18 papers
Learning Energy-Efficient Modular Arrays under Hardware Non-linearities
Ãzlem TuÄfe Demir, Alva Kosasih
This paper investigates the joint optimization of power allocation and antenna activation in sparse extremely large aperture array systems operating under power amplifier non-linea…
Performance Evaluation of Movable Antenna Arrays in Wideband Multi-User MIMO Systems
Amna Irshad, Emil Björnson, Alva Kosasih +1
Future wireless networks are expected to support increasingly high data rates and user densities, motivating advanced multi-antenna architectures capable of adapting to dynamic pro…
Quantized Precoding for Maximizing Sum Rate in MU-MIMO Systems with Constrained Fronthaul
Yasaman Khorsandmanesh, Alva Kosasih, Emil Björnson +1
This paper studies a downlink multi-user multiple-input multiple-output (MU-MIMO) system, where the precoding matrix is computed at a baseband unit (BBU) and then transmitted to th…
Graph Neural Network-based End-to-End Learning for Multi-User MIMO Systems
Hao Chang, Hoang Triet Vo, Alva Kosasih +2
End-to-end (E2E) learning has recently been proposed to jointly design the modulator and symbol detector by using deep neural networks (DNNs). However, existing schemes lack suffic…
Maximum A Posteriori Probability Channel Tracking with an Intelligent Transmitting Surface
Parisa Ramezani, Alva Kosasih, Emil Björnson
This paper considers an intelligent transmitting surface (ITS) integrated into a base station and develops a low-overhead maximum a posteriori (MAP) probability channel tracking me…
From Antenna Abundance to Antenna Intelligence in 6G Gigantic MIMO Systems
Emil Björnson, Amna Irshad, Ãzlem Tugfe Demir +3
Current cellular systems achieve high spectral efficiency through Massive MIMO, which leverages an abundance of antennas to create favorable propagation conditions for multiuser sp…