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Sensing capability is one of the most highlighted new feature of future 6G wireless networks. This paper addresses the sensing potential of Large Intelligent Surfaces (LIS) in an exemplary Industry 4.0 scenario. Besides the attention…

信号处理 · 电气工程与系统科学 2021-04-14 Cristian J. Vaca-Rubio , Pablo Ramirez-Espinosa , Kimmo Kansanen , Zheng-Hua Tan , Elisabeth de Carvalho , Petar Popovski

One of the beyond-5G developments that is often highlighted is the integration of wireless communication and radio sensing. This paper addresses the potential of communication-sensing integration of Large Intelligent Surfaces (LIS) in an…

This paper surveys the optimization frameworks and performance analysis methods for large intelligent surfaces (LIS), which have been emerging as strong candidates to support the sixth-generation wireless physical platforms (6G). Due to…

Employing large intelligent surfaces (LISs) is a promising solution for improving the coverage and rate of future wireless systems. These surfaces comprise a massive number of nearly-passive elements that interact with the incident signals,…

信息论 · 计算机科学 2019-05-01 Abdelrahman Taha , Muhammad Alrabeiah , Ahmed Alkhateeb

Reconfigurable intelligent surfaces (RISs), with the potential to realize a smart radio environment, have emerged as an energy-efficient and a cost-effective technology to support the services and demands foreseen for coming decades. By…

信息论 · 计算机科学 2021-07-13 Sarah Basharat , Syed Ali Hassan , Haris Pervaiz , Aamir Mahmood , Zhiguo Ding , Mikael Gidlund

Reconfigurable intelligent surfaces (RISs) have flexible and exceptional performance in manipulating electromagnetic waves and customizing wireless channels. These capabilities enable them to provide a plethora of valuable activity-related…

信号处理 · 电气工程与系统科学 2023-11-15 Xinyu Li , Jian Wei You , Ze Gu , Qian Ma , Long Chen , Jingyuan Zhang , Shi Jin , Tie Jun Cui

Reconfigurable intelligent surface (RIS)-empowered communication is one of the promising 6G technologies that allows the conversion of the wireless channel into an intelligent transmit entity by manipulating the impinging waves using…

信息论 · 计算机科学 2020-09-01 I. Yildirim , A. Uyrus , E. Basar

Reconfigurable Intelligent Surfaces (RIS) constitute a promising technology that could fulfill the extreme performance and capacity needs of the upcoming 6G wireless networks, by offering software-defined control over wireless propagation…

In this paper, transmission through large intelligent surfaces (LIS) that intentionally modify the phases of incident waves to improve the signal quality at the receiver, is put forward as a promising candidate for future wireless…

信号处理 · 电气工程与系统科学 2019-04-17 Ertugrul Basar

Reconfigurable intelligent surface (RIS)-empowered communication is one of the promising physical layer enabling technologies for the sixth generation (6G) wireless networks due to their unprecedented capabilities in shaping the wireless…

信号处理 · 电气工程与系统科学 2025-11-17 Aymen Khaleel , Recep Vural , Mehmet Cagri Ilter , Majid Gerami , Ertugrul Basar

In this paper, we consider the potential of data-transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous surface of electromagnetically active material. We refer to this as a large…

信息论 · 计算机科学 2018-05-09 Sha Hu , Fredrik Rusek , Ove Edfors

Intelligent reflecting surfaces (IRSs) tune wireless environments to increase spectrum and energy efficiencies. In view of much recent attention to the IRS concept as a promising technology for 6G wireless communications, we present a…

信号处理 · 电气工程与系统科学 2019-11-05 Jun Zhao

In the sixth-generation (6G) era, emerging large-scale computing based applications (for example processing enormous amounts of images in real-time in autonomous driving) tend to lead to excessive energy consumption for the end users, whose…

信号处理 · 电气工程与系统科学 2021-09-06 Bo Yang , Xuelin Cao , Chongwen Huang , Yong Liang Guan , Chau Yuen , Marco Di Renzo , Dusit Niyato , Merouane Debbah , Lajos Hanzo

A potential candidate technology for the development of future 6G networks has been recognized as Reconfigurable Intelligent Surface (RIS). However, due to the variation in radio link quality, traditional passive RISs only accomplish a…

信号处理 · 电气工程与系统科学 2023-09-26 Rashed Hasan Ratul , Muhammad Iqbal , Tabinda Ashraf , Jen-Yi Pan , Yi-Han Wang , Shao-Yu Lien

Environmental scene reconstruction is of great interest for autonomous robotic applications, since an accurate representation of the environment is necessary to ensure safe interaction with robots. Equally important, it is also vital to…

Integrated sensing and communication (ISAC) is recognized as one of the key enabling technologies for sixth-generation (6G) wireless communication networks, facilitating diverse emerging applications and services in an energy and…

信息论 · 计算机科学 2025-03-04 Zehra Yigit , Ertugrul Basar

A Reconfigurable Intelligent Surface (RIS) can significantly enhance network positioning and mapping, acting as an additional anchor point in the reference system and improving signal strength and measurement diversity through the…

Reconfigurable intelligent surfaces (RISs), also known as intelligent reflecting surfaces (IRSs), or large intelligent surfaces (LISs), have received significant attention for their potential to enhance the capacity and coverage of wireless…

信号处理 · 电气工程与系统科学 2021-05-05 Yuanwei Liu , Xiao Liu , Xidong Mu , Tianwei Hou , Jiaqi Xu , Marco Di Renzo , Naofal Al-Dhahir

Forthcoming 6G networks have two predominant features of wide coverage and sufficient computation capability. To support the promising applications, Integrated Sensing, Communication, and Computation (ISCC) has been considered as a vital…

系统与控制 · 电气工程与系统科学 2024-07-17 Bin Li , Wancheng Xie , Zesong Fei

The intelligent information society, which is highly digitized, intelligence inspired and globally data driven, will be deployed in the next decade. The next 6G wireless communication networks are the key to achieve this grand blueprint,…

网络与互联网体系结构 · 计算机科学 2021-10-19 Wen-Xuan Long , Rui Chen , Marco Moretti , Wei Zhang , Jiandong Li
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