Millimeter Wave Energy Harvesting

Talha Ahmed Khan, Ahmed Alkhateeb, Robert W. Heath

Research output: Contribution to journalArticle

43 Citations (Scopus)

Abstract

The millimeter wave (mmWave) band, a prime candidate for 5G cellular networks, seems attractive for wireless energy harvesting since it will feature large antenna arrays and extremely dense base station (BS) deployments. The viability of mmWave for energy harvesting though is unclear, due to the differences in propagation characteristics, such as extreme sensitivity to building blockages. This paper considers a scenario where low-power devices extract energy and/or information from the mmWave signals. Using stochastic geometry, analytical expressions are derived for the energy coverage probability, the average harvested power, and the overall (energy-and-information) coverage probability at a typical wireless-powered device in terms of the BS density, the antenna geometry parameters, and the channel parameters. Numerical results reveal several network and device level design insights. At the BSs, optimizing the antenna geometry parameters, such as beamwidth, can maximize the network-wide energy coverage for a given user population. At the device level, the performance can be substantially improved by optimally splitting the received signal for energy and information extraction, and by deploying multi-antenna arrays. For the latter, an efficient low-power multi-antenna mmWave receiver architecture is proposed for simultaneous energy and information transfer. Overall, simulation results suggest that mmWave energy harvesting generally outperforms lower frequency solutions.

Original languageEnglish (US)
Article number7491259
Pages (from-to)6048-6062
Number of pages15
JournalIEEE Transactions on Wireless Communications
Volume15
Issue number9
DOIs
StatePublished - Sep 1 2016
Externally publishedYes

Fingerprint

Energy Harvesting
Millimeter Wave
Energy harvesting
Millimeter waves
Antenna
Energy
Antenna Arrays
Coverage Probability
Antennas
Antenna arrays
Base stations
Geometry
Stochastic Geometry
Information Transfer
Information Extraction
Energy Transfer
Cellular Networks
Viability
Low Frequency
Extremes

Keywords

  • energy coverage
  • energy harvesting
  • Millimeter wave
  • simultaneous wireless information and energy transfer
  • stochastic geometry
  • wireless power transfer

ASJC Scopus subject areas

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

Cite this

Millimeter Wave Energy Harvesting. / Khan, Talha Ahmed; Alkhateeb, Ahmed; Heath, Robert W.

In: IEEE Transactions on Wireless Communications, Vol. 15, No. 9, 7491259, 01.09.2016, p. 6048-6062.

Research output: Contribution to journalArticle

Khan, Talha Ahmed ; Alkhateeb, Ahmed ; Heath, Robert W. / Millimeter Wave Energy Harvesting. In: IEEE Transactions on Wireless Communications. 2016 ; Vol. 15, No. 9. pp. 6048-6062.
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