6g

ANP has been listed as a candidate protocol in 3GPP’s study of AI protocols for 6G, highlighting advancements in AI integration for future networks.

This paper presents a systematic machine learning study of 6G-IoT beamforming optimization, comparing network, environmental, device, and vision feature groups for predictive power, and applying clustering methods to enhance performance.

3GPP has completed Release 19, the second 5G-Advanced specification, setting the stage for future 6G studies in Release 20.

Proposes a VAE-based multi-task semantic communication framework for satellite-assisted autonomous driving, achieving significant bandwidth reduction while maintaining performance for traffic sign reconstruction and classification.

This paper presents a tutorial on using Joint-Embedding Predictive Architecture (JEPA) for self-supervised learning in 6G networks, along with a beam management case study and open challenges.

This survey classifies 78 joint OFDM-RIS optimization works into four paradigms, from convex relaxation to foundation models, and identifies open challenges for 6G networks.

This paper proposes a randomized anchoring strategy to mitigate anchoring bias in LLM-based agents for energy-efficient 6G autonomous networks, achieving up to 25% energy savings using a lightweight 1B-parameter model.

This paper presents an open-source NWDAF compatible with Free5GC that integrates an LLM interface for natural language interaction and intent-based network management, aiming toward AI-native 6G networks.

PilotWiMAE introduces a self-supervised framework that directly ingests noisy pilot observations for wireless channel representation learning, removing the unrealistic full-CSI assumption and enabling robust cross-frequency beam selection and channel estimation that beats supervised baselines.

This paper presents a visionary framework for AI-native 6G networks, proposing a unified foundation model and collaborative multi-agent systems to achieve autonomous, resilient network management beyond fragmented 5G approaches.