Reference : Recursive UE Localization for a Multi-RIS-Assisted Wireless System in an Obstacle-Den...
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
Recursive UE Localization for a Multi-RIS-Assisted Wireless System in an Obstacle-Dense Environment
Zhao, Sibo mailto [Tongji University > College of Electronics and Information Engineering]
Liu, Yuan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Wu, Linlong mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Rodríguez-Piñeiro, José [Tongji University > College of Electronics and Information Engineering]
Yin, Xuefeng [Tongji University > College of Electronics and Information Engineering]
Hong, Jingxiang [Tongji Univeristy > College of Electronics and Information Engineering]
In press
[1] M. Z. Win, A. Conti, S. Mazuelas, Y. Shen, W. M. Gifford, D. Dardari, and M. Chiani, “Network localization and navigation via cooperation,” IEEE Communications Magazine, vol. 49, no. 5, pp. 56–62, 2011.
[2] Q. Wu and R. Zhang, “Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network,” IEEE Commu nications Magazine, vol. 58, no. 1, pp. 106–112, 2020.
[3] E. Basar, M. Di Renzo, J. De Rosny, M. Debbah, M.-S. Alouini, and R. Zhang, “Wireless Communications Through Reconfigurable Intelligent Surfaces,” IEEE Access, vol. 7, pp. 116 753–116 773, 2019.
[4] J. C. B. Garcia, A. Sibille, and M. Kamoun, “Reconfigurable Intelligent Surfaces: Bridging the Gap Between Scattering and Reflection,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 2538–2547, 2020.
[5] Q. Wu and R. Zhang, “Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming,” IEEE Transactions on Wireless Communications, vol. 18, no. 11, pp. 5394–5409, 2019.
[6] Y. Liu, E. Liu, R. Wang, and Y. Geng, “Reconfigurable intelligent surface aided wireless localization,” in ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1–6.
[7] Q. Cheng, L. Li, M.-M. Zhao, and M.-J. Zhao, “Cooperative localization for reconfigurable intelligent surface-aided mmwave systems,” in 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022, pp. 1051–1056.
[8] A. Elzanaty, A. Guerra, F. Guidi, and M.-S. Alouini, “Reconfigurable in telligent surfaces for localization: Position and orientation error bounds,” IEEE Transactions on Signal Processing, vol. 69, pp. 5386–5402, 2021.
[9] C. Gaudreau and A. Chaaban, “Localization by modulated reconfig urable intelligent surfaces,” IEEE Communications Letters, pp. 1–1, 2022.
[10] D. Dardari, N. Decarli, A. Guerra, and F. Guidi, “Localization in nlos conditions using large reconfigurable intelligent surfaces,” in 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021, pp. 551–555.
[11] T. Pedersen, G. Steinbock, and B. H. Fleury, “Modeling of Reverberant Radio Channels Using Propagation Graphs,” IEEE Transactions on Antennas and Propagation, vol. 60, no. 12, pp. 5978–5988, Dec 2012.
[12] L. Tian, V. Degli-Esposti, E. M. Vitucci, and X. Yin, “Semi-Deterministic Radio Channel Modeling Based on Graph Theory and Ray-Tracing,” IEEE Transactions on Antennas and Propagation, vol. 64,
no. 6, pp. 2475–2486, June 2016.
[13] M. I. Petkovic, A. M. Cvetkovic, G. T. Djordjevic, and G. K. Karagiannidis, “Partial relay selection with outdated channel state estimation in mixed rf/fso systems,” Journal of Lightwave Technology, vol. 33, no. 13, pp. 2860–2867, 2015.
17th European Conference on Antennas and Propagation, EuCAP 2023
from 26-03-2023 to 31-03-2023
European Association on Antennas and Propagation
[en] Obstacle-dense environment ; RIS ; Recursive Localization
[en] Accurate user equipment (UE) localization in an obstacle-dense environment is quite challenging due to the insufficiency of line-of-sight (LoS) links. However, the reconfigurable intelligent surface (RIS) has the potential for offering alternative RIS-assisted LoS links to refine the localization results. In this paper, a recursive localization scheme is proposed based on an iterative RIS selection strategy, with the help of prior knowledge of the propagation environment. And numerical results based on a geometry-based channel simulator in a typical composite urban environment exhibit the improvement of localization accuracy.
Ministry of Science and Technology (MOST) of China under grant QN2022133003L ; National Natural Science Foundation of China (NSFC) under grant 61971313 ; Luxembourg National Research Fund (FNR) through the BRIDGES project MASTERS under grant BRIDGES2020/IS/15407066.
Researchers ; Professionals ; Students ; General public ; Others

There is no file associated with this reference.

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.