paper-with-me

홈 › Papers

Electric Field Evaluation of Reconfigurable Intelligent Surface in Wireless Networks

2024-02-20 · Zhuangzhuang Cui, Franco Minucci, Rizqi Hersyandika, Rodney Martinez Alonso, Andrea P. Guevara, Hazem Sallouha, Sofie Pollin

Reconfigurable intelligent surface (RIS) used as infrastructure in wireless networks has been a trend, thanks to its low cost and high flexibility. Working in many ways including reflective mirrors and phase-shifted surfaces, RIS is able to enhance the coverage in communications and provide more degrees of freedom for sensing. However, the key issue lies in how to place RIS in accordance with the regulations for electromagnetic field (EMF) exposure, which requires refined evaluations. In this paper, we first investigate the regulations in terms of E-field. Then, relevant deployment characteristics are evaluated jointly: the minimum distance from the base station (BS) to the RIS, and the minimum height of the RIS are given for a given BS power limit and as function of the number of RIS elements. The ray-tracing simulations verify the correctness of our analysis. Besides, different frequency ranges (FRs) and radiation patterns of RIS elements are investigated. The results show that the EMF exposure risk is negligible when RIS works in the reflective-only (RO) mode. However, when it works in the beamforming (BO) mode, its placement should be well specified based on our analytical framework to comply with the regulations of E-field limit in general public scenarios. Finally, we provide an E-field measurement methodology and low-cost solutions in terms of general wireless networks and 5G standalone networks, which pave the way for real-world evaluation in future work.

📄 PDF Abstract BibTeX arXiv:2402.13132

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

EMF BCI MI framework to classifiy brain signals using a multimodal decission making phase, with an addtional differentiation of the signal.
BASE 설명 없음

Similar Papers 제목 키워드 기반

Reconfigurable Surface Wave Platform Using Fluidic Conductive Structures

2021-05-22 · Z. Chu, K. K. Wong, K. F. Tong

Surface wave inherently has less propagation loss as it adheres to the surface and minimizes unwanted dissipation in space. Recently, they find applications in network-on-chip (NoC) communications and intelligent surface…

Optimizing the Deployment of Reconfigurable Intelligent Surfaces in MmWave Vehicular Systems

2022-05-31 · Xiaowen Tian, Nuria Gonzalez-Prelcic, Robert W. Heath Jr

Millimeter wave (MmWave) systems are vulnerable to blockages, which cause signal drop and link outage. One solution is to deploy reconfigurable intelligent surfaces (RISs) to add a strong non-line-of-sight path from the …

3D geometry

Ray Tracing Algorithm for Reconfigurable Intelligent Surfaces

2024-02-20 · Sara Sandh, Hamed Radpour, Benjamin Rainer, Markus Hofer 외

Ray tracing accelerated with graphics processing units (GPUs) is an accurate and efficient simulation technique of wireless communication channels. In this paper, we extend a GPU-accelerated ray tracer (RT) to support th…

GPU

Study and Design of Reconfigurable Intelligent Surfaces

2022-10-16 · Apostolos Spanakis-Misirlis

In this thesis, we introduce the fundamental equations behind the estimation of the link budget in a communications channel, highlighting the key limitations of conventional systems. Furthermore, we investigate the use o…

EMF-Aware Cellular Networks in RIS-Assisted Environments

2021-10-19 · Hussam Ibraiwish, Ahmed Elzanaty, Yazan H. Al-Badarneh, Mohamed-Slim Alouini

The deployment of the 5th-generation cellular networks (5G) and beyond has triggered health concerns due to the electric and magnetic fields (EMF) exposure. In this paper, we propose a novel architecture to minimize the …