
SystemLevel Modeling and Optimization of the Energy Efficiency in Cellular Networks  A Stochastic Geometry Framework
In this paper, we analyze and optimize the energy efficiency of downlink...
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A Learning Approach for LowComplexity Optimization of Energy Efficiency in MultiCarrier Wireless Networks
This paper proposes computationally efficient algorithms to maximize the...
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UserCentric 5G Cellular Networks: Resource Allocation and Comparison with the CellFree Massive MIMO Approach
Recently, the socalled cellfree (CF) Massive MIMO architecture has bee...
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EnergyEfficient Downlink Power Control in mmWave CellFree and UserCentric Massive MIMO
This paper considers cellfree and usercentric approaches for coverage ...
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Energy Efficiency in Hybrid Beamforming Largescale mmWave Multiuser MIMO with Spatial Modulation
The problem of radio resource allocation for global energy efficiency (G...
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Solving Fractional Polynomial Problems by Polynomial Optimization Theory
This work aims to introduce the framework of polynomial optimization the...
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Achievable Rate maximization by Passive Intelligent Mirrors
This paper investigates the use of a Passive Intelligent Mirrors (PIM) t...
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ModelAided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks Towards Wireless Systems Optimization
Deep learning based on artificial neural networks is a powerful machine ...
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Large Intelligent Surfaces for Energy Efficiency in Wireless Communication
The adoption of Large Intelligent Surfaces (LIS) in assisting downlink m...
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Energy Efficient MultiUser MISO Communication using Low Resolution Large Intelligent Surfaces
We consider a multiuser MultipleInput SingleOutput (MISO) communicati...
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Deep Learning Power Allocation in Massive MIMO
This work advocates the use of deep learning to perform maxmin and max...
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Deep Learning for Optimal EnergyEfficient Power Control in Wireless Interference Networks
This work develops a deep learning power control framework for energy ef...
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User Association and Load Balancing for Massive MIMO through Deep Learning
This work investigates the use of deep learning to perform user cell ass...
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Wireless Networks Design in the Era of Deep Learning: ModelBased, AIBased, or Both?
This work deals with the use of emerging deep learning techniques in fut...
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Deep Learning Based Online Power Control for Large Energy Harvesting Networks
In this paper, we propose a deep learning based approach to design onlin...
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Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems
One of the fundamental challenges to realize massive MultipleInput Mult...
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Smart Radio Environments Empowered by AI Reconfigurable MetaSurfaces: An Idea Whose Time Has Come
Future wireless networks are expected to constitute a distributed intell...
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EnergyEfficient Power Control in CellFree and UserCentric Massive MIMO at Millimeter Wave
In a cellfree massive MIMO architecture a very large number of distribu...
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Distributed Power Control for Large Energy Harvesting Networks: A MultiAgent Deep Reinforcement Learning Approach
In this paper, we develop a multiagent reinforcement learning (MARL) fr...
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Uplink power control in cellfree massive MIMO via deep learning
This paper focuses on the use of a deep learning approach to perform sum...
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Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Future wireless networks are expected to evolve towards an intelligent a...
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Alessio Zappone
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