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Advances in Reconfigurable Intelligent Surfaces and Smart Beamforming for Next-Generation Wireless Networks

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: 31 January 2026 | Viewed by 664

Special Issue Editor


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Guest Editor
1. Department of Computer Science and Engineering, University of Quebec in Outaouais (UQO), Gatineau, QC, Canada
2. Department of Electrical Engineering, Faculty of Engineering, Assiut University, Assiut, Egypt
Interests: reconfigurable intelligent surfaces; smart beamforming; mmWave and THz communications; wireless sensor networks; RF energy harvesting; electromagnetic propagation; antenna and microwave design; 6G networks

Special Issue Information

Dear Colleagues,

The integration of smart beamforming technologies and reconfigurable intelligent surfaces (RIS) is transforming the design of adaptive, energy-efficient, and high-performance wireless networks. This Special Issue seeks original research and comprehensive review articles on recent advancements in the theory, design, and application of beamforming and RIS technologies across various wireless communication systems, including wireless sensor networks, IoT platforms, UAV communications, and emerging 6G infrastructures.

We particularly encourage contributions addressing key challenges such as dynamic channel adaptation, low-power design strategies, machine learning-driven RIS control, secure communications, and hardware-oriented validations. Submissions presenting experimental results, hardware prototypes, or interdisciplinary applications (e.g., mmWave/THz communications, AI for wireless systems) are highly welcomed.

Dr. Mohamed Mamdouh Mahmoud Ali
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • reconfigurable intelligent surfaces (RIS)
  • smart beamforming
  • wireless networks
  • energy efficiency
  • dynamic channel adaptation
  • IoT
  • UAV communications
  • 6G
  • mmWave/THz communications
  • AI-driven wireless systems
  • wireless sensor networks

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Published Papers (1 paper)

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Research

14 pages, 579 KB  
Article
Robust Beamforming Design for Energy Efficiency and Spectral Efficiency Tradeoff in Multi-STAR-RIS-Aided C-HRSMA
by Shiming Teng, Xinwei Lin and Yafeng Wang
Sensors 2025, 25(22), 6917; https://doi.org/10.3390/s25226917 - 12 Nov 2025
Viewed by 306
Abstract
This paper investigates a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted cognitive hierarchical rate-splitting multiple access (C-HRSMA) system to enhance the system performance under imperfect channel state information (ICSI). By exploiting the natural user grouping afforded by the STAR-RIS and its distinct [...] Read more.
This paper investigates a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted cognitive hierarchical rate-splitting multiple access (C-HRSMA) system to enhance the system performance under imperfect channel state information (ICSI). By exploiting the natural user grouping afforded by the STAR-RIS and its distinct channel manipulation capabilities for the transmission and reflection users, we effectively mitigate inter-group common stream interference within C-HRSMA, consequently facilitating the achievement of higher spectral efficiency. Subsequently, the design is formulated as a non-convex optimization problem that incorporates the phase-shift matrix of STAR-RIS, the beamforming vector of the base station, and the common rate allocation vector. To address this non-convex problem, an alternating optimization (AO) technique is employed to decouple the primary problem and solve the subproblems using S-procedure and successive convex approximation (SCA). The simulation results validate that the proposed algorithm exhibits superior SE and EE performance against benchmark algorithms. Full article
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