11 papers
PRISM: Decision-Centric Predictive Sensing for Cognitive Digital Twins in 6G
Afan Ali, Daniel Benevides da Costa, Ali Arshad Nasir
Integrated sensing and communication (ISAC) and Digital Twin (DT) technology have emerged as complementary for future wireless networks that require autonomous operations involving…
GenAI-Enhanced Digital Twins for Predictive Interference Management in Ultra-Dense Networks
Afan Ali, Ali Arshad Nasir, Daniel Benevides da Costa
Ultra-dense indoor next-generation networks suffer severe interference from mobility-induced blockages and localized multi-user hotspots that conventional digital twins~(DTs) canno…
A Knowledge-Centric Communication For Autonomous Cislunar Networks
Afan Ali, Daniel Benevides da Costa, Ali Arshad Nasir
Future lunar infrastructure requires communication as a persistent service rather than a mission specific capability. Communication, digital twin, and artificial intelligence (AI)…
Redefining Digital Twins as Predictive Decision Engines for AI-Native Wireless Networks
Afan Ali, Ali Arshad Nasir, Naveed Iqbal +1
Future artificial intelligence (AI)-native 6G networks require wireless systems that move beyond reactive optimization toward autonomous, predictive, and continuously adaptive inte…
Cognitive Digital Twins for Self-Aware Channel Estimation
Afan Ali, Ali Arshad Nasir, Daniel Benevides da Costa
Artificial intelligence (AI) and machine learning (ML)-based channel estimators silently degrade when propagation conditions drift from their training distributions. This letter pr…
A Generative AI-Enhanced Digital Twin Framework for Proactive Interference Management in Hybrid Near/Far-Field Wireless Systems
Afan Ali, Ali Arshad Nasir, Daniel Benevides da Costa
The applications of Digital Twins (DT) and Generative AI (GenAI) have demonstrated their capabilities in modeling and learning-based wireless communications. However, their joint p…
SkyTrust: Blockchain-Enhanced UAV Security for NTNs with Dynamic Trust and Energy-Aware Consensus
Afan Ali, Irfanullah Khan
Non-Terrestrial Networks (NTNs) based on Unmanned Aerial Vehicles (UAVs) as base stations are extremely susceptible to security attacks due to their distributed and dynamic nature,…
TinyML-Based Adaptive Pulse Shaping for Edge Intelligence in IoT/IIoT
Afan Ali
Edge intelligence in IoT and IIoT demands lightweight algorithms for data processing on resource-constrained devices. This paper introduces a novel adaptive pulse shape filter base…
AI-Driven Digital Twins: Optimizing 5G/6G Network Slicing with NTNs
Afan Ali, Huseyin Arslan
Network slicing in 5G/6G Non-Terrestrial Network (NTN) is confronted with mobility and traffic variability. An artificial intelligence (AI)-based digital twin (DT) architecture wit…
Spreading the Wave: Low-Complexity PAPR Reduction for AFDM and OCDM in 6G Networks
Afan Ali, Abdelali Arous, Huseyin Arslan
High Peak-to-Average Power Ratio (PAPR) is still a common issue in multicarrier signal modulation systems such as Orthogonal Chirp Division Multiplexing (OCDM) and Affine Frequency…
Stealth Signals: Multi-Discriminator GANs for Covert Communications Against Diverse Wardens
Afan Ali, Md. Jalil Piran, Huseyin Arslan
Covert wireless communications are critical for concealing the existence of any transmission from adversarial wardens, particularly in complex environments with multiple heterogene…