 博士, 主要研究方向为泛在网络、车联网
基金资助:
国家自然科学基金(61901070);国家自然科学基金(61801065);国家自然科学基金(62271096);国家自然科学基金(61871062);国家自然科学基金(U20A20157);国家自然科学基金(62061007);重庆市教委科学技术研究项目(KJQN202000603);重庆市教委科学技术研究项目(KJQN201900611);重庆市自然科学基金(CSTB2022NSCQ-MSX0468);重庆市自然科学基金(cstc2020jcyjzdxmX0024);重庆市自然科学基金(cstc2021jcyjmsxmX0892);重庆市高校创新研究群体项目(CXQT20017);重庆市研究生科研创新项目(CYB22246);重邮信通青创团队支持计划(SCIE-QN-2022-04)

Phase shifts design and channel alignment strategy for IRS-aided vehicular networks

Ruyan WANG¹^,²^,³, Kang WANG¹^,²^,³, Yaping CUI¹^,²^,³^,*, Peng HE¹^,²^,³, Dapeng WU¹^,²^,³

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Advanced Network and Intelligent Connection Technology Key Laboratory of Chongqing Education Commission of China, Chongqing 400065, China
3. Chongqing Key Laboratory of Ubiquitous Sensing and Networking, Chongqing 400065, China

Received:2022-12-27 Online:2024-01-25 Published:2024-02-06
Contact: Yaping CUI

摘要/Abstract

摘要：

针对车联网中车辆的动态移动以及信号的随机散射所导致的信道快速变化问题, 研究了智能反射面(intelligent reflecting surface, IRS)辅助的车联网通信并提出了联合相移设计和信道对齐策略, 以削减车联网中多普勒频移的影响并提升通信性能。提出的策略由两个阶段构成。在第一阶段设计IRS的相移以改善级联信道的衰落状态，在策略的第二阶段进行修正函数的设计, 实现了直接信道和级联信道的信道对齐, 从而减少直接信道快衰落状态对通信性能的影响。通过联合相移设计和信道对齐策略中设计的反射相移以及修正函数, 实现了通信性能的提升。仿真结果表明, 所提策略相比于相移优化策略可以提升8.8%的频谱效率。

关键词: 车联网, 智能反射面, 衰落信道, 相移设计

Abstract:

To address the rapid change of the channel caused by the dynamic vehicle movement and the random scattering of the electromagnetic wave in vehicular networks. The joint phase shifts and channels alignment (PS-CA) strategy is proposed for intelligent reflecting surface (IRS) aided vehicular networks to mitigate the Doppler shift impact and enhance communication performance. The paper proposed the PS-CA strategy consists of two stages. Specifically, the phase shifts of IRS are designed to improve the fast fading state of the cascaded channel in the first stage, the second stage designs the correction function to reduce the impact of the fast fading direct channel by aligning the direct channel to the cascaded channel. Furthermore, the designed phase shifts are combined with the correction function to improve communication performance. Simulation results show that the proposed PS-CA strategy achieves higher spectral efficiency (SE) by 8.8% compared to the optimized phase shifts (OPS) strategy.

Key words: vehicular network, intelligent reflecting surface (IRS), fading channel, phase shifts design

中图分类号:

TN929.5

王汝言, 王康, 崔亚平, 何鹏, 吴大鹏. IRS辅助的车联网相移设计和信道对齐策略[J]. 系统工程与电子技术, 2024, 46(2): 761-769.

Ruyan WANG, Kang WANG, Yaping CUI, Peng HE, Dapeng WU. Phase shifts design and channel alignment strategy for IRS-aided vehicular networks[J]. Systems Engineering and Electronics, 2024, 46(2): 761-769.

