Near-far Field Hybrid Channel Model Based on Massive Reconfigurable Intelligent Surface

LUO Wenyu; MA Yile; SHAO Xia; XU Li; NAN Xixi

doi:10.11999/JEIT220663

Volume 44 Issue 11

Nov. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(11): 3866-3873

LUO Wenyu, MA Yile, SHAO Xia, XU Li, NAN Xixi. Near-far Field Hybrid Channel Model Based on Massive Reconfigurable Intelligent Surface[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3866-3873. doi: 10.11999/JEIT220663

Citation:

LUO Wenyu, MA Yile, SHAO Xia, XU Li, NAN Xixi. Near-far Field Hybrid Channel Model Based on Massive Reconfigurable Intelligent Surface[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3866-3873. doi: 10.11999/JEIT220663

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Near-far Field Hybrid Channel Model Based on Massive Reconfigurable Intelligent Surface

doi: 10.11999/JEIT220663

North China University of Water Resources and Electric Power, Zhengzhou 450046, China

Funds: The National Natural Science Foundation of China (U1804148)

Received Date: 2022-05-23
Rev Recd Date: 2022-08-27

Available Online: 2022-09-05

Publish Date: 2022-11-14

Abstract

Abstract

Recently, Reconfigurable Intelligent Surface (RIS) has attracted a lot of attention from both academia and industry as a new revolutionary technology. With the increase of communication frequency and the RIS elements, the operating conditions of RIS-assisted wireless communication are gradually approaching the near field radiation pattern of antennas, not just the existence of far field radiation in the traditional sense. Considering either far field or near field, the transmission characteristics of RIS-assisted wireless communication can not be portrayed accurately by the channel model, which results in a loss in performance. In order to solve the problem, a hybrid near-far field channel model is established for massive RIS-assisted communication in this paper by introducing a weighting factor. The gain, the loss and the robustness analysis of the hybrid system are derived in this paper. It is indicated that the hybrid model brings significant improvement in the gain of system and the robustness of model according to the simulation results.
- Reconfigurable Intelligent Surface (RIS),
- Near field,
- Far field,
- Hybrid channel model

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References(20)

