An agile and distributed mechanism for inter-domain network slicing in next generation mobile networks

TL;DR

This paper proposes an agile, distributed auction-based mechanism for inter-domain network slicing in next-generation mobile networks, optimizing resource allocation to maximize social welfare and reduce costs.

Contribution

It introduces a novel iterative auction game for resource provisioning that converges to optimal solutions in a privacy-preserving, multi-domain mobile network environment.

Findings

The mechanism converges to the optimal resource allocation.

It improves resource utilization and fairness.

It reduces operational costs compared to existing solutions.

Abstract

Network slicing is emerging as a promising method to provide sought-after versatility and flexibility to cope with ever-increasing demands. To realize such potential advantages and to meet the challenging requirements of various network slices in an on-demand fashion, we need to develop an agile and distributed mechanism for resource provisioning to different network slices in a heterogeneous multi-resource multi-domain mobile network environment. We formulate inter-domain resource provisioning to network slices in such an environment as an optimization problem which maximizes social welfare among network slice tenants (so that maximizing tenants' satisfaction), while minimizing operational expenditures for infrastructure service providers at the same time. To solve the envisioned problem, we implement an iterative auction game among network slice tenants, on one hand, and a plurality of price-taking subnet service providers, on the other hand. We show that the proposed solution method results in a distributed privacy-saving mechanism which converges to the optimal solution of the described optimization problem. In addition to providing analytical results to characterize the performance of the proposed mechanism, we also employ numerical evaluations to validate the results, demonstrate convergence of the presented algorithm, and show the enhanced performance of the proposed approach (in terms of resource utilization, fairness and operational costs) against the existing solutions.