Researchers have developed DEBKA, a training-free hybrid optimization algorithm that significantly enhances spectral efficiency and accelerates convergence in simulated 6G ...
A comprehensive review examines how artificial intelligence operates as an architectural building block across nine foundational domains in emerging 6G ...
Researchers have demonstrated zero-bias terahertz geometric rectennas fabricated from scalable chemical vapor deposition graphene, using parallel multi-funnel architectures to significantly ...
A systematic review compares 5G deployment realities against envisioned 6G network architectures to evaluate their capacity for supporting immersive metaverse ...
Computer scientists have developed an ensemble machine learning framework combining Boruta feature selection and XGBoost that achieves 98.78 percent accuracy ...
Computational modeling reveals that discrete rectangular antenna arrays can generate orbital angular momentum vortex waves capable of achieving high line-of-sight ...
Researchers have numerically modeled a compact graphene-based terahertz MIMO antenna incorporating a photonic band gap substrate and decoupling wall to ...
A narrative review argues that carbon-neutral 6G wireless networks require integrating AI-driven optimization, green radio-frequency hardware, and lifecycle sustainability assessment ...
A comprehensive review of more than 200 peer-reviewed publications examines how communication protocols, security frameworks, AI, blockchain and quantum technologies ...
A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...
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