Benefits and challenges of virtualization in 5G radio access networks

Rost, Peter; Berberana, Ignacio; Maeder, Andreas; Paul, Henning; Suryaprakash, Vinay; Valenti, Matthew C.; Wübben, Dirk; Dekorsy, Armin; Fettweis, Gerhard

doi:10.1109/mcom.2015.7355588

Cited by 54 publications

(40 citation statements)

References 6 publications

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“…They have proposed RAN virtualization use case in a C-RAN architecture, where the BBU functions can be executed in a Network Function Virtualization Infrastructure (NFVI) environment such as a data center. Based on this ETSI use case, the authors in [44] propose an architecture for LTE RAN virtualization. In this proposal, virtual radio processing units are responsible for executing LTE data plane stacks and a controller for interfacing virtual RAN to the core network and other RA Ns is devised.…”

Section: ) Nfv Applied To Ranmentioning

confidence: 99%

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

2017

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Abstract--Due to the tremendous growth in mobile data traffic, cellular networks are witnessing architectural evolutions. Future cellular networks are expected to be extremely dense and complex systems, supporting a high variety of end-devices (e.g., smartphone, sensors, machines) with very diverse QoS requirements. S uch amount of network and end-user devices will consume a high percentage of electricity from the power grid to operate, thus increasing the carbon footprint and the operational expenditures of mobile operators. Therefore, environmental and economical sustainability have been included in the roadmap towards a proper design of the next-generation cellular system. This paper focuses on softwarization paradigm, energy harvesting technologies and optimization tools as enablers of future cellular networks for achieving diverse system requirements, including energy saving. The paper surveys the state-of-the-art literatures embedding softwarization paradigm in densely deployed Radio Access Network (RAN). In addition, the need for energy harvesting technologies in densified RAN is provided with the review of the state-of-the-art proposals on the interaction between softwarization and e nergy harvesting technology. Moreover, the role of optimization tools, such as machine learning, in future RAN with densification paradigm is stated. We have classified available literature that balances these three pillars namely, softwarization, energy harvesting and optimization with densification, being a common RAN deployment trend. Open issues that require further research efforts are also included.

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Section: ) Nfv Applied To Ranmentioning

confidence: 99%

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

2017

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“…Moreover, wireless virtualization, as a new fundamental functionality for the 5G networks, could help the efficient management of spectrum resources, too. Resource virtualization helps simplify the control of virtual networks and avoid overprovisioning by assigning wireless resources intelligently based on the actual need . Essentially, wireless virtualization concerns the creation of multiple separate virtual networks by physical resource sharing.…”

Section: Introductionmentioning

confidence: 99%

“…Resource virtualization helps simplify the control of virtual networks and avoid overprovisioning by assigning wireless resources intelligently based on the actual need. 8 Essentially, wireless virtualization concerns the creation of multiple separate virtual networks by physical resource sharing. This major concept relies on two 5G key enablers, software defined network that enables the decoupling of the infrastructure from the offered services and network function virtualization that refers to the implementation of network functions in software running on general-purpose computing/storage platforms.…”

Section: Introductionmentioning

confidence: 99%

Matching theory as enabler of efficient spectrum management in 5G networks

Tsirakis

López-Aguilera

Agapiou

et al. 2019

Trans Emerging Tel Tech

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This paper analyzes the spectrum trading problem in virtualized fifth generation networks to enhance the network performance with respect to the spectrum utilization. The problem is modeled as a many‐to‐many matching game with utility‐based preferences and determines the matching between mobile network operators and mobile virtual network operators. The two proposed versions of utility functions for each set aim at maximizing the satisfaction of both sets with conflicting interests and improving the overall spectrum efficiency. In the simulation evaluation, the proposed scheme is compared with three different schemes in terms of the system utility, individual, and pair matching satisfaction. We also investigate the scalability aspects, the strategy plan impact on the matching performance of our proposed scheme, and at the same time, we attempt to make appropriate assumptions closer to reality. Our proposed scheme shows much better performance than the other schemes achieving a quite high level of satisfaction for the matching result on both sets.

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“…The new service requirements (e.g., wider bandwidth and shorter latency) together with key 5G technologies such as Cloud radio access networking (C-RAN) [1], network function virtualization (NFV), software defined networking (SDN) and mobile edge computing (MEC) [2] manifest the emerging need for flexibility and network programmability in 5G systems [3]. Through them, network operators would leverage traffic dynamics and optimize the utilization of resources across different segments of the network [4].…”

Section: Introductionmentioning

confidence: 99%

Energy footprint reduction in 5G reconfigurable hotspots via function partitioning and bandwidth adaptation

Bartzoudis¹,

Font-Bach²,

Miozzo³

et al. 2017

2017 Fifth International Workshop on Cloud Technologies and Energy Efficiency in Mobile Communication Networks (CLEEN)

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Abstract-Cloud-based radio access networks (C-RAN) are expected to face important challenges in the forthcoming fifth generation (5G) communication systems. For this reason, more flexible C-RAN architectures have recently been proposed in the literature, where the radio communication stack is partitioned and placed across different RAN nodes to tackle the 5G capacity and latency requirements. In this paper, we show that this functional split also supports energy efficiency, especially when it is combined with bandwidth adaptation. To this aim, we have built a dynamic hotspot prototype, where the hardware-accelerated physical-layer is placed in the remote radio head, and higher software-based layers are placed in a server (either directly connected or remotely accessible). This setup allowed us to experimentally evaluate the energy consumption of key hardware modules when adapting the bandwidth and the modulation and coding scheme. The real-time operation of the testbed allows further experimentation with different 5G use cases and the evaluation of other key performance indicators.

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Benefits and challenges of virtualization in 5G radio access networks

Cited by 54 publications

References 6 publications

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey

Matching theory as enabler of efficient spectrum management in 5G networks

Energy footprint reduction in 5G reconfigurable hotspots via function partitioning and bandwidth adaptation

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