4 papers
JEPA for AI-Native 6G: Predictive Representations and Open Challenges
Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla +9
Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition req…
Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence
Junaid Sajid, Sheikh Salman Hassan, Wenshuai Liu +7
Embodied artificial intelligence (AI) couples perception and learned decision making to actions that change the physical world. This coupling distinguishes an embodied agent from a…
Domain-Aware Hybrid Quantum Learning via Correlation-Guided Circuit Design for Crime Pattern Analytics
Niloy Das, Apurba Adhikary, Sheikh Salman Hassan +4
Crime pattern analysis is critical for law enforcement and predictive policing, yet the surge in criminal activities from rapid urbanization creates high-dimensional, imbalanced da…
A Robust Design for BackCom Assisted Hybrid NOMA
Muhammad Fainan Hanif, Le-Nam Tran, Zhiguo Ding +1
Hybrid non-orthogonal multiple access (H-NOMA) is inherently an enabler of massive machine type communications, a key use case for sixth-generation (6G) systems. Together with back…