STS Adaptation for Beamforming Training of Asymmetric Links in IEEE 802.11ay-based Dense Networks

Yena Kim, Su Kyoung Lee, Tanguy Ropitault

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

1 Citation (Scopus)


IEEE 802.11ay introduced Beamforming (BF) for asymmetric links in its D0.3 release. The BF for asymmetric links aims to increase the BF Training (BFT) success probability for Stations (STAs) with insufficient link budget to communicate with an Access-Point (AP). For the BFT of asymmetric links, the AP schedules BFT allocations that use directional reception instead of quasi-omni reception to yield extra-gain on the AP's side. Each BFT allocation consists of a number of Space-time Slots (STSs) and each STA randomly selects a STS to perform its BFT. In dense environments, a large number of STAs contends for a limited number of STSs, leading to collisions. The level of collision directly depends on the number of STSs. However, there is no specification on how to adjust the number of STSs of each BFT allocation depending on network conditions. In this paper, we propose a COllision-aware STS Adaptation (COSA) scheme for IEEE 802.11ay dense environments that allows the AP to assign the optimal number of STSs for each BFT allocation based on the observed STS status. Simulation results show that COSA achieves better performance than the traditional BFT for asymmetric links in terms of BFT success ratio and BFT time while decreasing the overhead generated by the BFT allocations.

Original languageEnglish
Title of host publication2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728152073
Publication statusPublished - 2020 May
Event91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, Belgium
Duration: 2020 May 252020 May 28

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference91st IEEE Vehicular Technology Conference, VTC Spring 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

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


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