Graduate School and Research Center in Digital Sciences

Multi-objective function splitting and placement of network slices in 5G mobile networks

Yusupov, Jalolliddin; Ksentini, Adlen; Marchetto, Guido; Sisto, Riccardo

CSCN 2018, IEEE Conference on Standards for Communications and Networking, 29-31 October 2018, Paris, France

5G networks are expected to support various applications with diverse requirements in terms of latency, data rates and traffic volume. Because of this, the selection of the appropriate functional split still remains a challenging task, since a number of parameters have to be considered in order to make such a decision. In this paper, we explore two possible solutions. We propose a Mixed Integer Quadratically Constrained Programming (MIQCP) model for the efficient placement of Virtualized Network Function (VNF) chains in future 5G systems, with particular emphasis on different aspects of the functional split between the cloud platform and the radio access points. Then, we also express the placement problem as MaxSAT instance and provide formal assurance of policies by considering increasingly relevant scenarios where the radio access network (RAN) needs to support various slices. Hence, thorough analyses are performed and recommendation for split point between central cloud and distributed radio units are discussed in this paper

Document Doi Bibtex

Title:Multi-objective function splitting and placement of network slices in 5G mobile networks
Keywords:5G, functionality split, Virtual Network Embedding, uRLLC, eMBB
Department:Communication systems
Eurecom ref:5734
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Bibtex: @inproceedings{EURECOM+5734, doi = {}, year = {2018}, title = {{M}ulti-objective function splitting and placement of network slices in 5{G} mobile networks}, author = {{Y}usupov, {J}alolliddin and {K}sentini, {A}dlen and {M}archetto, {G}uido and {S}isto, {R}iccardo}, booktitle = {{CSCN} 2018, {IEEE} {C}onference on {S}tandards for {C}ommunications and {N}etworking, 29-31 {O}ctober 2018, {P}aris, {F}rance}, address = {{P}aris, {FRANCE}}, month = {10}, url = {} }
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