activity
20102023
most citedLearning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems

109 citations · 308 across the 30 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.NI2022★ 2 cited

BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection

Milad Ganjalizadeh, Hossein Shokri Ghadikolaei, Deniz Gündüz +1

Recent advances in distributed intelligence have driven impressive progress across a diverse range of applications, from industrial automation to autonomous transportation. Neverth…

eess.SP2022

Soft Handover Procedures in mmWave Cell-Free Massive MIMO Networks

Mahmoud Zaher, Emil Björnson, Marina Petrova

This paper considers a mmWave cell-free massive MIMO (multiple-input multiple-output) network composed of a large number of geographically distributed access points (APs) simultane…

cs.NI2022

Interplay between Distributed AI Workflow and URLLC

Milad Ganjalizadeh, Hossein S. Ghadikolaei, Johan Haraldson +1

Distributed artificial intelligence (AI) has recently accomplished tremendous breakthroughs in various communication services, ranging from fault-tolerant factory automation to sma…

cs.IT2022

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…

eess.SY2022★ 2 cited

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.…