Advances in Reconfigurable Intelligent Surfaces and Wireless Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 2811

Special Issue Editors


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Guest Editor
School of Information Science and Technology, Jinan University, Guangzhou 510632, China
Interests: intelligent Internet of Things; non-orthogonal multiple access; distributed computing; reconfigurable intelligent surfaces; massive MIMO

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Guest Editor
School of Information Science and Technology, Tibet University, Lhasa 850000, China
Interests: reconfigurable intelligent surfaces; non-orthogonal multiple access; distributed computing

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Guest Editor
Department of Electrical and Computer Engineering,Western University, London N6A 5B9, Canada
Interests: non-orthogonal multiple access (NOMA); reconfigurable intelligent surface (RIS); multi-access edge computing (MEC); edge AI and blockchain

Special Issue Information

Dear Colleagues,

The reconfigurable intelligent surface (RIS) has emerged as a promising new paradigm for sixth-generation (6G) communication. As a fundamental key technique with great potential, an RIS has the characteristics of low cost, low power consumption, and easy deployment. Integrating many low-cost, passive reflection elements in a plane and reconfiguring the wireless electromagnetic wave propagation environment intelligently greatly increases the design freedom of the communication system, significantly improving the performance of the wireless communication network. Specifically, an RIS can adjust the reflection direction of the incident signal by controlling the amplitude/phase of the reflection unit to provide a new mechanism for beamforming, interference elimination, signal spatial freedom, etc. It will be able to support green communication and enable an intelligent wireless environment. RISs will have the opportunity to enhance future communication networks, but there are still several challenges that need to be addressed before they can be widely adopted, including channel estimation, resource optimization, signal detection, etc.

Therefore, we are soliciting state-of-the-art research contributions that present innovative solutions for RISs. The research is expected to draw on various methods and techniques, including wireless multi-access communications, machine learning, and computing. This Special Issue aims to disseminate the latest theoretical and experimental works of RISs for 6G wireless networks. Topics of interest include, but are not limited to:

  • Performance analysis of RIS communication networks;
  • Channel modeling and channel estimation for RIS communication networks;
  • Joint design of integrated sensing and communication based on RIS technologies;
  • RIS-assisted dense heterogeneous networks;
  • RIS-assisted relay communication networks;
  • RIS selection and resource allocation;
  • RIS technologies for edge green communication;
  • RIS communication based on energy harvesting;
  • Interference management for RIS communication networks;
  • Wireless artificial intelligence (AI) communication based on RIS technologies;
  • Full-duplex RIS communication networks;
  • Wireless multi-access communications with RIS technologies;
  • System architecture and verification platform for RIS communication networks.

Dr. Donghong Cai
Prof. Dr. Zhicheng Dong
Dr. Fang Fang
Guest Editors

Manuscript Submission Information

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Keywords

  • reconfigurable intelligent surfaces (RISs)
  • green communication
  • non-orthogonal multiple access
  • edge AI

Published Papers (3 papers)

