10 papers
Physical Layer Deception as a Stackelberg Game: Strategy Regimes, Equilibrium, and Robust Design
Wenwen Chen, Bin Han, Yao Zhu +3
Physical layer deception (PLD) combines physical layer security (PLS) with deception: the transmitter actively misleads the eavesdropper with falsified information. We model the tr…
DF-3DRME: A Data-Friendly Learning Framework for 3D Radio Map Estimation based on Super-Resolution Technique
Lin Zhu, Weifeng Zhu, Shuowen Zhang +2
High-Resolution three-dimensional (3D) radio maps (RMs) provide rich information about the radio landscape that is essential to a myriad of wireless applications in the future wire…
Radio Map Prediction from Noisy Environment Information and Sparse Observations
Fabian Jaensch, ÃaÄkan Yapar, Giuseppe Caire +1
Many works have investigated radio map and path loss prediction in wireless networks using deep learning, in particular using convolutional neural networks. However, most assume pe…
Confusions and Erasures of Error-Bounded Block Decoders with Finite Blocklength
Bin Han, Yao Zhu, Rafael F. Schaefer +4
This paper investigates two distinct types of block errors - undetected errors (confusions) and erasures - in additive white Gaussian noise (AWGN) channels with error-bounded block…
Beam Index Map Prediction in Unseen Environments from Geospatial Data
Fabian Jaensch, Giuseppe Caire, Begüm Demir
In 5G, beam training consists of the efficient association of users to beams for a given beamforming codebook used at the base station and the given propagation environment in the…
SQ-GAN: Semantic Image Communications Using Masked Vector Quantization
Francesco Pezone, Sergio Barbarossa, Giuseppe Caire
This work introduces Semantically Masked Vector Quantized Generative Adversarial Network (SQ-GAN), a novel approach integrating semantically driven image coding and vector quantiza…