Virtualizing RAN: Science, Strategy, and Architecture of Software-Defined Mobile Networks

TL;DR

This paper presents an integrated perspective on virtualizing RAN, combining science, technology, business, and culture, with case studies, analytic bounds, and strategic recommendations for 5G and 6G networks.

Contribution

It offers a comprehensive framework for RAN virtualization, including technical enablers, capacity bounds, automation strategies, and future planning for 6G evolution.

Findings

Software-defined carrier aggregation improves coverage and churn.

GPU/FPGA off-load and digital-twin automation keep latency within 0.5 ms.

vRAN cycle time can be reduced by an order of magnitude.

Abstract

Virtualizing the Radio-Access Network (RAN) is increasingly viewed as an enabler of affordable 5G expansion and a stepping-stone toward AI-native 6G. Most discussions, however, still approach spectrum policy, cloud engineering and organizational practice as separate topics. This paper offers an integrated perspective spanning four pillars -- science, technology, business strategy and culture. A comparative U.S.\ case study illustrates how mid-band contiguity, complemented by selective mmWave capacity layers, can improve both coverage and churn when orchestrated through software-defined carrier aggregation. We derive analytic capacity and latency bounds for Split 7.2 $\times$ vRAN/O-RAN deployments, quantify the throughput penalty of end-to-end 256-bit encryption, and show how GPU/FPGA off-load plus digital-twin-driven automation keeps the hybrid-automatic-repeat request (HARQ) round-trip within a 0.5 ms budget. When these technical enablers are embedded in a physics-first delivery roadmap, average vRAN cycle time drops an order of magnitude -- even in the presence of cultural head-winds such as dual-ladder'' erosion. Three cybernetic templates -- the Clock-Hierarchy Law, Ashby's Requisite Variety and a delay-cost curve -- are then used to explain why silo-constrained automation can amplify, rather than absorb, integration debt. Looking forward, silicon-paced 6G evolution (9-12 month node shrinks, sub-THz joint communication-and-sensing, chiplet architectures and optical I/O) calls for a dual-resolution planning grid that couples five-year spectrum physics with six-month silicon sprints.'' The paper closes with balanced, action-oriented recommendations for operators, vendors and researchers on sub-THz fronthaul, AI-native security, energy-proportional accelerators and zero-touch assurance.