Reprint

Energy-Efficient Communication Networks and Systems

Edited by
October 2023
368 pages
  • ISBN978-3-0365-8966-4 (Hardback)
  • ISBN978-3-0365-8967-1 (PDF)

This book is a reprint of the Special Issue Energy-Efficient Communication Networks and Systems that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

The reprint “Energy-efficient communication networks and systems gives insights into the range of problems in the field of obtaining more energy-efficient communication networks and systems. The reprint contains the outcomes of the “Special Issue on energy-efficient communication networks and systems” organized for the Sensors journal published by the Multidisciplinary Digital Publishing Institute (MDPI). The 12 high-quality papers published in the frame of the Sensors journal Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field to which this reprint is dedicated.Published papers consolidated in this reprint are self-contained peer-reviewed scientific works. Among published papers, one paper is editorial, one paper is a review type of paper, and the remaining ten articles are research articles. The papers are authored by 40 authors coming from academia and industry. The published articles target the improvement of energy efficiency in the fields of fiber-wireless, vehicle-to-vehicle/infrastructure, sensors, satellites, 5G, virtual elements, and cognitive radio networks. The contributions of published papers provide valuable insights into the latest research and technologies for improving the energy efficiency of communication networks and systems.This reprint can serve the readers as a source of information when needed in their industrial, teaching and/or research and development activities since it presents the recent advances in different fields related to improving the energy efficiency of communication networks and systems.

Format
  • Hardback
License
© by the authors
Keywords
green communications; green networking; 5G; radio access network; base station; energy-efficiency; metric; data; coverage; power; mobile network operator; wireless; spectrum sensing; energy detection; SLC; OFDM; noise uncertainty; dynamic threshold; MIMO; SISO; cognitive networks; SNR; probability; wireless; false alarm; transmit; receive; power; energy consumption management; content forwarding; information-centric networks; internet of things; smart city; LEO satellite communications; massive MIMO; multigroup multicast; user scheduling; hybrid beamforming; robust; joint design; energy efficiency; 5G HetNets; BPSO; classification trees (CTs); soft frequency reuse (SFR); small cells (SCs); virtualization; power consumption; power models; power meters; energy-aware algorithms; vehicular communications; deep reinforcement learning; deep Q-network; resource allocation; energy efficiency; radio; access; networks; fiber; D-RAN; C-RAN; Mobile fronthaul; RoF; digitized RoF; analog RoF; NGFI; FiWi; NG–PON; energy efficiency; SDN; NFV; MEC; energy efficiency; machine learning; telecom services operator; traffic prediction; Internet of Remote Things; sparse LEO satellite transmission; water-level monitoring; wireless networks; data dissemination; broadcast tree; MAXFLAT; PDM; sigma–delta; microphone; sensor array; decimation; beamforming