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

Abstract

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

CLC Number:

TN929.5

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.

Figures/Tables 11

Fig.1

Fig.2

Table 1

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

References 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

[1]	Xiaoyan NING, Ying WANG, Zhiguo SUN, Hailing LUO. Performance analysis of Nakagami-m channel transmission Link16 under multi-tone interference [J]. Systems Engineering and Electronics, 2023, 45(2): 566-571.
[2]	Lin SUN, Zhongyang MAO, Jiafang KANG, Lei ZHANG. Energy efficiency maximization-based spectrum allocation algorithm for maritime relay communication system [J]. Systems Engineering and Electronics, 2022, 44(8): 2661-2667.
[3]	Shihan TAN, Fenglin JIN, Congying DUN. Task assignment strategy for space-air-ground integrated vehicular networks oriented to user demand [J]. Systems Engineering and Electronics, 2022, 44(5): 1717-1727.
[4]	Dan WANG, Jinzhi LIU, Zhiqiang MEI, Jiamin LIANG. Channel capacity optimization based on IRS-aided multi-user communication system [J]. Systems Engineering and Electronics, 2022, 44(12): 3871-3879.
[5]	Xiaorong JING, Zhenyuan SONG, Yue LUO, Yudan MA. Design of physical layer safety scheme aided with IRS and artificial noise for MIMO communication systems [J]. Systems Engineering and Electronics, 2022, 44(10): 3266-3274.
[6]	Lifang HE, Xueshuang WU, Peng ZHANG, Jun CHEN. Improved quadrature multicarrier noise reduction differential chaos shift keying communication system [J]. Systems Engineering and Electronics, 2021, 43(10): 3008-3016.
[7]	ZHANG Gang, WANG Chuangang, ZHANG Tianqi. Performance analyze for MU-DCSK system based on orthogonal chaotic carrier [J]. Systems Engineering and Electronics, 2017, 39(2): 431-436.
[8]	ZHANG Tianqi, YANG Kai, ZHAO Liang, SONG Yulong. Blind estimation of spread spectrum sequence period for MC-CDMA signals in multipath fading channels#br# [J]. Systems Engineering and Electronics, 2017, 39(12): 2803-2809.
[9]	FU Jun-qiang, LI Rong, ZHAO Cheng-lin, LI Bin. Sequential Bayesian inference based adaptive modulation recognition algorithm [J]. Systems Engineering and Electronics, 2015, 37(12): 2860-2864.
[10]	WU Zhan-ji，YANG Fan，YU Le. Performance analysis of BICM-ID based multiple access relay cooperative systems [J]. Systems Engineering and Electronics, 2014, 36(5): 973-978.
[11]	YU Huo-gen, ZHU Li-dong. New model for frequency hopping wideband Rayleigh fading channels [J]. Journal of Systems Engineering and Electronics, 2009, 31(6): 1295-1298.
[12]	LIU Hui, ZHANG Fu-chun, HUANG Guo-hua. Novel blind multiuser detector based on subspace in MC-CDMA [J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1040-1042.
[13]	WANG Yong, LIAO Gui-sheng, WANG Xi-yuan. Study on OSTBC detector based on multi-received antennas under time-varying channels [J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1007-1010.

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

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 32

Related Articles 13

Recommended Articles

Metrics

Comments