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Network slicing is a key capability for next generation mobile networks. Itenables one to cost effectively customize logical networks over a sharedinfrastructure. A critical component of network slicing is resource allocation,which needs to ensure that slices receive the resources needed to support theirmobiles/services while optimizing network efficiency. In this paper, we proposea novel approach to slice-based resource allocation named Guaranteed seRviceEfficient nETwork slicing (GREET). The underlying concept is to set up aconstrained resource allocation game, where (i) slices unilaterally optimizetheir allocations to best meet their (dynamic) customer loads, while (ii)constraints are imposed to guarantee that, if they wish so, slices receive apre-agreed share of the network resources. The resulting game is a variation ofthe well-known Fisher market, where slices are provided a budget to contend fornetwork resources (as in a traditional Fisher market), but (unlike a Fishermarket) prices are constrained for some resources to provide the desiredguarantees. In this way, GREET combines the advantages of a share-basedapproach (high efficiency by flexible sharing) and reservation-based ones(which provide guarantees by assigning a fixed amount of resources). Wecharacterize the Nash equilibrium, best response dynamics, and propose apractical slice strategy with provable convergence properties. Extensivesimulations exhibit substantial improvements over network slicingstate-of-the-art benchmarks.

Constrained Network Slicing Games: Achieving service guarantees and network efficiency