This paper introduces packetized energy management (PEM) as a framework for transforming 6G infrastructure into energy-aware, grid-interactive assets.

This paper measures the interference of a commercial Very Low Power Wi-Fi 6E/7 device on a live 5G New Radio system using an SDR testbed and records throughput, block error rate, and signal-to-noise r…

This paper proposes IOHMM-BO, a method using a high-order input-output hidden Markov model with Bayesian optimization for predictive dynamic power management in 5G NR user equipment, achieving 43% ene…

This paper proposes an arbiter for resolving conflicts between xApps in Open RAN by monitoring the fidelity of a network digital twin and switching between actions based on observed utility.

This paper proposes a new approach for designing Radio Access Network (RAN) slices in 5G and beyond networks using descriptors that consider both transmission rate and latency requirements to support…

This paper presents a tutorial-and-survey on integrating agentic AI into Next-Generation Networks (NGNs), addressing the gap in protocol integration, evaluation, and standardization alignment.

This paper proposes Autogenic network management, a self-programming extension to agentic AI for next-generation network management in 6G networks.

This paper provides a comprehensive review of the security vulnerabilities and privacy challenges inherent in the Open Radio Access Network (O-RAN) architecture for the 6G era, systematically categori…

This paper argues for a new approach to designing sixth-generation mobile networks, prioritizing control, customer outcomes, business guarantees, software-driven operations, and technology.

This paper proposes a protocol framework for making the 6G air interface AI-native, focusing on interoperability and preserving implementation freedom.

This paper proposes an architecture for privacy-preserving intent fulfilment and assurance in 6G networks using a coordinator and aggregate PM counters.

This paper proposes a holistic design framework for a wireless-powered SC3 system using satellite RF signals, optimizing energy transfer, communication, and computing processes.

The paper proposes a Digital Twin-assisted Adaptive Multi-Agent Deep Reinforcement Learning framework to intelligently manage spectrum and resources in complex, dynamic Open-RAN 6G networks utilizing…

This paper investigates the latency performance of Mobile Edge Computing (MEC) on a 5G cellular network for real-time power transmission line analytics, demonstrating a low latency of 44.62 ms compare…

ETSI ISG MAT report compares 3GPP-specified and candidate downlink multiple access techniques for 3GPP-based 6G systems, assessing their spectral efficiency and implications.