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参考文献 32

1	TAN D K P, HE J, LI Y C. Integrated sensing and communication in 6G: motivations, use cases, requirements, challenges and future directions[C]//Proc. of the IEEE International Online Symposium on Joint Communications & Sensing, 2021.
2	VERMA S , KAUR S , KHAN M A , et al. Toward green communication in 6G-enabled massive internet of things[J]. IEEE Internet of Things Journal, 2021, 8 (7): 5408- 5415. doi: 10.1109/JIOT.2020.3038804
3	BOURDOUX A, BARRETO A N, LIEMPD B V, et. al. 6G white paper on localization and sensing[EB/OL]. [2022-11-27]. https://arxiv.org/abs/2006.01779.
4	TANG T , LI L , WU X Y . TSA-SCC: text semantic-aware screen content coding with ultra low bitrate[J]. IEEE Trans. on Image Processing, 2022, 31, 2463- 2477. doi: 10.1109/TIP.2022.3152003
5	ZHANG J Y , LIU H , WU Q , et al. RIS-aided next-generation high-speed train communications: challenges, solutions, and future directions[J]. IEEE Wireless Communications, 2021, 28 (6): 145- 151. doi: 10.1109/MWC.001.2100170
6	LIU Y W , LIU X , MU X D , et al. Reconfigurable intelligent surfaces: principles and opportunities[J]. IEEE Communications Surveys & Tutorials, 2021, 23 (3): 1546- 1577.
7	PAN C H , REN H , WANG K Z , et al. Reconfigurable intelligent surfaces for 6G systems: principles, applications, and research directions[J]. IEEE Communications Magazine, 2021, 59 (6): 14- 20. doi: 10.1109/MCOM.001.2001076
8	CUI T J , QI M Q , WAN X , et al. Coding metamaterials, digital metamaterials and programmable metamaterials[J]. Light: Science & Applications, 2014, 3, 27- 35.
9	李彬睿, 张忠培. 可重构智能面辅助的低精度量化大规模MIMO系统的信道估计[J]. 系统工程与电子技术, 2021, 43 (10): 2986- 2991. doi: 10.12305/j.issn.1001-506X.2021.10.34
	LI B R , ZHANG Z P . Channel estimation for reconfigurable intelligent surface assisted low-resolution quantized massive MIMO[J]. Systems Engineering and Electronics, 2021, 43 (10): 2986- 2991. doi: 10.12305/j.issn.1001-506X.2021.10.34
10	党建, 李业伟, 朱永东, 等. 可重构智能表面通信系统的渐进信道估计方法[J]. 系统工程与电子技术, 2022, 44 (3): 998- 1006. doi: 10.12305/j.issn.1001-506X.2022.03.32
	DANG J , LI Y W , ZHU Y D , et al. Progressive channel estimation method for RIS-assisted communication system[J]. Systems Engineering and Electronics, 2022, 44 (3): 998- 1006. doi: 10.12305/j.issn.1001-506X.2022.03.32
11	WU Q Q , ZHANG S W , ZHENG B X , et al. Intelligent reflecting surface-aided wireless communications: a tutorial[J]. IEEE Trans. on Communications, 2021, 69 (5): 3313- 3351. doi: 10.1109/TCOMM.2021.3051897
12	LIANG Y C , CHEN J , LONG R , et al. Reconfigurable intelligent surfaces for smart wireless environments: channel estimation system design and applications in 6G networks[J]. Science China Information Sciences, 2021, 64, 200301. doi: 10.1007/s11432-020-3261-5
13	ZHOU P , CHENG K J , HAN X , et al. IEEE 802.11ay-based mmwave WLANs: design challenges and solutions[J]. IEEE Communications Surveys & Tutorials, 2018, 20 (3): 1654- 1681.
14	WU Q Q , ZHANG R . Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network[J]. IEEE Communications Magazine, 2020, 58 (1): 106- 112. doi: 10.1109/MCOM.001.1900107
15	RENZO M D , ZAPPONE A , DEBBAH M , et al. Smart radio environments empowered by reconfigurable intelligent surfaces: how it works, state of research, and the road ahead[J]. IEEE Journal on Selected Areas in Communications, 2020, 38 (11): 2450- 2525. doi: 10.1109/JSAC.2020.3007211
16	许耀华, 王慧平, 王贵竹, 等. 基于图着色和三维匹配的车联网资源分配算法[J]. 系统工程与电子技术, 2023, 45 (3): 869- 875. doi: 10.12305/j.issn.1001-506X.2023.03.29
	XU Y H , WANG H P , WANG G Z , et al. Resource allocation algorithm for internet of vehicles based on graph coloring and three-dimensional matching[J]. Systems Engineering and Electronics, 2023, 45 (3): 869- 875. doi: 10.12305/j.issn.1001-506X.2023.03.29
