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)

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