Toward mobile communication baseband circuit auto-design: a Bayesian model approach
Zhang C, Li C H, Mao Y W, et al
Sci China Inf Sci, 2025, 68(12): 224301
Mobile communication networks represent the nextgeneration ubiquitous, intelligent, and converged information infrastructure. To meet exponentially evolving demands, mobile networks must provide different capabilities spanning four key dimensions: enhanced bandwidth scalability, massive machine-type connectivity, ultra-reliable network stability, and deterministic ultra-low latency—requiring comprehensive cross-scenario adaptability. Baseband (BB) circuits, serving as the central component in both base stations and end-user devices, represent the most technology-dense domain of mobile communication systems. Conventional development approaches rely on fragmented processes requiring specialized expertise, heavy R&D investment, and prolonged timelines, struggling to enable rapid customization capabilities. Therefore, forging an alternative pathway, this research proposes a Bayesian model-driven methodology for BB circuit auto-design—a paradigm shift in wireless system design automation.