Transport Abstraction Models for an SDN-Controlled Centralized RAN

Fiorani, Matteo; Rostami, A.; Wosinska, Lena; Monti, Paolo

doi:10.1109/lcomm.2015.2446480

Cited by 29 publications

(27 citation statements)

References 4 publications

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“…Therefore, SDWN controllers can still be distributed and also perform centralized logical functions, such as global topology mapping, neighbor wireless resource information retrieving, link discovery, and radio monitoring. It is also worth mentioning that some of the current SDWN proposals are distributed and present hierarchical organization of controllers that provides partial control centralization [10,13]. Such distribution enable controllers to decrease management complexity keeping part of the centralization benefits [10].…”

Section: Related Workmentioning

confidence: 99%

“…For instance, in [16], the authors proposed an SDWN controller able to cope with radio resource management at physical layer. Whereas, in [13], three transport models were proposed to measure the efficiency of employing SDWN concepts in a C-RAN optimizing its usage. The authors of [10], proposed a hierarchical composition of controllers, responsible for different parts of the network, namely radio, optical, and BBU controller.…”

Section: Related Workmentioning

confidence: 99%

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Design considerations for software-defined wireless networking in heterogeneous cloud radio access networks

Marotta

Kist

Wickboldt

et al. 2017

J Internet Serv Appl

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The fifth generation (5G) cellular infrastructure is envisaged as a dense and heterogeneous deployment of small cells overlapping with existing macrocells in the Radio Access Network (RAN). Densification and heterogeneity, however, pose new challenges such as dealing with interference, accommodating massive signaling traffic, and managing increased energy consumption. Heterogeneous Cloud Radio Access Networks (H-CRAN) emerges as a candidate architecture for a sustainable deployment of 5G. In addition, the application of SDN concepts to wireless environments motivated recent research in the so-called Software-Defined Wireless Networking (SDWN). In this article, we discuss how SDWN can support the development of a flexible, programmable, and sustainable infrastructure for 5G. We also present a case study based on SDWN to perform frequency assignment, interference, and handover control in an H-CRAN environment. Results allow the establishment of a tradeoff between wireless communication capacity gains and signaling overhead added by the employment of SDWN concepts to H-CRAN.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Design considerations for software-defined wireless networking in heterogeneous cloud radio access networks

Marotta

Kist

Wickboldt

et al. 2017

J Internet Serv Appl

View full text Add to dashboard Cite

show abstract

“…The considered C-RAN scenario is similar to the one analyzed in [12]. However, in this paper we include a new constraint, i.e., the maximum distance between remote radio units (RRUs) and baseband processing units (BBUs), which plays an important role in terms of overall system performance.…”

Section: Abstraction Modelsmentioning

confidence: 99%

“…In [12] we proposed two simple transport abstraction models for centralized radio access networks (C-RANs) with orchestration of radio and transport resources. These models, referred to as big switch (BiS) and virtual link (VL), are an adaptation of well-known transport abstraction models [13] and are designed specifically for a C-RAN scenario.…”

mentioning

confidence: 99%

Abstraction Models for Optical 5G Transport Networks

Fiorani

Rostami

Wosinska

et al. 2016

J. Opt. Commun. Netw.

Self Cite

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The orchestration of radio, transport, and cloud resources is a key enabler for efficient service delivery in 5G networks. Orchestration can be achieved with a hierarchical software-defined networking (SDN) control architecture in which a global orchestrator operates above the domain controllers. In such an architecture, the abstraction of resources between the controllers and the orchestrator plays a fundamental role for the system performance. In order to reduce the orchestrator complexity, the controllers should hide as much detail as possible from the orchestrator. On the other hand, the more details are available to the orchestrator the more optimal resource orchestration strategy can be obtained. In order to assess this trade-off, we recently proposed two transport abstraction models, namely big switch (BiS) and virtual link (VL), for centralized radio access networks (C-RANs) with orchestration of radio and transport resources. We observed that VL can provide a more efficient resource orchestration than BiS at the expense of an increased implementation complexity. The contribution of this paper is twofold. We extend the BiS and VL models to make them applicable to any orchestration scenario. Then, we propose a new transport abstraction model, referred to as optical transport transformation (OTT), that aims at achieving efficient resource orchestration with a reduced implementation complexity. We compare the performance of these new abstraction models in a C-RAN use case in which backhaul and fronthaul traffic are carried over a dense wavelength division multiplexing (DWDM) network. Our results prove that in a C-RAN the best choice for the transport abstraction model depends on the availability and the reachability of the radio resources. If radio resources are scarce compared to transport resources, complex transport abstraction models are not needed and a BiS abstraction is the best choice. On the other hand, if radio resources are widely available and reachable, an OTT model guarantees the best overall performance.

QC 20160829

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“…In TWDM-PON-enabled fronthaul, a virtual PON is formed when a group of ONUs transfer data using the same wavelength. As shown in [27], based on the software defined network (SDN) technique, different transport abstractions can be achieved in the centralized controller, which results in better performance of the C-RAN. Besides, we also take common public radio interface (CPRI) compression techniques [37][38][39] into consideration, since the typical CPRI physical link rate is fixed [19].…”

Section: Inlp Model Formulation For Comp-oriented Fronthaulmentioning

confidence: 99%

Efficient resource allocation for passive optical fronthaul-based coordinated multipoint transmission

Wang

et al. 2016

J Wireless Com Network

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The centralized processing in cloud radio access network enables cooperation between baseband processing units (BBUs) like inter-cell interference (ICI) cancellation on the basis of coordinated multipoint (CoMP). Large amounts of the sharing data will be transmitted through fronthaul transport network. In the paper, both integer non-linear programming (INLP) optimization model and adaptive genetic algorithm (GA) are explored to release the capacity pressure of the fronthaul transport network when CoMP is introduced. We also consider the resource allocation problem of the passive optical fronthaul network. The proposed algorithm tries to reduce the downlink bandwidth and improve the optical resource allocation efficiency of the optical fronthaul with minimal influence on the fronthaul topology. During the simulations, three critical factors are considered: (1) the number of cell edge users, (2) the average traffic demand of cell edge users, (3) the size of cell cluster used to enable the CoMP. The simulation results show that the most efficient bandwidth saving and optical resource allocation can be achieved with INLP, while the proposed adaptive GA nearly has the same performance with low computational complexity and fast convergence, which is more applicable for the large-scale fronthaul network. Furthermore, the load difference of the fronthaul transport network can be further reduced.

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Transport Abstraction Models for an SDN-Controlled Centralized RAN

Cited by 29 publications

References 4 publications

Design considerations for software-defined wireless networking in heterogeneous cloud radio access networks

Design considerations for software-defined wireless networking in heterogeneous cloud radio access networks

Abstraction Models for Optical 5G Transport Networks

Efficient resource allocation for passive optical fronthaul-based coordinated multipoint transmission

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