1 citations · 1 across the 14 of their papers we have counts for
5 papers · 1 filter
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…