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

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…

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

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

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

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…

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

This paper proposes a self-adaptive channel assignment framework using Q-learning to optimize system throughput, user fairness, and interference mitigation.

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.