Filters








238 Hits in 7.9 sec

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods [article]

Zongze Li, Shuai Wang, Qingfeng Lin, Yang Li, Miaowen Wen, Yik-Chung Wu, H. Vincent Poor
2022 arXiv   pre-print
However, due to the unique constraints on the phase shift, and massive numbers of reflecting units and users in large-scale networks, the resulting optimization problems are challenging to solve.  ...  This paper provides a review of current optimization methods and artificial intelligence-based methods for handling the constraints imposed by RIS and compares them in terms of solution quality and computational  ...  Scalability of AI-based Methods In AI-based methods, while generic multi-layer perceptrons (MLPs) and convolutional neural networks (CNNs) have been widely used for wireless resource allocations, there  ... 
arXiv:2204.13372v1 fatcat:muewjidirjclndg2zziwqd6wki

Reconfigurable intelligent surfaces for wireless communications: Overview of hardware designs, channel models, and estimation techniques

Mengnan Jian, George C. Alexandropoulos, Ertugrul Basar, Chongwen Huang, Ruiqi Liu, Yuanwei Liu, Chau Yuen
2022 Intelligent and Converged Networks  
RIS-empowered wireless networking approaches.  ...  advances in RIS hardware architectures as well as the most recent developments in the modeling of RIS unit elements and RIS-empowered wireless signal propagation.  ...  In Ref. [168] , the influence of RIS on the positioning was analyzed from the perspective of how to design RIS phase shift matrix to improve positioning accuracy.  ... 
doi:10.23919/icn.2022.0005 fatcat:o54tmkjpufey3fug57kdruy3x4

Reconfigurable Intelligent Surfaces for Future Wireless Networks: A Channel Modeling Perspective [article]

E. Basar, I. Yildirim
2021 arXiv   pre-print
This article aims to shed light on the potential use-cases of RISs in future wireless systems by means of a novel channel modeling methodology as well as a new software tool for RIS-empowered millimeter-wave  ...  Potential future research directions are also discussed to bridge the gap between the theory and practice of RIS-empowered systems towards their standardization for 6G wireless networks.  ...  At this point, we might use AI-aided tools or sophisticated optimization methods to reach a compromise.  ... 
arXiv:2008.01448v4 fatcat:q2wei5j6njh2tcjmqj37wk6wwe

Communication-Efficient Edge AI Inference Over Wireless Networks [article]

Kai Yang, Yong Zhou, Zhanpeng Yang, Yuanming Shi
2020 arXiv   pre-print
As such, the intelligent communication networks will be designed to leverage advanced wireless techniques and edge computing technologies to support AI-enabled applications at various end devices with  ...  at the edge of wireless networks in the near future.  ...  The additional dimension provided by the phase shifts at RIS is able to further enhance the desired signals while nulling interference.  ... 
arXiv:2004.13351v1 fatcat:4c2d3thzu5aj7e2u6shjwz5jni

Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks [article]

Xiao Liu, Yuanwei Liu, Yue Chen
2020 arXiv   pre-print
The energy consumption minimizing problem is formulated by jointly designing the movement of the UAV, phase shifts of the RIS, power allocation policy from the UAV to MUs, as well as determining the dynamic  ...  to the local optimal.  ...  Q-network (D-DQN) based algorithm to tackle the formulated joint trajectory and phase shift design problem.  ... 
arXiv:2010.02749v1 fatcat:pnst77qhvzhizbyxlvupua5ne4

The Interplay of Reconfigurable Intelligent Surfaces and Mobile Edge Computing in Future Wireless Networks: A Win-Win Strategy to 6G [article]

Mithun Mukherjee and Vikas Kumar and Mian Guo and Daniel Benevides da Costa and Ertugrul Basar and Zhiguo Ding
2021 arXiv   pre-print
Reconfigurable intelligent surface (RIS)-empowered communication is being considered as an enabling technology for sixth generation (6G) wireless networks.  ...  We envision that the integration of MEC and RIS will bring an unprecedented transformation to the future evolution of wireless networks.  ...  Challenges in AI/ML-enabled RIS: Motivation to Use MEC in RIS Over the past decade, artificial intelligence/machine learning (AI/ML) is being widely investigated in various kinds of system design and optimization  ... 
arXiv:2106.11784v1 fatcat:hhyhdeijtvcofma3vz2nnzvnza

RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design [article]

Xiao Liu, Yuanwei Liu, Yue Chen, H. Vincent Poor
2020 arXiv   pre-print
Secondly, a decaying double deep Q-network (D3QN) based position-acquisition and phase-control algorithm is proposed to solve the joint problem of deployment and design of the RIS.  ...  The agent periodically observes the state of the RIS-enhanced system for attaining the optimal deployment and design policies of the RIS by learning from its mistakes and the feedback of users.  ...  In [2] , the authors jointly optimized the phase shift of the RIS, as well as the power allocation from the BS to the MUs.  ... 
arXiv:2001.10363v1 fatcat:ynokevksbjflxpwohn6tc6rth4

Evolution Toward 6G Wireless Networks: A Resource Management Perspective [article]

