hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Energy-aware Power Control in Energy Cooperation Aided Millimeter Wave Cellular Networks with Renewable Energy Resources
Queen Mary University of London, London, United Kingdom.ORCID iD: 0000-0003-1603-3723
Queen Mary University of London, London, United Kingdom.
Queen Mary University of London, London, United Kingdom.
Middlesex University, London, United Kingdom.
Show others and affiliations
2016 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 5, 432-442 p.Article in journal (Refereed) Published
Abstract [en]

Increased energy consumption becomes a major issue in 5G cellular networks, which inspires the network operators to deploy renewable energy sources. However, due to the fluctuating nature of renewable energy sources, the energy harvested by base stations (BSs) may not fit for their load conditions. The transmit power of the BS needs to be redesigned again. Hence, this paper considers power control in energy cooperation enabled millimeter wave (mmWave) networks, to alleviate the harvested energy imbalance problem and reduce the energy waste. Each BS is solely powered by renewable energy sources and the harvested energy is allowed to be transferred between BSs. Each BS needs to determine whether the energy should be stored in the battery or transferred to others at each time slot. In this work, power control is formulated as a stochastic optimization problem, aiming at maximizing the time average network utility while keeping the network stable. An online algorithm called Dynamic Energy-aware Power Allocation (DEPA) is proposed based on Lyapunov optimization, which does not need to acquire any statistical knowledge of channels and traffic arrivals. Simulation results show that compared with the power control scheme without energy cooperation, the proposed algorithm with energy cooperation can achieve higher network sum rate while reducing the delay and the required battery capacity.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2016. Vol. 5, 432-442 p.
Keyword [en]
Energy cooperation, millimeter wave, power control, online algorithm
National Category
Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-32567DOI: 10.1109/ACCESS.2016.2633723OAI: oai:DiVA.org:hh-32567DiVA: diva2:1051572
Available from: 2016-12-02 Created: 2016-12-02 Last updated: 2017-03-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Xu, BingyuVinel, Alexey
By organisation
Centre for Research on Embedded Systems (CERES)
In the same journal
IEEE Access
Communication SystemsTelecommunications

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 23 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf