Mmtag: A millimeter wave backscatter network

MH Mazaheri, A Chen, O Abari - … of the 2021 ACM SIGCOMM 2021 …, 2021 - dl.acm.org
Recent advances in IoT, machine learning and cloud computing have placed a huge strain
on wireless networks. In particular, many emerging applications require streaming rich …

Line-of-sight and non-line-of-sight links for dispersive terahertz wireless networks

Y Ghasempour, Y Amarasinghe, CY Yeh, E Knightly… - APL Photonics, 2021 - pubs.aip.org
Despite the rapidly growing interest in exploiting millimeter and terahertz waves for wireless
data transfer, the role of reflected non-line-of-sight (NLOS) paths in wireless networking is …

mmRAPID: Machine learning assisted noncoherent compressive millimeter-wave beam alignment

H Yan, BW Domae, D Cabric - Proceedings of the 4th ACM Workshop on …, 2020 - dl.acm.org
Millimeter-wave communication has the potential to deliver orders of magnitude increases in
mobile data rates. A key design challenge is to enable rapid beam alignment with phased …

Wavefront manipulation attack via programmable mmWave metasurfaces: from theory to experiments

H Chen, H Saeidi, S Venkatesh, K Sengupta… - Proceedings of the 16th …, 2023 - dl.acm.org
Reconfigurable surfaces enable on-demand manipulation of electromagnetic wave
properties in a controllable manner. These surfaces have been shown to enhance mmWave …

Machine learning assisted phase-less millimeter-wave beam alignment in multipath channels

BW Domae, R Li, D Cabric - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Communication systems at millimeter-wave (mmW) and sub-terahertz frequencies are of
increasing interest for future high-data rate networks. One critical challenge faced by phased …

Fast beam training for FDD multi-user massive MIMO systems with finite phase shifter resolution

K Xu, FC Zheng, P Cao, H Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A fast beam training scheme for the massive antenna arrays is a key to frequency division
duplex (FDD) mmWave systems, as channel reciprocity between the down-link (DL) and up …

[HTML][HTML] A Two-Phase Deep Learning Approach to Link Quality Estimation for Multiple-Beam Transmission

MS Kim - Electronics, 2024 - mdpi.com
In the multi-user multiple-input-multiple-output (MU-MIMO) beamforming (BF) training
defined by the 802.11 ay standard, since a single initiator transmits a significant number of …

A deep neural network based MU-MIMO beamforming training protocol for IEEE 802.11 ay

MS Kim, T Ropitault, SK Lee, JH Choi… - Journal of …, 2022 - ieeexplore.ieee.org
IEEE 802.11 ay supports a multi-user multiple-input-multiple-output (MU-MIMO)
beamforming training (BFT); hence, an access point (AP) can perform data transmissions …

A link quality estimation-based beamforming training protocol for IEEE 802.11 ay MU-MIMO communications

MS Kim, T Ropitault, S Lee, N Golmie… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The multi-user multiple-input-multiple-output (MU-MIMO) beamforming training (BFT)
enables an access point (AP) and multiple stations (STAs) to determine appropriate …

A Detailed Look at MIMO Performance in 60 GHz WLANs

S Aggarwal, SK Neelamraju, A Bhat… - Proceedings of the ACM …, 2022 - dl.acm.org
One of the key enhancements in the upcoming 802.11 ay standard for 60 GHz WLANs is the
support for simultaneous transmissions of up to 8 data streams via SU-and MU-MIMO, which …