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.

翻译：本文提出Dyna-5G，一种专为大规模机器对机器网络设计的动态自组织5G新空口网络。传统5G NR网络采用集中式架构，在支持需要动态、去中心化通信的应用（如自动驾驶车辆和应急响应的无人机集群）时面临挑战。这些场景常受集中式模型单点故障的影响，削弱了关键及全自主应用所需的可靠性。Dyna-5G通过允许网络中每个设备充当无线接入网与核心网的一部分或用户设备，解决了这些挑战，从而在传统基础设施组件受损时仍能维持网络功能。Dyna-5G内置专为M2M网络精心设计的机制，如故障恢复与临时接入退出。我们通过模拟真实任务的定制测试平台验证了Dyna-5G的性能与可行性，展示了其网络鲁棒性、适应性与故障恢复能力。结果表明，我们的完整5G网络模型最多可在6秒内完全重组，且不影响任务执行。