Performance and Optimal Placement Analysis of Intelligent Reflecting Surface-assisted Wireless Networks

SHU Feng; LAI Sihao; LIU Chuan; GAO Wei; DONG Rongen; WANG Yan

doi:10.11999/JEIT240488

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SHU Feng, LAI Sihao, LIU Chuan, GAO Wei, DONG Rongen, WANG Yan. Performance and Optimal Placement Analysis of Intelligent Reflecting Surface-assisted Wireless Networks[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240488

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SHU Feng, LAI Sihao, LIU Chuan, GAO Wei, DONG Rongen, WANG Yan. Performance and Optimal Placement Analysis of Intelligent Reflecting Surface-assisted Wireless Networks[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240488

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Performance and Optimal Placement Analysis of Intelligent Reflecting Surface-assisted Wireless Networks

doi: 10.11999/JEIT240488

SHU Feng^{1, 2},
LAI Sihao¹,
LIU Chuan³,
GAO Wei¹,
DONG Rongen^{1
,
,},
WANG Yan¹

1.
School of Information and Communication Engineering, Hainan University, Haikou 570228, China
2.
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
3.
State Grid Smart Grid Research Institute Co., Ltd., Beijing 102209, China

Funds: The National Key Research and Development Program of China (2023YFF0612900), The National Natural Science Foundation of China (U22A2002, 62071234), Hainan Province Science and Technology Special Fund (ZDKJ2021022), The Scientific Research Fund Project of Hainan University(KYQD(ZR)-21008), The Collaborative Innovation Center of Information Technology, Hainan University (XTCX2022XXC07)

Received Date: 2024-06-16
Rev Recd Date: 2024-09-24

Available Online: 2024-09-28

Abstract

Abstract

When the locations of the Base Station (BS) and user are fixed and the sum of the distances from BS to the Intelligent Reflecting Surface (IRS) and from the IRS to the user is given, the optimal placement of passive and active IRSs based on the maximizing achievable rate criterion under line-of-sight and Rayleigh channels are analyzed in this paper. First, the phase alignment and the law of large numbers are employed to derive the close-form expressions of the achievable rates of passive and active IRS-assisted wireless networks. Then, the effects of the path loss exponent ${\beta _1}$ from the BS to IRS and the path loss exponent ${\beta _2}$ from the IRS to user on the optimal placement location of the IRS are analyzed. That is, when ${\beta _1} \gt {\beta _2}$, the optimal placement location of passive IRS is always close to the BS, and with the difference between ${\beta _1}$ and ${\beta _2}$ gradually increasing, the optimal placement location of active IRS is gradually close to the BS. The contrary conclusions are obtained when${\beta _1} < {\beta _2}$. Simulation results show that the achievable rate is worst when ${\beta _1} = {\beta _2}$ and the passive IRS is located at equal distances to the BS and user. When fixing the noise power at active IRS and increasing the noise power at user, the optimal placement location of active IRS is always close to the user. When fixing the latter and increasing the former, the optimal placement location of active IRS is gradually closer to the BS.
- Intelligent Reflecting Surface (IRS),
- Law of large numbers,
- Optimal placement of IRS,
- Achievable rate

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References(22)