References

[1]	BJORNSON E, VAN DER PERRE L, BUZZI S, et al. Massive MIMO in Sub-6 GHz and mmWave: Physical, practical, and use-case differences[J]. IEEE Wireless Communications, 2019, 26(2): 100–108. doi: 10.1109/MWC.2018.1800140
[2]	NEMATI M, MAHAM B, POKHREL S R, et al. Modeling RIS empowered outdoor-to-indoor communication in mmWave cellular networks[J]. IEEE Transactions on Communications, 2021, 69(11): 7837–7850. doi: 10.1109/TCOMM.2021.3104878
[3]	TANG Wankai, DAI Junyan, CHEN Mingzheng, et al. MIMO transmission through reconfigurable intelligent surface: System design, analysis, and implementation[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(11): 2683–2699. doi: 10.1109/JSAC.2020.3007055
[4]	YING Keke, GAO Zhen, LYU Shanxiang, et al. GMD-based hybrid beamforming for large reconfigurable intelligent surface assisted millimeter-wave massive MIMO[J]. IEEE Access, 2020, 8: 19530–19539. doi: 10.1109/ACCESS.2020.2968456
[5]	YAN Wenjing, YUAN Xiaojun, HE Zhenqing, et al. Passive beamforming and information transfer design for reconfigurable intelligent surfaces aided multiuser MIMO systems[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(8): 1793–1808. doi: 10.1109/JSAC.2020.3000811
[6]	BJÖRNSON E, DEMIR Ö T, and SANGUINETTI L. A primer on near-field beamforming for arrays and reconfigurable intelligent surfaces[C]. 2021 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, USA, 2021: 105–112.
[7]	BJÖRNSON E and SANGUINETTI L. Power scaling laws and near-field behaviors of massive MIMO and intelligent reflecting surfaces[J]. IEEE Open Journal of the Communications Society, 2020, 1: 1306–1324. doi: 10.1109/OJCOMS.2020.3020925
[8]	TANG Wankai, CHEN Mingzheng, CHEN Xiangyu, et al. Wireless communications with reconfigurable intelligent surface: Path loss modeling and experimental measurement[J]. IEEE Transactions on Wireless Communications, 2021, 20(1): 421–439. doi: 10.1109/TWC.2020.3024887
[9]	CHEN Yuhang, YAN Longfei, and HAN Chong. Hybrid spherical- and planar-wave modeling and DCNN-powered estimation of terahertz ultra-massive MIMO channels[J]. IEEE Transactions on Communications, 2021, 69(10): 7063–7076. doi: 10.1109/TCOMM.2021.3098696
[10]	WEI Xiuhong, DAI Linglong, ZHAO Yajun, et al. Codebook design and beam training for extremely large-scale RIS: Far-field or near-field?[J]. China Communications, 2022, 19(6): 193–204. doi: 10.23919/JCC.2022.06.015
[11]	HAN Yu, JIN Shi, WEN Chaokai, et al. Channel estimation for extremely large-scale massive MIMO systems[J]. IEEE Wireless Communications Letters, 2020, 9(5): 633–637. doi: 10.1109/LWC.2019.2963877
[12]	CUI Mingyao and DAI Linglong. Channel estimation for extremely large-scale MIMO: Far-field or near-field?[J]. IEEE Transactions on Communications, 2022, 70(4): 2663–2677. doi: 10.1109/TCOMM.2022.3146400
[13]	WEI Xiuhong and DAI Linglong. Channel estimation for extremely large-scale massive MIMO: Far-field, near-field, or hybrid-field?[J]. IEEE Communications Letters, 2022, 26(1): 177–181. doi: 10.1109/LCOMM.2021.3124927
[14]	JIANG Yuhua, GAO Feifei, JIAN Mengnan, et al. Reconfigurable intelligent surface for near field communications: Beamforming and sensing[EB/OL]. https://doi.org/10.48550/arXiv.2204.10114, 2022.
[15]	GUERRA A, GUIDI F, DARDARI D, et al. Near-field tracking with large antenna arrays: Fundamental limits and practical algorithms[J]. IEEE Transactions on Signal Processing, 2021, 69: 5723–5738. doi: 10.1109/TSP.2021.3101696
[16]	ABU-SHABAN Z, KEYKHOSRAVI K, KESKIN M F, et al. Near-field localization with a reconfigurable intelligent surface acting as lens[C]. ICC 2021-IEEE International Conference on Communications, Montreal, Canada, 2021.
[17]	SHERMAN J. Properties of focused apertures in the Fresnel region[J]. IRE Transactions on Antennas and Propagation, 1962, 10(4): 399–408. doi: 10.1109/TAP.1962.1137900
[18]	BEN CHEIKH D, KELIF J M, COUPECHOUX M, et al. SIR distribution analysis in cellular networks considering the joint impact of path-loss, shadowing and fast fading[J]. EURASIP Journal on Wireless Communications and Networking, 2011, 2011: 137. doi: 10.1186/1687-1499-2011-137
[19]	LI Sai, YANG Linag, DA COSTA D B, et al. On the performance of RIS-assisted dual-hop mixed RF-UWOC systems[J]. IEEE Transactions on Cognitive Communications and Networking, 2021, 7(2): 340–353. doi: 10.1109/TCCN.2021.3058670
[20]	ANSARI I S, AL-AHMADI S, YILMAZ F, et al. A new formula for the BER of binary modulations with dual-branch selection over generalized-K composite fading channels[J]. IEEE Transactions on Communications, 2011, 59(10): 2654–2658. doi: 10.1109/TCOMM.2011.063011.100303A