154 citations · 680 across the 60 of their papers we have counts for
6 papers · 1 filter
From Literature to Insights: Methodological Guidelines for Survey Writing in Communications Research
Dusit Niyato, Octavia A. Dobre, Trung Q. Duong +2
The rapid growth of communications and networking research has created an unprecedented demand for high-quality survey and tutorial papers that can synthesize vast bodies of litera…
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…
AI-based CSI Feedback with Digital Twins: Real-World Validation and Insights
Tzu-Hao Huang, Chao-Kai Wen, Shang-Ho Tsai +1
Deep learning (DL) has shown great potential for enhancing channel state information (CSI) feedback in multiple-input multiple-output (MIMO) communication systems, a subject curren…
Geo2ComMap: Deep Learning-Based MIMO Throughput Prediction Using Geographic Data
Fan-Hao Lin, Tzu-Hao Huang, Chao-Kai Wen +1
Accurate communication performance prediction is crucial for wireless applications such as network deployment and resource management. Unlike conventional systems with a single tra…
Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks
Sarah Al-Shareeda, Fusun Ozguner, Keith Redmill +2
Task offloading management in 6G vehicular networks is crucial for maintaining network efficiency, particularly as vehicles generate substantial data. Integrating secure communicat…
GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication
Brian E. Arfeto, Shehbaz Tariq, Uman Khalid +2
We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial intelligence (AI), quantum comput…