Robust Power Allocation for Multi-LED Integrated Visible Light Positioning and Communication

YANG Ruixin; ZHANG Guanjie; MA Shuai; CHAI Jinjin; XU Gang; LI Shiyin

doi:10.11999/JEIT230406

Volume 46 Issue 4

Apr. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(4): 1186-1195

YANG Ruixin, ZHANG Guanjie, MA Shuai, CHAI Jinjin, XU Gang, LI Shiyin. Robust Power Allocation for Multi-LED Integrated Visible Light Positioning and Communication[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1186-1195. doi: 10.11999/JEIT230406

Citation:

YANG Ruixin, ZHANG Guanjie, MA Shuai, CHAI Jinjin, XU Gang, LI Shiyin. Robust Power Allocation for Multi-LED Integrated Visible Light Positioning and Communication[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1186-1195. doi: 10.11999/JEIT230406

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Robust Power Allocation for Multi-LED Integrated Visible Light Positioning and Communication

doi: 10.11999/JEIT230406

1.
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
2.
Peng Cheng Laboratory, Shenzhen 518055, China
3.
Air Defense and Anti-Missile School, Air Force Engineering University, Xi’an 710051, China
4.
State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210000, China

Funds: The National Natural Science Foundation of China (61771474), The Graduate Innovation Program of China University of Mining and Technology (2022WLKXJ016), The Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX22_2549)

Received Date: 2023-05-12
Rev Recd Date: 2023-07-05

Available Online: 2023-07-13

Publish Date: 2024-04-24

Abstract

Abstract

In order to integrate signals of the Visible Light Positioning (VLP) and Visible Light Communication (VLC), a Frequency Division Multiplexing (FDM) based signal structure and a robust power allocation scheme for the multi-LED integrated Visible Light Position and Communication (VLPC) system are proposed. Firstly, an FDM-based VLPC signal structure is designed to carry two signals simultaneously with independent spectrum resource allocation, which can reduce transmission delay and improve real-time positioning. Then, the channel estimation based on positioning results is investigated, and the coupling relationship and statistical feature between the channel estimation error and positioning error are revealed. Furthermore, a VLPC robust power allocation problem is proposed to minimize the Cramér-Rao Lower Bound(CRLB) of the VLP under the power constraints and outage chance constraint of the communication rate. This nonconvex problem is transformed into a series of iterative convex semidefinite programming subproblems through semidefinite relaxation, worst-case conditional value-at-risk, and successive convex approximation. Finally, from the simulation results, it is verified that the proposed scheme can simultaneously achieve robust communication and effective positioning. The robust achievable rate exceeds 350 Mbit/s, and the centimeter-level positioning can still be achieved when the minimum rate requirement is 200 Mbit/s, and the maximum tolerable outage probability is 0.01.
- Visible Light Positioning(VLP),
- Visible Light Communication(VLC),
- Robust power allocation

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References(36)

