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Joint Polarization and Spatial Modulation Using Reconfigurable Intelligent Surface
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9170-3240
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0413-4826
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8647-436X
2024 (English)In: 2024 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, 2024Conference paper, Published paper (Refereed)
Abstract [en]

We propose a joint polarization and spatial modulation (JPSM) scheme using reconfigurable intelligent surface (RIS). In this scheme, a RIS equipped with dual-polarized (DP) reflecting elements is used to assist the communication between a transmitter of a single polarized antenna and a receiver equipped with a uniform linear array of DP antennas, while additionally encoding the reflected waves on the RIS to perform JPSM scheme. The information data is encoded in terms of the receiver DP antenna index as well as the polarization state of the received signal. Furthermore, we develop exhaustive and heuristic RIS phase shift design solutions to enable the RIS-JPSM scheme. Moreover, both an optimum maximum likelihood and a low complexity greedy detectors are formulated. The proposed scheme enhances the data rate by operating higher-order polarization modulation in comparison to the conventional RIS-based spatial modulation scheme.

Place, publisher, year, edition, pages
IEEE, 2024.
Keywords [en]
polarization modulation, Reconfigurable intelligent surface, spatial modulation
National Category
Telecommunications Communication Systems Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-108636DOI: 10.1109/WCNC57260.2024.10570637ISI: 001268569300133Scopus ID: 2-s2.0-85198845448OAI: oai:DiVA.org:ltu-108636DiVA, id: diva2:1890595
Conference
25th IEEE Wireless Communications and Networking Conference (WCNC 2024), Dubai, United Arab Emirates, April 21-24, 2024
Note

ISBN for host publication: 979-8-3503-0358-2; 

Available from: 2024-08-20 Created: 2024-08-20 Last updated: 2024-11-20Bibliographically approved
In thesis
1. Reconfigurable Intelligent Surfaces and Polarization for Future Wireless Communication and Localization Systems
Open this publication in new window or tab >>Reconfigurable Intelligent Surfaces and Polarization for Future Wireless Communication and Localization Systems
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Reconfigurable intelligent surface (RIS) is considered as a promising technology for future wireless communication, localization and sensing systems. An RIS is a thin planar array that consists of multiple sub-wavelength-sized reflecting elements, each of which can induce independent and controllable interactions with the incident signal. An RIS can actively control the propagation channel, creating energy-efficient smart radio environments. Meanwhile, polarization is a fundamental property of electromagnetic (EM) waves; it refers to the orientation of the electric field component relative to the direction of propagation. The EM polarization provides additional degrees of freedom (DoF) to the wireless channel beyond the well-exploited time, frequency, and spatial dimensions.

In this thesis, we explore the RIS technology and EM polarization as two potential key enablers for future wireless communication and localization systems. First, we exploit the RIS technology to address a fundamental bottleneck for point-to-point multiple-input multiple-output (MIMO) communications in line-of-sight environments. Specifically, we deploy multiple RISs as controllable scatterers to create an artificial scattering environment, thereby providing additional spatial DoF and restoring the spatial multiplexing gain of MIMO systems.

Second, we present two studies that focus on the RIS operation regarding its efficient position of deployments and the channel state information acquisition. In the former study, we analyze the positional impact of the RIS on the achievable rate for single and multiple antenna systems. We consider not only the impact of propagation losses but also the impact of channel richness with multipath components to identify the efficient region of RIS deployments. In the latter study, we develop two distinct channel estimation schemes based on the superimposed pilot signals to reduce the significant pilot overhead required in RIS-aided wideband multi-user communications. Then, we incorporate iterative channel estimation and data detection techniques. Furthermore, we develop an RIS reflection design using an alternating optimization to maximize channel power.

Third, we unlock the RIS capability to control the polarization states of reflected signals by considering dual-polarized RIS. We utilize the RIS as an information modulator by performing three distinct polarization-based modulation schemes: binary polarization modulation, joint differential polarization and phase modulation, and joint polarization and spatial modulation. 

Finally, we study the potential benefits of integrating the polarization dimension into localization applications. We identify the DoF provided by polarization for localization. Subsequently, we leverage these DoF to introduce three distinct localization applications which enable three dimensional (3D) orientation estimation, 2D angle of departure estimation, and mixed 2D position and 1D orientation estimation for vehicular scenarios.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2024
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Wireless Communications, Signal Processing, Localization, Reconfigurable Intelligent Surfaces, Electromagnetic Polarization, MIMO, Polarization Modulation, Spatial Modulation, Differential Modulation, Channel Estimation, OFDM, massive MIMO, Positioning, 3D Orientation Estimation
National Category
Telecommunications Signal Processing
Research subject
Signal Processing
Identifiers
urn:nbn:se:ltu:diva-110068 (URN)978-91-8048-638-5 (ISBN)978-91-8048-639-2 (ISBN)
Public defence
2024-11-19, E632, Luleå University of Technology, Luleå, 09:00 (English)
Opponent
Supervisors
Available from: 2024-09-23 Created: 2024-09-23 Last updated: 2024-10-29Bibliographically approved

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Ibrahim, EmadNilsson, RickardVan De Beek, Jaap

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