Abstract

In 5G slice networks, the multi-tenant, multi-tier heterogeneous network will be critical in meeting the quality of service (QoS) requirement of the different slice use cases and in reduction of the capital expenditure (CAPEX) and operational expenditure (OPEX) of mobile network operators. Hence, 5G slice networks should be as flexible as possible to accommodate different network dynamics such as user location and distribution, different slice use case QoS requirements, cell load, intra-cluster interference, delay bound, packet loss probability, and service level agreement (SLA) of mobile virtual network operators (MVNO). Motivated by this condition, this paper addresses a latency-aware dynamic resource allocation problem for 5G slice networks in a multi-tenant, multi-tier heterogeneous environment, for efficient radio resource management. The latency-aware dynamic resource allocation problem is formulated as a maximum utility optimisation problem. The optimisation problem is transformed and the hierarchical decomposition technique is adopted to reduce the complexities in solving the optimisation problem. Furthermore, we propose a genetic algorithm (GA) intelligent latency-aware resource allocation scheme (GI-LARE). We compare GI-LARE with the static slicing (SS) resource allocation; the spatial branch and bound-based scheme; and, an optimal resource allocation algorithm (ORA) via Monte Carlo simulation. Our findings reveal that GI-LARE outperformed these other schemes.

Highlights

  • The V2X layer comprises a set of vehicles (i.e. ultra-reliable low-latency communications (URLLC) slice users engaged in Vehicleto-Network (V2N)) R = {r|r ∈ N, 1 ≤ r ≤ |R|} connected to the macro base station requesting for the URLLC slice

  • PROPOSED SOLUTION we present the detailed description of the proposed solution to the latency-aware dynamic resource allocation problem in a multi-tier multi-tenant heterogeneous network stated in (20)

  • We considered a multi-tier multi-tenant network of mobile virtual network operators (MVNO) operating in an area of interest of 950m radius

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Summary

INTRODUCTION

In [26], the authors proposed a dynamic network slicing and resource allocation scheme for video streaming and IoT applications, which is based on the Lyapunov Optimisation in a single cell scenario. Different from the above-mentioned works, in the present paper we investigate the latency-aware dynamic resource allocation problem in a multi-tier clustered heterogeneous network for multi-tenancy network slicing. C. CONTRIBUTIONS The main contributions of the present paper are summarised as follows: 1) We consider radio resource allocation concerning the three broad slice use cases, namely the eMBB, mMTC, and URLLC respectively, in a multi-tier multi-tenant 5G slice network. A latency-aware dynamic resource allocation scheme is developed as an optimisation framework to maximise the total utility of the network This framework efficiently allocates radio resources to the different slice use cases by considering the data rate and latency requirements of the respective slice use cases.

SYSTEM MODEL
V2X COMMUNICATION MODEL
CHANNEL MODEL
PROBLEM FORMULATION
PROPOSED SOLUTION
13: Select population
COMPLEXITY ANALYSIS
IMPACT OF THE SLICE USER DENSITY
VIII. CONCLUSION
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