Benefits and Impact of Cloud Computing on 5G Signal Processing: Flexible centralization through cloud-RAN

Wübben, Dirk; Rost, Peter; Bartelt, Jens; Lalam, Massinissa; Savin, Valentin; Gorgoglione, Matteo; Dekorsy, Armin; Fettweis, Gerhard

doi:10.1109/msp.2014.2334952

Cited by 233 publications

(183 citation statements)

References 27 publications

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“…4 shows that, the system with Linux operating system and multiprocessors has gain high performance with higher throughput than any other system and this is due to the properties of Linux operating system, which need high performance. These results taken are quite similar to the results taken in [10,11,12,13,14,15]. Our results, tend to use Linux Operating system with multi-processor than using Windows Operating system.…”

supporting

confidence: 92%

UAV Cloud Operating System

et al. 2018

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Abstract. Unmanned aerial vehicle (UAV) which is a special case of mobile ad-hoc networks (MANETs) that attracts many researchers as it becomes a scope for both military and civilian applications. Also the trend of cloud computing when it is combined with UAV highlights this field of research in many aspects, but the most significant point of research is the operating system for the cloud. This paper investigates UAV cloud operating system showing the throughput (bits/Sec) for the system implemented when using both Windows and Linux operating systems in order to select the operating system used based on a real scientific results.

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confidence: 92%

UAV Cloud Operating System

et al. 2018

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“…In addition, the centralization of all the signal processing functions in the BBU simplifies the adoption of cooperative techniques such as CoMP, which require advanced processing of the radio signal of several RRHs simultaneously. Further discussion on alternative functional splits can be found in [7]. Some of the main design features and requirements of CPRI are listed below:…”

Section: Overview Of Cpri Concept and Requirementsmentioning

confidence: 99%

“…The latter relies on the fact that many cell processing functions do not depend on the number of users, including FFT, cyclic prefix addition/removal, synchronization signals, and so on. More information about this novel approach can be found in [7]. …”

Section: Summary Challenges and Future Researchmentioning

confidence: 99%

An overview of the CPRI specification and its application to C-RAN-based LTE scenarios

et al. 2016

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“…These requirements can only be realized with high-capacity fiber or point-topoint wireless links, making the deployment of the FH network very costly, reducing the gains expected from centralization. The most promising approach to reduce the traffic load of the FH interface is the re-evaluation of the so-called functional split [3,4], i.e., investigating which part of the signal processing can be performed at RUs and which part at CUs. By adopting only partial centralization, the FH requirements can be significantly relaxed while the main centralization benefits persist.…”

Section: Introductionmentioning

confidence: 99%

“…C-RAN requirements and functional splits have been well investigated for 4G networks [3,4] and are already considered for standardization by the IEEE 1914 working group [6] and in the CPRI Consortium's eCPRI standard [2]. However, for 5G networks, the introduction of new radio access technologies (RATs) is currently considered by 3GPP under the term new radio (NR) [7].…”

Section: Introductionmentioning

confidence: 99%

5G transport network requirements for the next generation fronthaul interface

Bartelt

Vučić

Camps‐Mur

et al. 2017

J Wireless Com Network

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To meet the requirements of 5G mobile networks, several radio access technologies, such as millimeter wave communications and massive MIMO, are being proposed. In addition, cloud radio access network (C-RAN) architectures are considered instrumental to fully exploit the capabilities of future 5G RANs. However, RAN centralization imposes stringent requirements on the transport network, which today are addressed with purpose-specific and expensive fronthaul links. As the demands on future access networks rise, so will the challenges in the fronthaul and backhaul segments. It is hence of fundamental importance to consider the design of transport networks alongside the definition of future access technologies to avoid the transport becoming a bottleneck. Therefore, we analyze in this work the impact that future RAN technologies will have on the transport network and on the design of the next generation fronthaul interface. To understand the especially important impact of varying user traffic, we utilize measurements from a real-world 4G network and, taking target 5G performance figures into account, extrapolate its statistics to a 5G scenario. With this, we derive both per-cell and aggregated data rate requirements for 5G transport networks. In addition, we show that the effect of statistical multiplexing is an important factor to reduce transport network capacity requirements and costs. Based on our investigations, we provide guidelines for the development of the 5G transport network architecture.

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Benefits and Impact of Cloud Computing on 5G Signal Processing: Flexible centralization through cloud-RAN

Cited by 233 publications

References 27 publications

UAV Cloud Operating System

UAV Cloud Operating System

An overview of the CPRI specification and its application to C-RAN-based LTE scenarios

5G transport network requirements for the next generation fronthaul interface

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