Telco Edge Architecture for Deterministic Experience: A Research-Driven Analysis

Abstract

Telecommunications networks are evolving from connectivity providers to computational platforms supporting mission-critical applications that demand deterministic performance guarantees. Traditional cloud architectures introduce unpredictability through centralization, while edge computing offers a solution by positioning resources closer to users and data sources. This article examines how telco edge architectures deliver deterministic networking capabilities through architectural components, deployment strategies, and performance characteristics. The integration of Multi-access Edge Computing with 5G Service-Based Architecture creates a foundation for guaranteed service levels, while network slicing enables isolated virtual networks with tailored performance metrics. Edge deployments demonstrate significant improvements in latency, jitter, reliability, and throughput across various implementation scenarios. Commercial deployments showcase diverse approaches to implementing deterministic edge computing, from API-based QoS control to AI-enhanced industrial platforms. However, several limitations remain concerning economic viability, with infrastructure sharing models emerging to address capital requirements; energy efficiency challenges, requiring careful optimization of distributed resources; and operational complexity, necessitating sophisticated automation for effective management at scale. Despite these challenges and additional concerns in performance consistency, resource contention, and security, the telco edge represents a transformative architecture that enables deterministic experiences for next-generation applications. The convergence of edge computing with deterministic networking principles opens new possibilities for applications requiring strict timing guarantees, reshaping how telecommunications infrastructure supports critical services while balancing performance benefits against implementation costs and operational considerations.