Effects of Differentiated 5G Services on Computational and Radio Resource Allocation Performance
| Autor: | Zeljko Ilic, Jasna Jankovic, Rasheed Hussain, Alma Oracevic, S. M. Ahsan Kazmi |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Service (business)
Radio access network Mobile edge computing Computer Networks and Communications Computer science Quality of service Mobile broadband Distributed computing 020206 networking & telecommunications 02 engineering and technology Computational resource 5G services Radio Access Network (RAN) RAN slicing Resource allocation Service differentiation Packet loss 0202 electrical engineering electronic engineering information engineering Resource management Electrical and Electronic Engineering |
| Popis: | 5G is poised to support new emerging service types that help in the realization of futuristic applications. These services include enhanced Mobile BroadBand (eMBB), ultra-Reliable Low Latency Communication (uRLLC), and massive Machine-Type Communication (mMTC). Even though the new services offer a variety of new use-cases to be implemented, it is still a challenge to guarantee the Quality of Service (QoS) they demand. Moreover, as considerable amount of computational resources are introduced in the evolved Radio Access Network (RAN) following the Mobile Edge Computing (MEC) concept, computational resource allocation optimization along with radio allocation becomes essential. In this paper, we examine the characteristics of the new 5G services and propose a joint computational and radio resource allocation framework that analyzes the QoS performance of each 5G service individually. The framework is developed based on per-service load characterization. Therefore, a computational load distribution algorithm is developed that balances the workloads subject to user association constraint. Further, radio resource allocation performs load-based eMBB-mMTC slicing and uRLLC puncturing. The simulation results show that the proposed solution reduces the packet loss ratio by up to 15% and increases the user data rate by up to 7% for 4G-like services. Furthermore, the effect of resource granularity in radio allocation has been identified as crucial factor for effective allocation of services with small data loads. Finally, the problem of small granularity has been solved by adapting the allocation interval. |
| Databáze: | OpenAIRE |
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