• DocumentCode
    3664859
  • Title

    Efficient network level beamforming training for IEEE 802.11ad WLANs

  • Author

    Anique Akhtar;Sinem Coleri Ergen

  • Author_Institution
    Department of Electrical and Electronics Engineering, KOC University Istanbul, Turkey
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Millimeter-wave (mmWave) communication is a promising technology that enables high rate (Giga-bit) multi-media applications. In this paper, we consider the directional multigigabit (DMG) transmission problem in IEEE 802.11ad wireless local area network (WLAN). We propose an amendment to the original MAC design of IEEE 802.11ad to eliminate the need to perform beamforming training during station (STA) to STA communication. During A-BFT access period, all STAs beamform with the Access Point (AP) using different time slots. Our mechanism makes STAs listen to other STAs beamform with the AP. We call this Intelligent Listening during A-BFT (ILA). Using this mechanism, each DMG STA can listen to other DMG STAs sector sweep with the AP and get their approximate beam direction which is later used during STA-STA beamforming to considerably reduce the beamforming overhead. We demonstrate via simulations that ILA mechanism considerably improves the network throughput at higher network size.
  • Keywords
    "Array signal processing","Training","Schedules","Wireless LAN","Throughput","Antenna arrays","Receivers"
  • Publisher
    ieee
  • Conference_Titel
    Performance Evaluation of Computer and Telecommunication Systems (SPECTS), 2015 International Symposium on
  • Type

    conf

  • DOI
    10.1109/SPECTS.2015.7285289
  • Filename
    7285289