  In this work, we present Dyna-5G, a dynamic, self-organizing 5G New Radio
(5G-NR) network designed for massive Machine-to-Machine (M2M) networks.
Traditional 5G NR networks, characterized by their centralized architecture,
face challenges in supporting applications that require dynamic, decentralized
communication, such as autonomous vehicles and drone swarms for emergency
responses. These scenarios often suffer from the centralized model's single
point of failure, undermining the reliability required in critical and fully
autonomous applications. Dyna-5G addresses these challenges by allowing each
device in the network to function as either part of the Radio Access Network
(RAN) and Core Network, or as User Equipment (UE), thus maintaining network
functionality even when conventional infrastructure components are compromised.
Dyna-5G has built-in mechanisms carefully designed specifically for M2M
networks, such as failure-recovery and ad-hoc entry and exit. We demonstrate
the performance and feasibility of Dyna-5G using a custom-built testbed that
simulates real-world missions, demonstrating our network's robustness,
adaptability, and failure recovery capabilities. The results indicate that our
entire 5G network model can fully re-organize in 6 seconds at maximum, without
compromising the mission.