References

[1]	IMT-2030(6G)推进组. 6G典型场景和关键能力[R]. 2022. IMT-2030(6G) Promotion Group. 6G typical scenarios and key capabilities[R]. 2022.
[2]	SAAD W, BENNIS M, and CHEN Mingzhe. A vision of 6G wireless systems: Applications, trends, technologies, and open research problems[J]. IEEE Network, 2020, 34(3): 134–142. doi: 10.1109/MNET.001.1900287.
[3]	全球6G技术大会. 通感一体化系统架构与关键技术[R]. 2023. Global 6G Conference. System arrchitecture and key technologies of integrated sensing and communication[R]. 2023.
[4]	MATHEUS L E M, VIEIRA A B, VIEIRA L F M, et al. Visible light communication: Concepts, applications and challenges[J]. IEEE Communications Surveys &Tutorials, 2019, 21(4): 3204–3237. doi: 10.1109/COMST.2019.2913348.
[5]	MEMEDI A and DRESSLER F. Vehicular visible light communications: A survey[J]. IEEE Communications Surveys &Tutorials, 2021, 23(1): 161–181. doi: 10.1109/COMST.2020.3034224.
[6]	KOMINE T and NAKAGAWA M. Fundamental analysis for visible-light communication system using LED lights[J]. IEEE Transactions on Consumer Electronics, 2004, 50(1): 100–107. doi: 10.1109/TCE.2004.1277847.
[7]	LI Doupeng, GONG Chen, and XU Zhengyuan. A RSSI-based indoor visible light positioning approach[C]. 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, Prague, Czech Republic, 2016,
[8]	STEENDAM H, WANG T Q, and ARMSTRONG J. Theoretical lower bound for indoor visible light positioning using received signal strength measurements and an aperture-based receiver[J]. Journal of Lightwave Technology, 2017, 35(2): 309–319. doi: 10.1109/JLT.2016.2645603.
[9]	LIN Bangjiang, TANG Xuan, GHASSEMLOOY Z, et al. Experimental demonstration of an indoor VLC positioning system based on OFDMA[J]. IEEE Photonics Journal, 2017, 9(2): 7902209. doi: 10.1109/JPHOT.2017.2672038.
[10]	XU Yitong, WANG Zixiong, LIU Peixi, et al. Accuracy analysis and improvement of visible light positioning based on VLC system using orthogonal frequency division multiple access[J]. Optics Express, 2017, 25(26): 32618–32630. doi: 10.1364/OE.25.032618.
[11]	YANG Helin, CHEN Chen, ZHONG Wende, et al. Demonstration of a quasi-gapless integrated visible light communication and positioning system[J]. IEEE Photonics Technology Letters, 2018, 30(23): 2001–2004. doi: 10.1109/LPT.2018.2874311.
[12]	CHEN Danyang, FAN Kai, WANG Jianping, et al. Integrated visible light communication and positioning CDMA system employing modified ZCZ and Walsh code[J]. Optics Express, 2022, 30(22): 40455–40469. doi: 10.1364/OE.474687.
[13]	SHI Lina, BÉCHADERGUE B, CHASSAGNE L, et al. Joint visible light sensing and communication using m-CAP modulation[J]. IEEE Transactions on Broadcasting, 2023, 69(1): 276–288. doi: 10.1109/TBC.2022.3201649.
[14]	JIN Jianli, LU Huimin, WANG Jianping, et al. Adaptive feedback threshold based demodulation for mobile visible light communication and positioning integrated system[J]. Optics Express, 2022, 30(8): 13331–13344. doi: 10.1364/OE.456076.
[15]	YANG Helin, ZHONG Wende, CHEN Chen, et al. QoS-driven optimized design-based integrated visible light communication and positioning for indoor IoT networks[J]. IEEE Internet of Things Journal, 2020, 7(1): 269–283. doi: 10.1109/JIOT.2019.2951396.
[16]	YANG Helin, ZHONG Wende, CHEN Chen, et al. Coordinated resource allocation-based integrated visible light communication and positioning systems for indoor IoT[J]. IEEE Transactions on Wireless Communications, 2020, 19(7): 4671–4684. doi: 10.1109/TWC.2020.2986109.
[17]	YANG Helin, DU Pengfei, ZHONG Wende, et al. Reinforcement learning-based intelligent resource allocation for integrated VLCP systems[J]. IEEE Wireless Communications Letters, 2019, 8(4): 1204–1207. doi: 10.1109/LWC.2019.2911682.
[18]	马帅, 李兵, 盛海鸿, 等. 基于深度强化学习的可见光定位通信一体化功率分配研究[J]. 通信学报, 2022, 43(8): 121–130. doi: 10.11959/j.issn.1000-436x.2022163. MA Shuai, LI Bing, SHENG Haihong, et al. Research on power allocation of integrated VLPC based on deep reinforcement learning[J]. Journal on Communications, 2022, 43(8): 121–130. doi: 10.11959/j.issn.1000-436x.2022163.
