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pro vyhledávání: '"Stylianopoulos, Kyriakos"'
In this paper, we consider the problem of jointly controlling the configuration of a Reconfigurable Intelligent Surface (RIS) with unit elements of discrete responses and a codebook-based transmit precoder in RIS-empowered Multiple-Input Single-Outpu
Externí odkaz:
http://arxiv.org/abs/2409.01765
While Reconfigurable Intelligent Surfaces (RISs) constitute one of the most prominent enablers for the upcoming sixth Generation (6G) of wireless networks, the design of efficient RIS phase profiles remains a notorious challenge when large numbers of
Externí odkaz:
http://arxiv.org/abs/2407.13510
Autor:
Ma, Xianjun, Zhou, Yonggang, Luo, Qi, Ma, Yihan, Stylianopoulos, Kyriakos, Alexandropoulos, George C.
In this paper, a proof-of-concept study of a $1$-bit wideband reconfigurable intelligent surface (RIS) comprising planar tightly coupled dipoles (PTCD) is presented. The developed RIS operates at subTHz frequencies and a $3$-dB gain bandwidth of $27.
Externí odkaz:
http://arxiv.org/abs/2402.08445
Autor:
Stylianopoulos, Kyriakos, Bayraktar, Murat, Prelcic, Nuria González, Alexandropoulos, George C.
User localization and tracking in the upcoming generation of wireless networks have the potential to be revolutionized by technologies such as the Dynamic Metasurface Antennas (DMAs). Commonly proposed algorithmic approaches rely on assumptions about
Externí odkaz:
http://arxiv.org/abs/2310.19767
Publikováno v:
2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5
In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate inference at the wireless edge, in the context of 6G networks endowed with reconfigurable intelligent surfaces (RISs). We consider a scenario where new data are c
Externí odkaz:
http://arxiv.org/abs/2305.10931
Autor:
Saggese, Fabio, Croisfelt, Victor, Kotaba, Radosław, Stylianopoulos, Kyriakos, Alexandropoulos, George C., Popovski, Petar
The research on Reconfigurable Intelligent Surfaces (RISs) has dominantly been focused on physical-layer aspects and analyses of the achievable adaptation of the wireless propagation environment. Compared to that, questions related to system-level in
Externí odkaz:
http://arxiv.org/abs/2303.16797
Autor:
Alexandropoulos, George C., Stylianopoulos, Kyriakos, Huang, Chongwen, Yuen, Chau, Bennis, Mehdi, Debbah, Mérouane
The emerging technology of Reconfigurable Intelligent Surfaces (RISs) is provisioned as an enabler of smart wireless environments, offering a highly scalable, low-cost, hardware-efficient, and almost energy-neutral solution for dynamic control of the
Externí odkaz:
http://arxiv.org/abs/2205.03793
Reinforcement Learning (RL) approaches are lately deployed for orchestrating wireless communications empowered by Reconfigurable Intelligent Surfaces (RISs), leveraging their online optimization capabilities. Most commonly, in RL-based formulations f
Externí odkaz:
http://arxiv.org/abs/2204.08367
Autor:
Stylianopoulos, Kyriakos, Alexandropoulos, George, Huang, Chongwen, Yuen, Chau, Bennis, Mehdi, Debbah, and Mérouane
The emergent technology of Reconfigurable Intelligent Surfaces (RISs) has the potential to transform wireless environments into controllable systems, through programmable propagation of information-bearing signals. Techniques stemming from the field
Externí odkaz:
http://arxiv.org/abs/2202.08194
The integration of Reconfigurable Intelligent Surfaces (RISs) into wireless environments endows channels with programmability, and is expected to play a key role in future communication standards. To date, most RIS-related efforts focus on quasi-free
Externí odkaz:
http://arxiv.org/abs/2202.07884