RISs and Sidelink Communications in Smart Cities: The Key to Seamless Localization and Sensing
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Abstract (arXiv)
A smart city involves, among other elements, intelligent transportation, crowd monitoring, and digital twins, each of which requires information exchange via wireless communication links and localization of connected devices and passive objects (including people). Although localization and sensing (L&S) are envisioned as core functions of future communication systems, they have inherently different demands in terms of infrastructure compared to communications. Wireless communications generally requires a connection to only a single access point (AP), while L&S demand simultaneous line-of-sight propagation paths to several APs, which serve as location and orientation anchors. Hence, a smart city deployment optimized for communication will be insufficient to meet stringent L&S requirements. In this article, we argue that the emerging technologies of reconfigurable intelligent surfaces (RISs) and sidelink communications constitute the key to providing ubiquitous coverage for L&S in smart cities with low-cost and energy-efficient technical solutions. To this end, we propose and evaluate AP-coordinated and self-coordinated RIS-enabled L&S architectures and detail three groups of application scenarios, relying on low-complexity beacons, cooperative localization, and full-duplex transceivers. A list of practical issues and consequent open research challenges of the proposed L&S systems is also provided.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jan 2023.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 4; 2026: 1.
7 papers.
- 2024Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVscited by 2
- 2025Integrating Stacked Intelligent Metasurfaces and Power Control for Dynamic Edge Inference via Over-The-Air Neural Networkscited by 2
- 2025Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approachcited by 2
- 2025Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Frameworkcited by 1
- 2023Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennascited by 0
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimizationcited by 0
- 2026Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approachcited by 0
- 2026Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach30 Jun 2026
- 2025RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization21 Dec 2025
- 2025Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approach25 Sep 2025
- 2025Integrating Stacked Intelligent Metasurfaces and Power Control for Dynamic Edge Inference via Over-The-Air Neural Networks23 Sep 2025
- 2025Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework6 Mar 2025
- 2024Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs5 Feb 2024
- 2023Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas30 Oct 2023