The rapid rollout of 5G and the evolution of LTE networks have created a highly complex system that necessitates robust, scalable, and intelligence benchmarking and certification policies. This review highlighted the ongoing methodologies, challenges, and technology innovations that drive performance validation within these networks. With the emergence of software-defined infrastructures, network slicing, AI-driven orchestration, and digital twins, the traditional certification methodology is outdated. This paper critically analyzed actual-world testbeds, theoretical models for recommendation, and AI-augmented mechanisms for automating benchmarking tasks. The triad of cross-layer metrics, real-time AI inference, and regulatory compliance frameworks is the core of future-generation benchmarking tools. The review also presents avenues for future research, emphasizing the necessity for globally harmonized standards and autonomous certification ecosystems.
Kumara Adji Kusuma (2025) studied this question.