References

[1]	WU Qingqing and ZHANG Rui. 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.
[2]	朱秋明, 倪浩然, 华博宇, 等. 无人机毫米波信道测量与建模研究综述[J]. 移动通信, 2022, 46(12): 2–11. doi: 10.3969/j.issn.1006-1010.20221114-0001. ZHU Qiuming, NI Haoran, HUA Boyu, et al. A survey of UAV millimeter-wave channel measurement and modeling[J]. Mobile Communications, 2022, 46(12): 2–11. doi: 10.3969/j.issn.1006-1010.20221114-0001.
[3]	ZHENG Beixiong, YOU Changsheng, MEI Weidong, et al. A survey on channel estimation and practical passive beamforming design for intelligent reflecting surface aided wireless communications[J]. IEEE Communications Surveys & Tutorials, 2022, 24(2): 1035–1071. doi: 10.1109/COMST.2022.3155305.
[4]	WANG Xuehui, SHU Feng, SHI Weiping, et al. Beamforming design for IRS-aided decode-and-forward relay wireless network[J]. IEEE Transactions on Green Communications and Networking, 2022, 6(1): 198–207. doi: 10.1109/TGCN.2022.3145031.
[5]	张在琛, 江浩. 智能超表面使能无人机高能效通信信道建模与传输机理分析[J]. 电子学报, 2023, 51(10): 2623–2634. doi: 10.12263/DZXB.20221352. ZHANG Zaichen and JIANG Hao. Channel modeling and characteristics analysis for high energy-efficient RIS-assisted UAV communications[J]. Acta Electronica Sinica, 2023, 51(10): 2623–2634. doi: 10.12263/DZXB.20221352.
[6]	DONG Limeng and WANG Huiming. Enhancing secure MIMO transmission via intelligent reflecting surface[J]. IEEE Transactions on Wireless Communications, 2020, 19(11): 7543–7556. doi: 10.1109/TWC.2020.3012721.
[7]	ZHENG Beixiong and ZHANG Rui. Simultaneous transmit diversity and passive beamforming with large-scale intelligent reflecting surface[J]. IEEE Transactions on Wireless Communications, 2023, 22(2): 920–933. doi: 10.1109/TWC.2022.3199426.
[8]	YU Xianghao, JAMALI V, XU Dongfang, et al. Smart and reconfigurable wireless communications: From IRS modeling to algorithm design[J]. IEEE Wireless Communications, 2021, 28(6): 118–125. doi: 10.1109/MWC.001.2100145.
[9]	WEI Wenjing, PANG Xiaowei, TANG Jie, et al. Secure transmission design for aerial IRS assisted wireless networks[J]. IEEE Transactions on Communications, 2023, 71(6): 3528–3540. doi: 10.1109/TCOMM.2023.3257387.
[10]	PAPAZAFEIROPOULOS A, PAN Cunhua, ELBIR E, et al. Coverage probability of distributed IRS systems under spatially correlated channels[J]. IEEE Wireless Communications Letters, 2021, 10(8): 1722–1726. doi: 10.1109/LWC.2021.3077991.
[11]	ZENG Piao, QIAO Deli, WU Qingqing, et al. Throughput maximization for active intelligent reflecting surface-aided wireless powered communications[J]. IEEE Wireless Communications Letters, 2022, 11(5): 992–996. doi: 10.1109/LWC.2022.3152563.
[12]	MIAO Jiansong, LI Tongjie, BAI Shanling, et al. Secrecy capacity enhancement in active IRS-assisted UAV communication system[J]. Sensors, 2023, 23(9): 4377. doi: 10.3390/s23094377.
[13]	LI Yunli, YOU Changsheng, and CHUN Y J. Active-IRS aided wireless network: System modeling and performance analysis[J]. IEEE Communications Letters, 2023, 27(2): 487–491. doi: 10.1109/LCOMM.2022.3221116.
[14]	GE Yimeng, FAN Jiancun, LI G Y, et al. Intelligent reflecting surface-enhanced UAV communications: Advances, challenges, and prospects[J]. IEEE Wireless Communications, 2023, 30(6): 119–126. doi: 10.1109/MWC.008.2200124.
[15]	SHI Weiping, WU Qingqing, WU Di, et al. Joint transmit and reflective beamforming design for active IRS-aided SWIPT systems[J]. Chinese Journal of Electronics, 2024, 33(2): 536–548. doi: 10.23919/cje.2022.00.287.
[16]	LONG Ruizhe, LIANG Yingchang, PEI Yiyang, et al. Active reconfigurable intelligent surface-aided wireless communications[J]. IEEE Transactions on Wireless Communications, 2021, 20(8): 4962–4975. doi: 10.1109/TWC.2021.3064024.
[17]	DI RENZO M, NTONTIN K, SONG Jian, et al. Reconfigurable intelligent surfaces vs. relaying: Differences, similarities, and performance comparison[J]. IEEE Open Journal of the Communications Society, 2020, 1: 798–807. doi: 10.1109/OJCOMS.2020.3002955.
[18]	YANG Liang, YANG Yin, HASNA M O, et al. Coverage, probability of SNR gain, and DOR analysis of RIS-aided communication systems[J]. IEEE Wireless Communications Letters, 2020, 9(8): 1268–1272. doi: 10.1109/LWC.2020.2987798.
[19]	DONG Rongen, TENG Yin, SUN Zhongwen, et al. Performance analysis of wireless network aided by discrete-phase-shifter IRS[J]. Journal of Communications and Networks, 2022, 24(5): 603–612. doi: 10.23919/JCN.2022.000029.
[20]	KANG Zhenyu, YOU Changsheng, and ZHANG Rui. IRS-aided wireless relaying: Deployment strategy and capacity scaling[J]. IEEE Wireless Communications Letters, 2022, 11(2): 215–219. doi: 10.1109/LWC.2021.3123075.
[21]	YOU Changsheng and ZHANG Rui. Wireless communication aided by intelligent reflecting surface: Active or passive?[J]. IEEE Wireless Communications Letters, 2021, 10(12): 2659–2663. doi: 10.1109/LWC.2021.3111044.
[22]	WASSERMAN L. All of Statistics: A Concise Course in Statistical Inference[M]. New York: Springer-Verlag, 2004.