This paper proposes a simplified Temporal Convolutional Network-based estimator to improve channel estimation in vehicular communication.

This paper proposes a framework for multi-site channel charting in wireless networks using topological signal processing, enabling coherent integration of locally learned representations into a shared…

The paper proposes a lightweight Temporal Convolutional Network (TCN) that incorporates physical motion-aware attention mechanisms to efficiently and effectively perform WiFi CSI-based Human Activity…

This paper proposes a model for cross-band CSI reconstruction in multi-band low-altitude wireless systems using radio-frequency metadata and pilot-guided cross-attention.

This paper proposes a generative AI framework using a cGAN for proactive interference mitigation in ultra-dense indoor networks, achieving significant SINR gain, packet-loss reduction, and CSI oracle…

Researchers present DoSQ, a protocol-aware attack that decodes Downlink Control Information (DCI) to degrade Application layer service quality in 5G NR systems, achieving up to 50% Goodput reduction a…

The paper introduces BFIAttack, a novel attack that exploits Beamforming Feedback Information (BFI) to reconstruct a user's Channel State Information (CSI), thereby compromising Wi-Fi physical-layer s…

This paper proposes a tensor-structured multi-domain channel extrapolation framework to reduce pilot overhead in upper mid-band massive MIMO systems, using a Tucker-based SFT-domain signal model and a…

This paper characterizes the impact of ETSI Decentralized Congestion Control (DCC) on age of information (AoI) for vehicle-to-infrastructure updates, revealing a hyperbolic density dependence and prop…

This paper proposes a hierarchical analytical framework to characterize region-level latency differences in Low-Earth orbit satellite Internet using Starlink RTT measurements.

This paper proposes IOHMM-BO, a method using a high-order input-output hidden Markov model with Bayesian optimization for predictive dynamic power management in 5G NR user equipment, achieving 43% ene…

This paper proposes a physical layer authentication mechanism using integrated sensing and communication (ISAC) to reconstruct environment layout, infer propagation channels, and authenticate transmit…

This paper evaluates the security of industrial control systems (ICS) transitioning to 5G communication, finding that while optimal conditions allow for resilience, degraded channel conditions signifi…

The paper proposes a channel prediction-based Physical Layer Authentication (PLA) framework using a Transformer module to maintain robust authentication accuracy against consecutive spoofing attacks i…

The paper proposes DRIFT, a lightweight joint channel estimation and prediction framework, to significantly reduce pilot overhead and boost spectral efficiency in power-constrained LEO Non-Terrestrial…

The paper investigates undetectable command and control (C2) channels within 5G core networks, demonstrating how compromised components can enable sophisticated attacks against subscriber security and…

A novel beam-domain channel estimation method for mmWave MIMO is proposed using sub-6 GHz beam-domain information for improved accuracy.

This paper proposes a self-adaptive channel assignment framework using Q-learning to optimize system throughput, user fairness, and interference mitigation.