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Found 7 papers, 1 papers with code
Energy Harvesting Maximization for Reconfigurable Intelligent Surfaces Using Amplitude Measurements
We prove the convergence of the proposed algorithm to the optimal value for the noiseless scenario.
Amplitude-Based Sequential Optimization of Energy Harvesting with Reconfigurable Intelligent Surfaces
We propose a sequential phase-alignment algorithm that maximizes the received power based on only power measurements.
Cell-Free Massive MIMO in O-RAN: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resources
In this paper, we explore the performance and power consumption of cell-free massive MIMO technology in comparison with traditional small-cell systems, in the virtualized O-RAN architecture.
Digital Twin Assisted Risk-Aware Sleep Mode Management Using Deep Q-Networks
In this study, we model the problem of BS energy saving utilizing multiple sleep modes as a sequential MDP and propose an online traffic-aware deep reinforcement learning approach to maximize the long-term energy saving.
Cell-Free Massive MIMO in Virtualized CRAN: How to Minimize the Total Network Power?
This paper proposes a new cell-free architecture that can be implemented on top of a virtualized cloud radio access network (V-CRAN).
Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers
As this module continuously monitors the received ambient energy for potential paging of the device, its contribution to WuR's power consumption is crucial.
Interference management for coexisting Internet of Things networks over unlicensed spectrum
More specifically, we focus on two scenarios for channel access management: i) coordinated access, where the activity patterns of gateways and sensors are coordinated with neighbors, and ii) uncoordinated access, in which each gateway and its associated nodes work independently from the neighbor ones.