[19]	MA Shuai, YANG Ruixin, LI Bing, et al. Optimal power allocation for integrated visible light positioning and communication system with a single LED-lamp[J]. IEEE Transactions on Communications, 2022, 70(10): 6734–6747. doi: 10.1109/TCOMM.2022.3204659.
[20]	KAHN J M and BARRY J R. Wireless infrared communications[J]. Proceedings of the IEEE, 1997, 85(2): 265–298. doi: 10.1109/5.554222.
[21]	FATH T and HAAS H. Performance comparison of MIMO techniques for optical wireless communications in indoor environments[J]. IEEE Transactions on Communications, 2013, 61(2): 733–742. doi: 10.1109/TCOMM.2012.120512.110578.
[22]	WANG T Q, SEKERCIOGLU Y A, and ARMSTRONG J. Analysis of an optical wireless receiver using a hemispherical lens with application in MIMO visible light communications[J]. Journal of Lightwave Technology, 2013, 31(11): 1744–1754. doi: 10.1109/JLT.2013.2257685.
[23]	马帅, 秦莉莉, 李兵, 等. 可见光与射频聚合系统稳健波束成形设计[J]. 电子与信息学报, 2022, 44(8): 2659–2665. doi: 10.11999/JEIT220142. MA Shuai, QIN Lili, LI Bing, et al. Robust beamforming design for aggregated visible light communication and radio frequency systems[J]. Journal of Electronics &Information Technology, 2022, 44(8): 2659–2665. doi: 10.11999/JEIT220142.
[24]	PLETS D, ERYILDIRIM A, BASTIAENS S, et al. A performance comparison of different cost functions for RSS-based visible light positioning under the presence of reflections[C]. The 4th ACM Workshop on Visible Light Communication Systems, Snowbird, USA, 2017.
[25]	CENGIZ K. Comprehensive analysis on least-squares lateration for indoor positioning systems[J]. IEEE Internet of Things Journal, 2021, 8(4): 2842–2856. doi: 10.1109/JIOT.2020.3020888.
[26]	KAY S M, 罗鹏飞, 张文明, 刘忠, 等译. 统计信号处理基础——估计与检测理论(卷Ⅰ、卷Ⅱ合集)[M]. 北京: 电子工业出版社, 2014: 22–27. KAY S M, LUO Pengfei, ZHANG Wenming, LIU Zhong, et al. translation. Fundamentals of Statistical Signal Processing, Volume Ⅰ: Estimation Theory, Volume Ⅱ: Detection Theory[M]. Beijing: Publishing House of Electronics Industry, 2014: 22–27.
[27]	WANG Tao, LEUS G, and HUANG Li. Ranging energy optimization for robust sensor positioning based on semidefinite programming[J]. IEEE Transactions on Signal Processing, 2009, 57(12): 4777–4787. doi: 10.1109/TSP.2009.2028211.
[28]	LOTTICI V, D'ANDREA A, and MENGALI U. Channel estimation for ultra-wideband communications[J]. IEEE Journal on Selected Areas in Communications, 2002, 20(9): 1638–1645. doi: 10.1109/JSAC.2002.805053.
[29]	KESKIN M F, SEZER A D, and GEZICI S. Optimal and robust power allocation for visible light positioning systems under illumination constraints[J]. IEEE Transactions on Communications, 2019, 67(1): 527–542. doi: 10.1109/TCOMM.2018.2866849.
[30]	ZYMLER S, KUHN D, and RUSTEM B. Distributionally robust joint chance constraints with second-order moment information[J]. Mathematical Programming, 2013, 137(1/2): 167–198. doi: 10.1007/s10107-011-0494-7.
[31]	ZHANG Yu, LI Bin, GAO Feifei, et al. A robust design for ultra reliable ambient backscatter communication systems[J]. IEEE Internet of Things Journal, 2019, 6(5): 8989–8999. doi: 10.1109/JIOT.2019.2925843.
[32]	LUO Zhiquan, MA W K, SO A M C, et al. Semidefinite relaxation of quadratic optimization problems[J]. IEEE Signal Processing Magazine, 2010, 27(3): 20–34. doi: 10.1109/MSP.2010.936019.
[33]	GRANT M and BOYD S. CVX: Matlab software for disciplined convex programming, version 2.2[EB/OL]. http://cvxr.com/cvx, 2020.
[34]	ZHOU Rui and PALOMAR D P. Solving high-order portfolios via successive convex approximation algorithms[J]. IEEE Transactions on Signal Processing, 2021, 69: 892–904. doi: 10.1109/TSP.2021.3051369.
[35]	JUNGNICKEL V, POHL V, NONNIG S, et al. A physical model of the wireless infrared communication channel[J]. IEEE Journal on Selected Areas in Communications, 2002, 20(3): 631–640. doi: 10.1109/49.995522.
[36]	MA Shuai, LI Hang, HE Yang, et al. Capacity bounds and interference management for interference channel in visible light communication networks[J]. IEEE Transactions on Wireless Communications, 2019, 18(1): 182–193. doi: 10.1109/TWC.2018.2878585.