Mehdi Rasti, Shiva Kazemi Taskou, Hina Tabassum, Ekram Hossain
2021 arXiv   pre-print
The unique RM challenges in 6G necessitate the transformation of existing optimization-based solutions to artificial intelligence/machine learning-empowered solutions.  ...  In this article, we first present the vision, key performance indicators, key enabling techniques (KETs), and services of 6G wireless networks.  ...  For example, phase-shift optimization in RIS networks, height optimization in aerial networks, opportunistic spectrum selection in mixed RF/mm-wave/THz networks, mining mode selection in blockchain networks  ... 
arXiv:2108.06527v1 fatcat:cevwbeknzzh2voiv2sjifhrgpe

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques [article]

Rawan Alghamdi, Reem Alhadrami, Dalia Alhothali, Heba Almorad, Alice Faisal, Sara Helal, Rahaf Shalabi, Rawan Asfour, Noofa Hammad, Asmaa Shams, Nasir Saeed, Hayssam Dahrouj (+2 others)
2020 arXiv   pre-print
In this context, researchers have been recently exploring LIS technology in depth as a means to achieve programmable, virtualized, and distributed wireless network infrastructures.  ...  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  ...  LIS-empowered networks.  ... 
arXiv:2006.06541v2 fatcat:4dms2bu5xjhsxadclntf2ubpra

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning [article]

Hang Liu, Zehong Lin, Xiaojun Yuan, Ying-Jun Angela Zhang
2022 arXiv   pre-print
Federated edge learning (FEEL) has emerged as a revolutionary paradigm to develop AI services at the edge of 6G wireless networks as it supports collaborative model training at a massive number of mobile  ...  We study the state-of-the-art solutions on RIS-empowered FEEL and explore the promising research opportunities for adopting RIS to enhance FEEL performance.  ...  The RIS-enabled wireless networks are thus able to enhances the channel conditions of devices by tuning the RIS phase shifts.  ... 
arXiv:2109.02353v2 fatcat:fpi7xru5tfghvbddd3z3teb4ba

Reconfigurable Intelligent Surfaces and Metamaterials: The Potential of Wave Propagation Control for 6G Wireless Communications [article]

George C. Alexandropoulos and Geoffroy Lerosey and Merouane Debbah and Mathias Fink
2020 arXiv   pre-print
research directions for RIS design and RIS-empowered 6G wireless communications.  ...  The future 6G of wireless communication networks will have to meet multiple requirements in increasingly demanding levels, either individually or in combinations in small groups.  ...  in order to be accounted for in the communication theory analyses and wireless signal processing designs. 3) Channel Tracking in RIS-Empowered Networks: To date, studies on RIS-empowered wireless communications  ... 
arXiv:2006.11136v1 fatcat:xi5foe7gizdmtd4zats6upulje

Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques [article]

Mengnan Jian and George C. Alexandropoulos and Ertugrul Basar and Chongwen Huang and Ruiqi Liu and Yuanwei Liu and Chau Yuen
2022 arXiv   pre-print
RIS-empowered wireless networking approaches.  ...  advances in RIS hardware architectures as well as the most recent developments in the modeling of RIS unit elements and RIS-empowered wireless signal propagation.  ...  In [171] , the influence of RIS on the positioning is analyzed from the perspective of how to design RIS phase shift matrix to improve positioning accuracy.  ... 
arXiv:2203.03176v1 fatcat:s7ok4pgo5bbxxgcbkzik7jpari

Machine Learning: A Catalyst for THz Wireless Networks

Alexandros-Apostolos A. Boulogeorgos, Edwin Yaqub, Marco di Renzo, Angeliki Alexiou, Rachana Desai, Ralf Klinkenberg
2021 Frontiers in Communications and Networks  
turned their attention to the development of artificial intelligence (AI) enabled terahertz (THz) wireless networks.  ...  In this article, we list the applications of THz wireless systems in the beyond fifth generation era and discuss their enabling technologies and fundamental challenges that can be formulated as AI problems  ...  Finally, in (Liu et al., 2020c) , Liu et al. used Q-learning in order to jointly designing the movement of the UAV, phase shifts of the RIS, power allocation policy from the UAV to mobile UEs, as well  ... 
doi:10.3389/frcmn.2021.704546 fatcat:c7okz673z5cibo54yga7a2eoiq

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface [article]

Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen
2020 arXiv   pre-print
To this end, federated machine learning, as a disruptive technology, is emerged to distill intelligence from the data at network edge, while guaranteeing device privacy and data security.  ...  Intelligent Internet-of-Things (IoT) will be transformative with the advancement of artificial intelligence and high-dimensional data analysis, shifting from "connected things" to "connected intelligence  ...  To this end, the phase shifts of reflecting elements at the RIS should be optimized to minimize the MSE of model aggregation.  ... 
arXiv:2004.05843v1 fatcat:dlzrbcjqfzf5dmlvvf7w6hshuu

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

Rawan Alghamdi, Reem Alhadrami, Dalia Alhothali, Heba Almorad, Alice Faisal, Sara Helal, Rahaf Shalabi, Rawan Asfour, Noofa Hammad, Asmaa Shams, Nasir Saeed, Hayssam Dahrouj (+2 others)
2020 IEEE Access  
One possible approach that future studies must exploit is datadriven optimization. IRS systems are complex to analyze and design compared to conventional wireless networks.  ...  Furthermore, RIS can be used to complement VLC whenever LoS conditions fail, thus, supporting future wireless networks.  ... 
doi:10.1109/access.2020.3031959 fatcat:u7vei73omvgo3hzbw4ejlzhca4
« Previous Showing results 1 — 15 out of 238 results