148 citations · 756 across the 59 of their papers we have counts for
19 papers · 1 filter
On the Performance of Backhaul Constrained Cell-Free Massive MIMO with Linear Receivers
Manijeh Bashar, Hien Quoc Ngo, Alister G. Burr +3
Limited-backhaul cell-free Massive multiple-input multiple-output (MIMO), in which the fog radio access network (F-RAN) is implemented to exchange the information between access po…
Power Control for D2D Underlay in Multi-cell Massive MIMO Networks
Amin Ghazanfari, Emil Björnson, Erik G. Larsson
This paper proposes a new power control and pilot allocation scheme for device-to-device (D2D) communication underlaying a multi-cell massive MIMO system. In this scheme, the cellu…
Downlink Spectral Efficiency of Cell-Free Massive MIMO with Full-Pilot Zero-Forcing
Giovanni Interdonato, Marcus Karlsson, Emil Björnson +1
Cell-free Massive multiple-input multiple-output (MIMO) ensures ubiquitous communication at high spectral efficiency (SE) thanks to increased macro-diversity as compared cellular c…
What Role Can NOMA Play in Massive MIMO?
Kamil Senel, Hei Victor Cheng, Emil Björnson +1
This paper seeks to answer a simple but fundamental question: What role can NOMA play in massive MIMO? It is well-established that power-domain non-orthogonal multiple access (NOMA…
Humans and Machines can be Jointly Spatially Multiplexed by Massive MIMO
Kamil Senel, Emil Björnson, Erik G. Larsson
Future cellular networks are expected to support new communication paradigms such as machine-type communication (MTC) services along with conventional human-type communication (HTC…
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Meysam Sadeghi, Erik G. Larsson
Deep learning (DL), despite its enormous success in many computer vision and language processing applications, is exceedingly vulnerable to adversarial attacks. We consider the use…