30 citations · 37 across the 6 of their papers we have counts for
6 papers
Reinforcement Learning-based Joint Handover and Beam Tracking in Millimeter-wave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Jens Zander +1
In this paper, we develop an algorithm for joint handover and beam tracking in millimeter-wave (mmWave) networks. The aim is to provide a reliable connection in terms of the achiev…
Beam Alignment Using Trajectory Information in Mobile Millimeter-wave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Jens Zander +1
Millimeter-wave and terahertz systems rely on beamforming/combining codebooks to determine the best beam directions during the initial access and data transmission. Existing approa…
Location-Aided Beamforming in Mobile Millimeter-Wave Networks
Sara Khosravi, Hossein S. Ghadikolaeiy, Jens Zander +1
Due to the large bandwidth available, millimeter-Wave (mmWave) bands are considered a viable opportunity to significantly increase the data rate in cellular and wireless networks.…
Learning-based Load Balancing Handover in Mobile Millimeter Wave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
Millimeter-wave (mmWave) communication is a promising solution to the high data rate demands in the upcoming 5G and beyond communication networks. When it comes to supporting seaml…
Learning-based Handover in Mobile Millimeter-wave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
Millimeter-wave (mmWave) communication is considered as a key enabler of ultra-high data rates in the future cellular and wireless networks. The need for directional communication…
Efficient Beamforming for Mobile mmWave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
We design a lightweight beam-searching algorithm for mobile millimeter-wave systems. We construct and maintain a set of path skeletons, i.e., potential paths between a user and the…