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Energy-Efficient Communication Networks and Systems

Energy-Efficient Communication Networks and Systems

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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.

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Keywords

  • 5G
  • 5G HetNets
  • access
  • analog RoF
  • base station
  • beamforming
  • BPSO
  • broadcast tree
  • C-RAN
  • classification trees (CTs)
  • cognitive networks
  • Computer science
  • Computing & information technology
  • content forwarding
  • coverage
  • D-RAN
  • Data
  • data dissemination
  • decimation
  • deep Q-network
  • deep reinforcement learning
  • digitized RoF
  • dynamic threshold
  • Economics, finance, business & management
  • energy consumption management
  • energy detection
  • Energy Efficiency
  • energy-aware algorithms
  • energy-efficiency
  • false alarm
  • fiber
  • FiWi
  • green communications
  • green networking
  • hybrid beamforming
  • Industry & industrial studies
  • Information technology industries
  • information-centric networks
  • Internet of Remote Things
  • Internet of Things
  • joint design
  • LEO satellite communications
  • Machine learning
  • massive MIMO
  • MAXFLAT
  • MEC
  • Media, information & communication industries
  • METRIC
  • Microphone
  • MIMO
  • Mobile fronthaul
  • mobile network operator
  • multigroup multicast
  • networks
  • NFV
  • NGFI
  • NG–PON
  • noise uncertainty
  • OFDM
  • PDM
  • Power
  • power consumption
  • power meters
  • power models
  • Probability
  • Radio
  • radio access network
  • receive
  • Resource allocation
  • robust
  • RoF
  • SDN
  • sensor array
  • sigma–delta
  • SISO
  • SLC
  • small cells (SCs)
  • Smart city
  • SNR
  • soft frequency reuse (SFR)
  • sparse LEO satellite transmission
  • spectrum sensing
  • telecom services operator
  • thema EDItEUR::U Computing and Information Technology::UY Computer science
  • traffic prediction
  • transmit
  • user scheduling
  • vehicular communications
  • Virtualization
  • water-level monitoring
  • wireless
  • wireless networks

Links

DOI: 10.3390/books978-3-0365-8967-1

Editions

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