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 …
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
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 …
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
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 …
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
Reconfigurable surfaces enable on-demand manipulation of electromagnetic wave
properties in a controllable manner. These surfaces have been shown to enhance mmWave …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
support for simultaneous transmissions of up to 8 data streams via SU-and MU-MIMO, which …