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Research

17 pages, 560 KiB  
Article
Two-Timescale Design for RIS-Aided Multicell MIMO Systems with Transceiver Hardware Impairments
by Shilong Zhang, Weiran Guo, Jianxin Dai and Feng Zhu
Electronics 2024, 13(4), 704; https://doi.org/10.3390/electronics13040704 - 09 Feb 2024
Viewed by 484
Abstract
This paper investigates the reconfigurable intelligent surface (RIS)-aided uplink multicell massive multiple-input multiple-output (mMIMO) communication system with transceiver hardware impairments (THWIs), and the practical and feasible two-timescale scheme is used to design the phase shifts of the RIS. We consider the Rician channel [...] Read more.
This paper investigates the reconfigurable intelligent surface (RIS)-aided uplink multicell massive multiple-input multiple-output (mMIMO) communication system with transceiver hardware impairments (THWIs), and the practical and feasible two-timescale scheme is used to design the phase shifts of the RIS. We consider the Rician channel model and use maximal-ratio combining (MRC) technology to process the received signal at the base stations (BS). The expression of the uplink achievable rate is derived and analyzed. Moreover, the genetic algorithm (GA) is used to optimize the phase shifts of the RIS to maximize the data rate. Finally, the accuracy of the derived results is verified. The simulation results show that appropriately increasing the number of RIS reflecting elements can compensate for the performance loss caused by inter-cell interference and THWIs and reduce the demand for BS antennas, which can significantly reduce the hardware costs at the BS. Full article
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17 pages, 1127 KiB  
Article
Interference Avoidance through Periodic UAV Scheduling in RIS-Aided UAV Cluster Communications
by Enzhi Zhou, Ziyue Liu, Ping Lan, Wei Xiao, Wei Yang and Xianhua Niu
Electronics 2023, 12(21), 4539; https://doi.org/10.3390/electronics12214539 - 04 Nov 2023
Viewed by 828
Abstract
This article investigates the transmission of downlink control signals for multiple unmanned aerial vehicle (UAV) clusters in collaborative search and rescue operations in mountainous environments. In this scenario, a reconfigurable intelligent surface (RIS) mounted on the UAV is utilized to overcome obstacles between [...] Read more.
This article investigates the transmission of downlink control signals for multiple unmanned aerial vehicle (UAV) clusters in collaborative search and rescue operations in mountainous environments. In this scenario, a reconfigurable intelligent surface (RIS) mounted on the UAV is utilized to overcome obstacles between the ground base station (BS) and UAVs. By leveraging the fixed channel of the RIS to the BS, the line-of-sight (LoS) path characteristics of the air-to-air channel, and the position information of the UAV, the RIS forms a directional beam by adjusting the RIS coefficient, which points towards UAVs in the cluster. To ensure low delay in control signaling and UAV state transmission, we adopt semi-persistent scheduling (SPS), which allocates pre-specified periodic intervals to each UAV for the formation of corresponding RIS coefficients. The allocation of time slots is constrained by the transmission intervals required by different UAVs and the number of RISs available. We propose a time slot scheduling scheme for UAVs to reduce inter-cluster interference caused by RIS beams. The time slot allocation problem is formulated as a combinatorial optimization problem. To solve this problem, we first propose an intuitive greedy scheme called local interference minimization (LIM). Building upon the LIM scheme, we propose a rollout-based algorithm called rollout interference minimization (RIM). Through simulation, we compare the LIM and RIM schemes with the benchmark scheduling scheme. The results demonstrate that our proposed scheme significantly reduces interference between UAV clusters while satisfying the conditions of periodic transmission and RIS quantity constraints. Full article
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17 pages, 620 KiB  
Article
Performance and Capacity Optimization for High Speed Railway Communications Using UAV-IRS Assisted Massive MIMO System
by Ziyue Liu, Mingxi Yang, Jingjing Cui, Yue Xiao and Xuejun Zhang
Electronics 2023, 12(11), 2547; https://doi.org/10.3390/electronics12112547 - 05 Jun 2023
Cited by 2 | Viewed by 1091
Abstract
In this paper, we study the communication performance of applying unmanned aerial vehicles (UAVs) combined with intelligent reflective surfaces (IRS) in a high speed railway (HSR) scenario. This study investigates the design and performance of (multiple-input-multiple-output) MIMO systems with UAV and IRS assistance [...] Read more.
In this paper, we study the communication performance of applying unmanned aerial vehicles (UAVs) combined with intelligent reflective surfaces (IRS) in a high speed railway (HSR) scenario. This study investigates the design and performance of (multiple-input-multiple-output) MIMO systems with UAV and IRS assistance technology in high-mobility scenarios. Direct links between base stations (BS) and trains are often obstructed in suburban environments, especially in mountainous areas. We mount the IRS on the UAVs so that it can assist in the communication between the trains and the BS. With the help of the UAV-IRS, straight-line links can be established effectively, which greatly improves communication for train passengers. This paper considers the employment of large-scale antenna arrays at both the BS and train ends. Train passengers communicate with UAVs via antennas assembled on the roof of the train as gateways, which in turn communicate with the BS. We consider two types of antenna layouts on the train: all antennas are located in the center of the train named Co-located antennas (CA) layout and uniformly distributed along the train called distributed antennas (DA) layout. We can obtain the analytical up-link capacity by averaging over all locations in a cell for the above two layouts by considering the radio frequency consumption. Overall, the CA layout is found to be a better option for trains when attempting to maximize cell mean value of capacity, and DA layout achieves a more uniformly distribution of capacity over the entire cell. Ultimately, the best solution will depend on the specific requirements and constraints of the selected deployment scenario. Full article
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