1 citations · 1 across the 14 of their papers we have counts for
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A Deep Unfolding-Based Scalarization Approach for Power Control in D2D Networks
Jan Christian Hauffen, Peter Jung, Giuseppe Caire
Optimizing network utility in device-to-device networks is typically formulated as a non-convex optimization problem. This paper addresses the scenario where the optimization varia…
A Semantic Model for Physical Layer Deception
Bin Han, Yao Zhu, Anke Schmeink +2
Physical layer deception (PLD) is a novel security mechanism that combines physical layer security (PLS) with deception technologies to actively defend against eavesdroppers. In th…
Radio Map Prediction from Aerial Images and Application to Coverage Optimization
Fabian Jaensch, Giuseppe Caire, Begüm Demir
Several studies have explored deep learning algorithms to predict large-scale signal fading, or path loss, in urban communication networks. The goal is to replace costly measuremen…
Physical Layer Deception with Non-Orthogonal Multiplexing
Wenwen Chen, Bin Han, Yao Zhu +3
Physical layer security (PLS) is a promising technology to secure wireless communications by exploiting the physical properties of the wireless channel. However, the passive nature…
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
Bile Peng, Bihan Guo, Karl-Ludwig Besser +6
Millimeter wave (mmWave) cell-free massive MIMO (CF mMIMO) is a promising solution for future wireless communications. However, its optimization is non-trivial due to the challengi…
Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments
Fabian Jaensch, Giuseppe Caire, Begüm Demir
Over the last years, several works have explored the application of deep learning algorithms to determine the large-scale signal fading (also referred to as ``path loss'') between…