Energy Efficient Beamforming for Multi-Cell MISO SWIPT Systems

Seokju Jang, Hoon Lee, Seowoo Kang, Taeseok Oh, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies beamforming design problems for multi-cell multi-user downlink networks with simultaneous wireless information and power transfer. In this system, base stations (BSs) concurrently transfer information and energy to multiple single-antenna information decoding (ID) and energy harvesting (EH) users. We aim to maximize energy harvesting efficiency (EHE), which is defined as the ratio of the harvested energy at the EH users to the amount of energy consumption at the BSs, while guaranteeing quality-of-service constraint for each ID user. First, for the centralized case where global channel state information (CSI) is available at all BSs, we propose a centralized beamforming method based on the semi-definite relaxation techniques. Next, in order to reduce the backhaul signaling overhead, a decentralized algorithm is presented where each BS computes its beamforming vector by only using local CSI. Simulation results show that the proposed algorithm offers a significant EHE performance gain over conventional schemes.

Original languageEnglish
Title of host publication2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538663585
DOIs
Publication statusPublished - 2019 Apr 12
Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: 2018 Aug 272018 Aug 30

Publication series

NameIEEE Vehicular Technology Conference
Volume2018-August
ISSN (Print)1550-2252

Conference

Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
CountryUnited States
CityChicago
Period18/8/2718/8/30

Fingerprint

Energy Harvesting
Energy harvesting
Beamforming
Energy Efficient
Base stations
Cell
Channel state information
Channel State Information
Decoding
Semidefinite Relaxation
Information Transfer
Energy Transfer
Decentralized
Quality of Service
Energy Consumption
Antenna
Quality of service
Energy utilization
Maximise
Antennas

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Jang, S., Lee, H., Kang, S., Oh, T., & Lee, I. (2019). Energy Efficient Beamforming for Multi-Cell MISO SWIPT Systems. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings [8690892] (IEEE Vehicular Technology Conference; Vol. 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2018.8690892

Energy Efficient Beamforming for Multi-Cell MISO SWIPT Systems. / Jang, Seokju; Lee, Hoon; Kang, Seowoo; Oh, Taeseok; Lee, Inkyu.

2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8690892 (IEEE Vehicular Technology Conference; Vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jang, S, Lee, H, Kang, S, Oh, T & Lee, I 2019, Energy Efficient Beamforming for Multi-Cell MISO SWIPT Systems. in 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings., 8690892, IEEE Vehicular Technology Conference, vol. 2018-August, Institute of Electrical and Electronics Engineers Inc., 88th IEEE Vehicular Technology Conference, VTC-Fall 2018, Chicago, United States, 18/8/27. https://doi.org/10.1109/VTCFall.2018.8690892
Jang S, Lee H, Kang S, Oh T, Lee I. Energy Efficient Beamforming for Multi-Cell MISO SWIPT Systems. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8690892. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2018.8690892
Jang, Seokju ; Lee, Hoon ; Kang, Seowoo ; Oh, Taeseok ; Lee, Inkyu. / Energy Efficient Beamforming for Multi-Cell MISO SWIPT Systems. 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE Vehicular Technology Conference).
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