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Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
The adoption of a reconfigurable intelligent surface (RIS) for downlink multi-user communication from a multi-antenna base station is investigated and the results show that the proposed RIS-based resource allocation methods are able to provide up to 300% higher energy efficiency in comparison with the use of regular multi-Antenna amplify-and-forward relaying.
Energy Efficiency in Wireless Networks via Fractional Programming Theory
This monograph presents a unified framework for energy efficiency maximization in wireless networks via fractional programming theory, showing how the described framework is general enough to be extended in these directions, proving useful in tackling future challenges that may arise in the design of energy-efficient future wireless networks.
Energy-Efficient Scheduling and Power Allocation in Downlink OFDMA Networks With Base Station Coordination
This paper addresses the problem of energy-efficient resource allocation in the downlink of a cellular orthogonal frequency division multiple access system and shows that the maximization of the energy efficiency is approximately equivalent to the maximizations of the spectral efficiency for small values of the maximum transmit power.
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
This paper overviews the current research efforts on smart radio environments, the enabling technologies to realize them in practice, the need of new communication-theoretic models for their analysis and design, and the long-term and open research issues to be solved towards their massive deployment.
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead
The emerging research field of RIS-empowered SREs is introduced; the most suitable applications of RISs in wireless networks are overviewed; an electromagnetic-based communication-theoretic framework for analyzing and optimizing metamaterial-based RISs is presented; and the most important research issues to tackle are discussed.
Energy-Efficient Power Control: A Look at 5G Wireless Technologies
This paper develops power control algorithms for energy efficiency (EE) maximization (measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate constraints are imposed
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead
This survey provides an overview of energy-efficient wireless communications, reviews seminal and recent contribution to the state-of-the-art, including the papers published in this special issue, and discusses the most relevant research challenges to be addressed in the future.
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
An overview of HMIMOS communications including the available hardware architectures for reconfiguring such surfaces are provided, and the opportunities and key challenges in designingHMIMOS-enabled wireless communications are highlighted.
Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks
The proposed monotonic framework is used to shed light on the ultimate performance of wireless networks in terms of EE and also to benchmark the performance of the lower-complexity framework based on sequential programming.
Energy Efficiency Optimization in Relay-Assisted MIMO Systems With Perfect and Statistical CSI
A framework for energy-efficient resource allocation in a single-user, amplify-and-forward (AF), relay-assisted, multiple-input-multiple-output (MIMO) system is devised, and sufficient conditions for beamforming optimality are derived, which is useful in simplifying the system design.