Energy efficient optimisation for large-scale multiple-antenna system with WPT
Chang, Z., Zhang, S., Wang, Z., Guo, X., Han, Z., & Ristaniemi, T. (2018). Energy efficient optimisation for large-scale multiple-antenna system with WPT. IET Communications, 12(5), 552-558. https://doi.org/10.1049/iet-com.2017.0472
Published in
IET CommunicationsDate
2018Copyright
© IET Communications, 2018.
In this study, an energy-efficient optimisation scheme for a large-scale multiple-antenna system with wireless power transfer (WPT) is presented. In the considered system, the user is charged by a base station with a large number of antennas via downlink WPT and then utilises the received power to carry out uplink data transmission. Novel antenna selection, time allocation and power allocation schemes are presented to optimise the energy efficiency of the overall system. In addition, the authors also consider channel state information cannot be perfectly obtained when designing the resource allocation schemes. The non-linear fractional programming-based algorithm is utilised to address the formulated problem. Their proposed schemes are validated by extensive simulations and it shows superior performance over the existing schemes.
Publisher
IETISSN Search the Publication Forum
1751-8628Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/27985025
Metadata
Show full item recordCollections
Related funder(s)
Research Council of FinlandFunding program(s)
Joint International Project, AoFAdditional information about funding
This work is partly supported by the Academy of Finland (Decision number 284748), Hebei NSF (E2017203351), U.S. National Natural Science Foundation under Grant CNS-1702850, Grant CNS-1646607, Grant ECCS-1547201, Grant CCF-1456921, Grant CMMI-1434789, Grant CNS-1443917, and Grant ECCS-1405121.License
Related items
Showing items with similar title or keywords.
-
Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna
Chang, Zheng; Han, Zhu; Ristaniemi, Tapani (IEEE, 2017)Wireless network virtualization is envisioned as a promising framework to provide efficient and customized services for next-generation wireless networks. In wireless virtualized networks (WVNs), limited radio resources ... -
Energy efficient and distributed resource allocation for wireless powered OFDMA multi-cell networks
Chang, Zheng; Wang, Zhongyu; Guo, Xijuan; Han, Zhu; Ristaniemi, Tapani (IEEE, 2017)In this paper, we investigate the energy efficient resource allocation problem for the wireless powered OFDMA multi-cell networks. In the considered system, the users who have data to transmit in the uplink can only be ... -
Distributed Resource Allocation for Energy Efficiency in OFDMA Multicell Networks with Wireless Power Transfer
Chang, Zheng; Wang, Zhongyu; Guo, Xijuan; Yang, Chungang; Han, Zhu; Ristaniemi, Tapani (Institute of Electrical and Electronics Engineers, 2019)In this paper, an energy-efficient resource allocation problem is investigated for the wireless power transfer (WPT)-enabled OFDMA multicell networks. In the considered system, multiple base stations (BSs) with a large ... -
Energy Efficient Resource Allocation for Wireless Powered UAV Wireless Communication System with Short Packet
Xie, Jin; Chang, Zheng; Guo, Xijuan; Hämäläinen, Timo (Institute of Electrical and Electronics Engineers (IEEE), 2022)The unmanned aerial vehicle (UAV), which is prominent in its flexibility and low cost, is considered to be fully utilized in the future wireless communication system to provide flexible services and improve connectivities. ... -
Energy Efficient Resource Allocation for Wireless Powered UAV Wireless Communication System with Short Packet
Xie, Jin; Chang, Zheng; Guo, Xijuan; Hämäläinen, Timo (Institute of Electrical and Electronics Engineers (IEEE), 2023)The unmanned aerial vehicle (UAV), which is prominent in its flexibility and low cost, is considered to be fully utilized in the future wireless communication system to provide flexible services and improve connectivities. ...