collaborators

11 papers

eess.SP2026

Beyond the RF Paradigm: Rydberg Atomic Receivers for Next-Generation IoT

Qihao Peng, Qu Luo, Dongnan Xia +11

Next-generation Internet-of-Things (IoT) is evolving toward a ubiquitous, ultra-low-power, and multi-band heterogeneous networking paradigm that seamlessly integrates terrestrial,…

eess.SP2026

Environment-Aware Network-Level Design of Generalized Pinching-Antenna Systems--Part II: Geometry-Aware Case

Yanqing Xu, Zhiguo Ding, Xiu Yin Zhang +2

This two-part paper aims to develop an environment-aware network-level design framework for generalized pinching-antenna systems to overcome the limitations of conventional link-le…

eess.SP2026

Environment-Aware Network-Level Design of Generalized Pinching-Antenna Systems--Part I: Traffic-Aware Case

Yanqing Xu, Zhiguo Ding, Xiu Yin Zhang +2

Existing studies on generalized pinching-antenna systems are predominantly link-level, which optimize system parameters for a given user set with objectives defined by per-user per…

eess.SP2026

Comparative Analysis of Differential and Collision Entropy for Finite-Regime QKD in Hybrid Quantum Noisy Channels

Mouli Chakraborty, Subhash Chandra, Avishek Nag +3

In this work, a comparative study between three fundamental entropic measures, differential entropy, quantum Renyi entropy, and quantum collision entropy for a hybrid quantum chann…

cs.NI2026

Unleashing Tool Engineering and Intelligence for Agentic AI in Next-Generation Communication Networks

Yinqiu Liu, Ruichen Zhang, Dusit Niyato +3

Nowadays, agentic AI is emerging as a transformative paradigm for next-generation communication networks, promising to evolve large language models (LLMs) from passive chatbots int…

stat.ML2025

To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks

Rashika Raina, Nidhi Simmons, David E. Simmons +2

In next-generation communications and networks, machine learning (ML) models are expected to deliver not only accurate predictions but also well-calibrated confidence scores that r…