6 papers · 1 filter
MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction
Aladin Djuhera, Haris Gacanin, Holger Boche
Recent works have demonstrated that attention-based transformer and large language model (LLM) architectures can achieve strong channel state prediction (CSP) performance by captur…
Variational Secret Common Randomness Extraction
Xinyang Li, Vlad C. Andrei, Peter J. Gu +3
This paper studies the problem of extracting common randomness (CR) or secret keys from correlated random sources observed by two legitimate parties, Alice and Bob, through public…
Computation of Capacity-Distortion-Cost Functions for Continuous Memoryless Channels
Xinyang Li, Ziyou Tang, Vlad C. Andrei +3
This paper aims at computing the capacity-distortion-cost (CDC) function for continuous memoryless channels, which is defined as the supremum of the mutual information between chan…
Exploiting Beamforming for Enforcing Semantic Secrecy in 5G NR mmWave Communications
Luis Torres-Figueroa, Johannes Voichtleitner, Ullrich J. Mönich +3
We experimentally investigate the performance of semantically-secure physical layer security (PLS) in 5G new radio (NR) mmWave communications during the initial cell search procedu…
Computing Capacity-Cost Functions for Continuous Channels in Wasserstein Space
Xinyang Li, Vlad C. Andrei, Ullrich J. Mönich +2
This paper investigates the problem of computing capacity-cost (C-C) functions for continuous channels. Motivated by the Kullback-Leibler divergence (KLD) proximal reformulation of…
A Simultaneous Decoding Approach to Joint State and Message Communications
Xinyang Li, Yiqi Chen, Vlad C. Andrei +3
The capacity-distortion (C-D) trade-offs for joint state and message communications (JSMC) over single- and multi-user channels are investigated, where the transmitters have access…