1 citations · 1 across the 14 of their papers we have counts for
17 papers
Litter-Masked Block z-Channel: Designing Cover Distributions Against Public-Design Observers
Bin Han, Wenwen Chen, Yao Zhu +3
Networking defenses against traffic analysis fill idle slots with cover traffic, yet the physical layer carrying it still hands upper layers the erasure-only model of a silent-idle…
Block Erasure Channel and Block z-Channel with Bounded Decoders and Finite Blocklength
Bin Han, Yao Zhu, Rafael F. Schaefer +5
Block error rate is a standard metric in finite blocklength (FBL) communication, yet it conflates two qualitatively different failure modes: block confusions, where the decoder sel…
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, Çağkan 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…
Robustness of Covariance Estimators with Application in Activity Detection
Hendrik Bernd Zarucha, Peter Jung, Giuseppe Caire
The first part of this work considers a general class of covariance estimators. Each estimator of that class is generated by a real-valued function and a set of model covarianc…
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…
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…
Deep Unfolding of Fixed-Point Based Algorithm for Weighted Sum Rate Maximization
Jan Christian Hauffen, Chee Wei Tan, Giuseppe Caire
In this paper, we propose a novel approach that harnesses the standard interference function, specifically tailored to address the unique challenges of non-convex optimization in w…
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…
The First Pathloss Radio Map Prediction Challenge
Çağkan Yapar, Fabian Jaensch, Ron Levie +2
To foster research and facilitate fair comparisons among recently proposed pathloss radio map prediction methods, we have launched the ICASSP 2023 First Pathloss Radio Map Predicti…