Energy-Efficient mm-Wave Backhauling via Frame Aggregation in Wide Area Networks

Varun Amar Reddy*, Gordon L. Stuber, Suhail Al-Dharrab, Wessam Mesbah, Ali Hussein Muqaibel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Wide area networks for surveying applications, such as seismic acquisition, have been witnessing a significant increase in node density and area, where large amounts of data have to be transferred in real-time. While cables can meet these requirements, they account for a majority of the equipment weight, maintenance, and labor costs. A novel wireless network architecture, compliant with the IEEE 802.11ad standard, is proposed for establishing scalable, energy-efficient, and gigabit-rate backhaul across very large areas. Statistical path-loss and line-of-sight models are derived using real-world topographic data in well-known seismic regions. Additionally, a cross-layer analytical model is derived for 802.11 systems that can characterize the overall latency and power consumption under the impact of co-channel interference. On the basis of these models, a Frame Aggregation Power-Saving Backhaul (FA-PSB) scheme is proposed for near-optimal power conservation under a latency constraint, through a duty-cycled approach. A performance evaluation with respect to the survey size and data generation rate reveals that the proposed architecture and the FA-PSB scheme can support real-time acquisition in large-scale high-density scenarios while operating with minimal power consumption, thereby enhancing the lifetime of wireless seismic surveys. The FA-PSB scheme can be applied to cellular backhaul and sensor networks as well.

Original languageEnglish
Pages (from-to)6954-6970
Number of pages17
JournalIEEE Transactions on Wireless Communications
Volume20
Issue number10
DOIs
StatePublished - 1 Oct 2021

Bibliographical note

Publisher Copyright:
© 2002-2012 IEEE.

Keywords

  • Wireless LAN
  • frame aggregation
  • millimeter wave
  • power saving
  • seismic measurements
  • wide area networks
  • wireless backhaul
  • wireless geophone networks
  • wireless mesh networks

ASJC Scopus subject areas

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

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