LATENCY-AWARE NETWORK SLICING USING DISTRIBUTED RESOURCE ALLOCATION AND REGIONAL ORCHESTRATION

Abstract

Network slicing has emerged as a fundamental enabler for delivering diverse services with heterogeneous requirements in next-generation communication systems. However, most existing approaches focus on either bandwidth or computational resource allocation in isolation, often relying on centralized architectures that struggle with latency, scalability, and information privacy across distributed network components. This paper addresses this gap by proposing a novel distributed network slicing architecture that jointly optimizes bandwidth and compute resources. The core innovation is the introduction of a regional orchestrator (RO) a new control plane entity positioned between base stations (BSs) and cloud nodes to coordinate localized resource allocation while preserving system privacy and scalability. We develop a distributed resource allocation algorithm based on the splitting model (dra-SM) to efficiently manage joint resource distribution without centralized control. Simulation results show that our approach significantly reduces overall network latency by approximately 15%—compared to single-resource slicing, while also achieving faster convergence and service-specific latency guarantees. This work contributes a scalable, low-latency solution for real-world deployment of joint network slicing across decentralized infrastructures.