Published January 1, 2025 | Version v1
Journal article Open

Reconfigurable Intelligent Surface Identification in Mobile Networks: Opportunities and Challenges

  • 1. Turkcell Iletisim Hizmetleri Inc, 6GEN Lab, Istanbul, Turkiye
  • 2. ULAK Commun, Ankara, Turkiye
  • 3. Koc Univ, Dept Elect & Elect Engn, Istanbul, Turkiye

Description

The advent of the sixth generation (6G) wireless networks heralds a transformative era for mobile communication, where the integration of cutting-edge technologies like Reconfigurable Intelligent Surfaces (RISs) is paramount in addressing the burgeoning demands for energy efficiency, high data rates, reliable connectivity, and enhanced coverage in densely populated areas. RISs have attracted the attention of academia as well as the industry and emerged as a beacon of innovation, offering a novel paradigm to reconfigure the wireless propagation environment beneficially, thereby enhancing the overall network performance. It is envisioned that the deployment of numerous RISs in a mobile network will serve user equipments (UEs) to boost various key performance indicators (KPIs), with lower energy consumption compared to alternative solutions (e.g., relays, and network-controlled repeaters). However, the knowledge of whether or not a UE is being served through an RIS, and if so, which RIS it is being served by, is crucial and beneficial for various network planning and operational reasons. In this article, we address the importance and the benefits of RIS identification in a mobile network. Additionally, we guide the readers and researchers by introducing alternative methods to enable RIS identification. Through the lens of this research, we shed light on various benefits for, the challenges to, and future opportunities in the identification of RISs serving mobile users in complex network environments, highlighting the necessity for advanced identification strategies to fully harness the potential of RIS technology in next-generation wireless systems.

Files

bib-1b54e2c5-c0a3-43fd-8116-a7b0cbb7a0b7.txt

Files (213 Bytes)

Name Size Download all
md5:fdd95fcc179833e399e9ac6eab99353d
213 Bytes Preview Download