Next Generation Mobile Fronthaul and Midhaul Architectures [Invited]

Pfeiffer, Thomas

doi:10.1364/jocn.7.000b38

Cited by 237 publications

(117 citation statements)

References 6 publications

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“…Conceptually, we distinguish two wireless integration scenarios that differ in the radio access network (RAN) realization. The first approach is based on a centralized RAN architecture [11], [12] in which the digital baseband processing hardware, the baseband unit (BBU), is moved from the base stations to common central locations, serving a large group of remote radio heads (RRH) that then do not need much more hardware other than RF electronics. The optical transport between BBU and RRH is enabled by using the common public radio interface (CPRI).…”

Section: A Convergence Of Fixed and Mobile Networkmentioning

confidence: 99%

“…In this case the system can take advantage of user traffic dynamics, such that the optical link capacity benefits from statistical multiplexing effects. For obvious reasons such architectures are typically called midhaul with dual site processing or split processing [11]. With midhaul the optical transmission interface capacity dynamically ranges from zero (for no traffic) up to about 20% of the current CPRI rate in case of fully loaded radio channels.…”

Section: A Convergence Of Fixed and Mobile Networkmentioning

confidence: 99%

See 1 more Smart Citation

Access and Metro Network Convergence for Flexible End-to-End Network Design [Invited]

Ruffini¹,

Achouche

Arbeláez

et al. 2017

J. Opt. Commun. Netw.

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Abstract-This paper reports on the architectural, protocol, physical layer and integrated testbed demonstrations carried out by the DISCUS FP7 consortium in the area of accessmetro network convergence. Our architecture modelling results show the vast potential for cost and power savings that node consolidation can bring. The architecture however also recognises the limitations of long-reach transmission for low latency 5G services, and proposes how to address such shortcomings in future projects. The testbed results, which have been conducted end-to-end, across access-metro and core, and have targeted all the layers of the network, from the application down to the physical layer, show the practical feasibility of the concepts proposed in the project.Index Terms-access metro, network convergence, fixed mobile convergence, long-reach PON, flat optical core, optical island, 5G architecture, next generation multi wavelength PON.

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Section: A Convergence Of Fixed and Mobile Networkmentioning

confidence: 99%

Section: A Convergence Of Fixed and Mobile Networkmentioning

confidence: 99%

Access and Metro Network Convergence for Flexible End-to-End Network Design [Invited]

Ruffini¹,

Achouche

Arbeláez

et al. 2017

J. Opt. Commun. Netw.

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show abstract

“…In this case, sharing infrastructure for the required baseband processing results in reducing the power consumption [10]. However fronthaul must be considerably prolonged by using dedicated fibers, optical transport network, or PON [11] because DUs are located at CC. Since no baseband processing is conducted at EC, large delay and bandwidth consumption are imposed on the system performance.…”

Section: B Reference Architecturesmentioning

confidence: 99%

Delay-aware green hybrid CRAN

Alabbasi

Çavdar

2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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Abstract-As a potential candidate architecture for 5G systems, cloud radio access network (CRAN) enhances the system's capacity by centralizing the processing and coordination at the central cloud. However, this centralization imposes stringent bandwidth and delay requirements on the fronthaul segment of the network that connects the centralized baseband processing units (BBUs) to the radio units (RUs). Hence, hybrid CRAN is proposed to alleviate the fronthaul bandwidth requirement. The concept of hybrid CRAN supports the proposal of splitting/virtualizing the BBU functions processing between the central cloud (central office that has large processing capacity and efficiency) and the edge cloud (an aggregation node which is closer to the user, but usually has less efficiency in processing). In our previous work, we have studied the impact of different split points on the system's energy and fronthaul bandwidth consumption. In this study, we analyze the delay performance of the end user's request. We propose an end-to-end (from the central cloud to the end user) delay model (per user's request) for different function split points. In this model, different delay requirements enforce different function splits, hence affect the system's energy consumption. Therefore, we propose several research directions to incorporate the proposed delay model in the problem of minimizing energy and bandwidth consumption in the network. We found that the required function split decision, to achieve minimum delay, is significantly affected by the processing power efficiency ratio between processing units of edge cloud and central cloud. High processing efficiency ratio (≈ 1) leads to significant delay improvement when processing more base band functions at the edge cloud.Index Terms-5G, network architecture, cloud RAN, end-toend delay, network function split, virtualized cloud RAN.

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“…Such base stations with no BBU are termed as Remote Radio Heads (RRH); these are connected to C-RAN-BBU by front-haul using optical or wired high speed links for transmission of digitized IQ sample. The C-RAN architecture may be implemented in various schemes like dedicated-BBU, pooling-BBU, or more flexible and configurable cloud-BBU [14].…”

Section: H Centralized-ranmentioning

confidence: 99%

A Survey on Current Repertoire for 5G

Nadeem¹,

Saeed²,

Khan³

2017

IJITCS

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Abstract-Cellular technology progressed miraculously in the last decade. It has redefined communication paradigm. Statistics provided by Ericson and Cisco show the number of mobile connected devices will reach figures of 9.2 billion and 11.6 billion respectively by 2020. Overall connected devices will surpass 50 billion then. Extremely higher data rates, zero latency, massively scalable, connecting everything anywhere is what that 5G promises. To meet such ambitious goals which apparently seems challenging, the tools and technologies that mobile communication has in its repertoire and what it needs more either enhancement in existing solutions or new solution or joint venture of both, is a question that demands an answer. To realize 5G, evolution and revolution both approaches are being employed. Evolution seeks enhancements in existing technologies while revolution looks for new innovations and technologies. Extension in frequency spectrum, network densification, MIMO, carrier aggregation, Centralized-RAN, HetNets, and Network Functionality Virtualization are the key enablers. This paper disseminates information about ongoing research and development of 5G.

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Next Generation Mobile Fronthaul and Midhaul Architectures [Invited]

Cited by 237 publications

References 6 publications

Access and Metro Network Convergence for Flexible End-to-End Network Design [Invited]

Access and Metro Network Convergence for Flexible End-to-End Network Design [Invited]

Delay-aware green hybrid CRAN

A Survey on Current Repertoire for 5G

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