Nothing Special   »   [go: up one dir, main page]

Hu et al., 2020 - Google Patents

Modeling and analysis of energy harvesting and smart grid-powered wireless communication networks: A contemporary survey

Hu et al., 2020

View PDF
Document ID
13142995112538237205
Author
Hu S
Chen X
Ni W
Wang X
Hossain E
Publication year
Publication venue
IEEE Transactions on Green Communications and Networking

External Links

Snippet

The advancements in smart power grid and the advocation of “green communications” have inspired the wireless communication networks to harness energy from ambient environments and operate in an energy-efficient manner for economic and ecological …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/022—Site diversity; Macro-diversity
    • H04B7/024—Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
    • H04W72/12—Dynamic Wireless traffic scheduling; Dynamically scheduled allocation on shared channel
    • H04W72/1205—Schedule definition, set-up or creation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W52/00—Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—INDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B60/00—Information and communication technologies [ICT] aiming at the reduction of own energy use
    • Y02B60/50—Techniques for reducing energy-consumption in wireless communication networks

Similar Documents

Publication Publication Date Title
Hu et al. Modeling and analysis of energy harvesting and smart grid-powered wireless communication networks: A contemporary survey
Chu et al. Reinforcement learning-based multiaccess control and battery prediction with energy harvesting in IoT systems
Guo et al. Energy-efficient cooperative tfor simultaneous wireless information and power transfer in clustered wireless sensor networks
Lu et al. Wireless networks with RF energy harvesting: A contemporary survey
Krikidis Relay selection in wireless powered cooperative networks with energy storage
Gurakan et al. Energy cooperation in energy harvesting communications
Han et al. Powering mobile networks with green energy
Zhou et al. Wireless-powered cooperative communications: Power-splitting relaying with energy accumulation
Ahmed et al. Survey on energy harvesting wireless communications: Challenges and opportunities for radio resource allocation
Asiedu et al. Simultaneous wireless information and power transfer for decode-and-forward multihop relay systems in energy-constrained IoT networks
Chen et al. Real-time energy trading and future planning for fifth generation wireless communications
Biason et al. Battery-powered devices in WPCNs
Liu et al. Flexible and reliable multiuser SWIPT IoT network enhanced by UAV-mounted intelligent reflecting surface
Ghazzai et al. Joint demand-side management in smart grid for green collaborative mobile operators under dynamic pricing and fairness setup
Ge et al. Energy efficient optimization of wireless-powered 5G full duplex cellular networks: A mean field game approach
Du et al. Towards immortal wireless sensor networks by optimal energy beamforming and data routing
Lopez-Perez et al. A survey on 5G energy efficiency: massive MIMO, lean carrier design, sleep modes, and machine learning
Li et al. Performance analysis for two-way network-coded dual-relay networks with stochastic energy harvesting
He et al. A novel distributed resource allocation scheme for wireless-powered cognitive radio Internet of Things networks
Fu et al. UAV trajectory, user association, and power control for multi-UAV-enabled energy-harvesting communications: Offline design and online reinforcement learning
Ma et al. Joint relay selection and power allocation for cooperative cellular networks
Zhang et al. Multi-agent deep reinforcement learning based downlink beamforming in heterogeneous networks
Liu et al. Joint interference management and power allocation for relay-assisted smart grid communications
Qin et al. Packet routing and energy cooperation for RTU satellite-terrestrial multi-hop network in remote cyber-physical power system
Ariffin et al. Sparse beamforming for real-time energy trading in CoMP-SWIPT networks