17	MA Z F, AI B, HE R S, et al. Multipath fading channel modeling with aerial intelligent reflecting surface[C]//Proc. of the IEEE Global Communications Conference, 2021.
18	LIAN Z X , SU Y J , WANG Y J . A non-stationary 3D wideband channel model for intelligent reflecting surface-assisted HAP-MIMO communication systems[J]. IEEE Trans. on Vehicular Technology, 2022, 71 (2): 1109- 1123. doi: 10.1109/TVT.2021.3131765
19	WANG K, LAM C T, NG B K. Doppler effect mitigation using reconfigurable intelligent surfaces with hardware impairments[C]//Proc. of the IEEE Global Telecommunications Conference Workshops, 2021.
20	WANG K, LAM C T, NG B K. IRS-aided predictable high-mobility vehicular communication with Doppler effect mitigation[C]//Proc. of the IEEE 93rd Vehicular Technology Conference, 2021.
21	BASAR E. Reconfigurable intelligent surfaces for Doppler effect and multipath fading mitigation[EB/OL]. [2022-11-27]. https://arxiv.org/abs/1912.04080v1.
22	ZHOU R Y, CHEN X Y, TANG W K, et al. Modeling and measurements for multi-path mitigation with reconfigurable intelligent surfaces[C]//Proc. of the 16th European Conference on Antennas and Propagation, 2022.
23	WU G L , LI F , JIANG H L . Analysis of multipath fading and Doppler effect with multiple reconfigurable intelligent surfaces in mobile wireless networks[J]. Entropy, 2022, 24 (2): 281. doi: 10.3390/e24020281
24	WU W , WANG H , WANG W N , et al. Doppler mitigation method aided by reconfigurable intelligent surfaces for high-speed channels[J]. IEEE Wireless Communications Letters, 2022, 11 (3): 627- 631. doi: 10.1109/LWC.2021.3139043
25	HUANG Z X, ZHENG B X, ZHANG R. Transforming fading channel from fast to slow: IRS-assisted high-mobility communication[C]//Proc. of the IEEE International Conference on Communications, 2021.
26	XU W Y , AN J C , XU Y J , et al. Time-varying channel prediction for RIS-assisted MU-MISO networks via deep learning[J]. IEEE Trans. on Cognitive Communications and Networking, 2021, 8 (4): 1802- 1815.
27	ZHOU X M, YANG Z Y, ZHANG T Y, et al. Channel estimation and projection for RIS-assisted MIMO using zadoff-chu sequences[EB/OL]. [2022-11-27]. https://arxiv.org/abs/2202.10038.
28	BESSER K L , JORSWIECK E A . Reconfigurable intelligent surface phase hopping for ultra-reliable communications[J]. IEEE Trans. on Wireless Communications, 2022, 21 (11): 9082- 9095. doi: 10.1109/TWC.2022.3172760
29	KISHK M A , ALOUINI M S . Exploiting randomly located blockages for large-scale deployment of intelligent surfaces[J]. IEEE Journal on Selected Areas in Communications, 2021, 39 (4): 1043- 1056. doi: 10.1109/JSAC.2020.3018808
30	LYU J B , ZHANG R . Hybrid active/passive wireless network aided by intelligent reflecting surface: system modeling and performance analysis[J]. IEEE Trans. on Wireless Communications, 2021, 20 (11): 7196- 7212. doi: 10.1109/TWC.2021.3081447
31	AYACH O E , RAJAGOPAL S , ABU-SURRA S , et al. Spatially sparse precoding in millimeter wave MIMO systems[J]. IEEE Trans. on Wireless Communications, 2014, 13 (3): 1499- 1513. doi: 10.1109/TWC.2014.011714.130846
32	AL-TOUS H, TIRKKONEN O. Static reflecting surface based on population-level optimization[C]//Proc. of the IEEE Global Communications Conference, 2021.

参数	取值
载波频率/GHz	5.9
带宽/kHz	500
车辆速度/(km/h)	30
多普勒频移/Hz	800
子帧时长/ms	0.1
IRS的元件个数	100
噪声功率/dBm	-80
莱斯因子/dB	10
发送功率/dBm	15

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IRS辅助的车联网相移设计和信道对齐策略

Phase shifts design and channel alignment strategy for IRS-aided vehicular networks

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