This paper proposes an Integrated Channel Sounding and Communication (ICSC) framework that deeply integrates channel sounding and communication to address limitations of traditional channel modeling in dynamic, complex wireless networks like SAGSIN. ICSC enables real-time acquisition of channel characteristics, intelligent scenario identification, and adaptive waveform optimization to enhance communication performance and establish comprehensive channel model libraries.

This paper provides a comprehensive review of 3GPP standardization efforts for integrating AI/ML into mobile networks, focusing on Release 18 and upcoming Release 19. It outlines the general AI/ML framework, key use cases, and identifies significant challenges in dataset preparation, generalization evaluation, and model selection.

This paper addresses the terminological fragmentation in fault-tolerant redundancy by providing a structured survey focused on Triple Modular Redundancy (TMR). It establishes a unified taxonomy for redundancy techniques and a novel framework for voter architectures, offering practical design insights and identifying key research gaps for dependable computing.

This paper introduces a novel approach for detecting synthetic fingerprints, framing it as a continual few-shot adaptation problem. It proposes using a combination of binary cross-entropy and supervised contrastive losses with experience replay to enable rapid adaptation to new synthetic data styles while mitigating catastrophic forgetting.

This paper introduces a novel PCA sweep procedure for Supervised Semantic Differential (SSD), a method modeling how text meaning varies with individual differences. The sweep systematically selects the optimal number of PCA components to ensure interpretable and stable semantic gradients, illustrated through a case study on AI discourse related to narcissism.