Critical issues of centralized and cloudified LTE-FDD Radio Access Networks

Alyafawi, Islam; Schiller, Eryk; Braun, Torsten; Dimitrova, Desislava; Gomes, Andre S.; Nikaein, Navid

doi:10.1109/icc.2015.7249202

Cited by 45 publications

(28 citation statements)

References 5 publications

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“…This gives them the benefit of being faster and more resource-efficient. This point has been studied in [6]. In a container-based Cloud-RAN platform, BBU functions are represented as runnable-tasks (processes or jobs) which are placed in the highest layer of the Cloud-RAN system as shown in Figure 1.…”

Section: A Bbu-poolmentioning

confidence: 99%

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Towards the deployment of a fully centralized Cloud-RAN architecture

Rodriguez

Guillemin

2017

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-In the framework of Network Function Virtualization (NFV), we address in this work the design and sizing of Cloud-RAN architectures. We concretely investigate the execution time of software-based Base Band Units (BBUs) on multicore systems. Since Cloud-RAN requires a real-time behavior, we use parallel programming techniques in order to minimize the runtime of BBU functions. For an efficient utilization of computing resources, we investigate the relevance of resource pooling where a global scheduling algorithm allocates processing units to runnable BBU-jobs. We specifically examine the gain that can be obtained when applying data parallelism on the channel decoding BBU-function which is the most expensive one in terms of processing time. Performance results show a significant reduction in the runtime of PHY functions which enables the deployment of a fully centralized Cloud-RAN architecture.

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Section: A Bbu-poolmentioning

confidence: 99%

“…It includes the channel decoding which is the most expensive sub-function in terms of latency [4], [12], [13]. The performance of BBU functions for the Tx process (down-link) is studied in [2].…”

Section: Processing Bbu Functions In the Cloudmentioning

confidence: 99%

Towards the deployment of a fully centralized Cloud-RAN architecture

Rodriguez

Guillemin

2017

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)

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“…In order to minimize the dominant BB power consumption, the substitution of dedicated hardware BBUs with general purpose processors (GPP) servers [6] has been recently proposed. BB functionalities are implemented according to a virtualized multi-standard approach, as instances of a virtual machine (VM) running on the GPP-BBU.…”

Section: Introductionmentioning

confidence: 99%

Cooperation incentives for multi-operator C-RAN energy efficient sharing

Vincenzi¹,

Antonopoulos²,

Kartsakli³

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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Abstract-Facing the increasing energy demands associated with the perspective of fifth generation (5G) wireless networks, the Mobile Network Operators (MNOs) are motivated to gradually convert their traditional Radio Access Network (RAN) infrastructure to more flexible and power efficient centralized architectures, i.e., Cloud-RAN (C-RAN). Apart from their promising benefits in terms of management and network optimization, these new architectures further enable the sharing of spectrum and network elements, such as the Remote Radio Heads (RRHs) and the Baseband Units (BBUs), among multiple operators. In this paper, we introduce a novel scheme based on coalitional game theory to identify the potential room for cooperation among different MNOs that provide service to the same area. The proposed scheme sets the rules for profitable collaboration and identifies the core formation conditions (i.e., pricing) for various scenarios with different market and spectrum shares among three operators. Our results show that i) cooperation among subcoalitions of MNOs is always beneficial, yielding both higher revenues and enhanced Quality of Service (QoS) for the end users, and ii) the cooperation of all operators (grand coalition) is profitable for given user pricing in different scenarios.

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“…In general, the CQI derives from channel models which are defined by vendors. The most Current mobile networks use high-throughput FPGA architectures to perform channel coding which can be considered as the bottleneck in the virtualization of RAN functions [12]. As a consequence, we investigate the gain that can be achieved when virtual coding sub-functions are instantiated and executed in parallel as much as possible.…”

Section: B the Case Of Ranmentioning

confidence: 99%

VNF modeling towards the cloud-RAN implementation

Rodriguez

Guillemin

2017

2017 International Conference on Networked Systems (NetSys)

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Abstract-We address in this paper the problem of modeling Virtual Network Functions (VNFs) in order to devise execution principles. We specifically represent a VNF as a chain of subfunctions or micro-services and investigate its processing on a multi-core platform. Instead of reserving dedicated resources to a VNF, we specifically examine the gain that can be obtained by resource pooling, namely a pool of cores which is shared by active VNFs. The driving use case of this study is the virtualization and the cloudification of Radio Access Network functions, in particular Base Band Unit (BBU) functions. We validate this approach by simulation and show that an adequate threading model can reduce the VNF runtime. Obtained results open the door towards the Cloud-RAN implementation since some BBU tasks might be hosted in geographically distant data centers.

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Critical issues of centralized and cloudified LTE-FDD Radio Access Networks

Cited by 45 publications

References 5 publications

Towards the deployment of a fully centralized Cloud-RAN architecture

Towards the deployment of a fully centralized Cloud-RAN architecture

Cooperation incentives for multi-operator C-RAN energy efficient sharing

VNF modeling towards the cloud-RAN implementation

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