How to solve the fronthaul traffic congestion problem in H-CRAN?

Yinan Qi, Muhammad Zeeshan Shakir, Muhammad Ali Imran, Atta Quddus, Rahim Tafazolli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The design of efficient wireless fronthaul connections for future heterogeneous networks incorporating emerging paradigms such as heterogeneous cloud radio access network (H-CRAN) has become a challenging task that requires the most effective utilization of fronthaul network resources. In this paper, we propose and analyze possible solutions to facilitate the fronthaul traffic congestion in the scenario of Coordinated Multi-Point (CoMP) for 5G cellular traffic which is expected to reach ZetaByte by 2017. In particular, we propose to use distributed compression to reduce the fronthaul traffic for H-CRAN. Unlike the conventional approach where each coordinating point quantizes and forwards its own observation to the processing centre, these observations are compressed before forwarding. At the processing centre, the decompression of the observations and the decoding of the user messages are conducted in a joint manner. Our results reveal that, in both dense and ultra-dense urban small cell deployment scenarios, the usage of distributed compression can efficiently reduce the required fronthaul rate by more than 50% via joint operation.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications Workshops (ICC), 2016
Place of PublicationKuala Lumpur, Malaysia
PublisherIEEE
Pages1-6
Edition2016
ISBN (Electronic)978-1-5090-0448-5
DOIs
Publication statusPublished - 7 Jul 2016
Externally publishedYes
EventIEEE International Conference on Communications - Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia
Duration: 23 May 201627 May 2016
http://icc2016.ieee-icc.org/content/tutorials

Conference

ConferenceIEEE International Conference on Communications
Abbreviated titleICC’2016
CountryMalaysia
CityKuala Lumpur
Period23/05/1627/05/16
Internet address

Fingerprint

Traffic congestion
Heterogeneous networks
Processing
Telecommunication traffic
Decoding

Cite this

Qi, Y., Shakir, M. Z., Imran, M. A., Quddus, A., & Tafazolli, R. (2016). How to solve the fronthaul traffic congestion problem in H-CRAN? In IEEE International Conference on Communications Workshops (ICC), 2016 (2016 ed., pp. 1-6). Kuala Lumpur, Malaysia: IEEE. https://doi.org/10.1109/ICCW.2016.7503794
Qi, Yinan ; Shakir, Muhammad Zeeshan ; Imran, Muhammad Ali ; Quddus, Atta ; Tafazolli, Rahim. / How to solve the fronthaul traffic congestion problem in H-CRAN?. IEEE International Conference on Communications Workshops (ICC), 2016 . 2016. ed. Kuala Lumpur, Malaysia : IEEE, 2016. pp. 1-6
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title = "How to solve the fronthaul traffic congestion problem in H-CRAN?",
abstract = "The design of efficient wireless fronthaul connections for future heterogeneous networks incorporating emerging paradigms such as heterogeneous cloud radio access network (H-CRAN) has become a challenging task that requires the most effective utilization of fronthaul network resources. In this paper, we propose and analyze possible solutions to facilitate the fronthaul traffic congestion in the scenario of Coordinated Multi-Point (CoMP) for 5G cellular traffic which is expected to reach ZetaByte by 2017. In particular, we propose to use distributed compression to reduce the fronthaul traffic for H-CRAN. Unlike the conventional approach where each coordinating point quantizes and forwards its own observation to the processing centre, these observations are compressed before forwarding. At the processing centre, the decompression of the observations and the decoding of the user messages are conducted in a joint manner. Our results reveal that, in both dense and ultra-dense urban small cell deployment scenarios, the usage of distributed compression can efficiently reduce the required fronthaul rate by more than 50{\%} via joint operation.",
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Qi, Y, Shakir, MZ, Imran, MA, Quddus, A & Tafazolli, R 2016, How to solve the fronthaul traffic congestion problem in H-CRAN? in IEEE International Conference on Communications Workshops (ICC), 2016 . 2016 edn, IEEE, Kuala Lumpur, Malaysia, pp. 1-6, IEEE International Conference on Communications, Kuala Lumpur, Malaysia, 23/05/16. https://doi.org/10.1109/ICCW.2016.7503794

How to solve the fronthaul traffic congestion problem in H-CRAN? / Qi, Yinan; Shakir, Muhammad Zeeshan; Imran, Muhammad Ali; Quddus, Atta ; Tafazolli, Rahim.

IEEE International Conference on Communications Workshops (ICC), 2016 . 2016. ed. Kuala Lumpur, Malaysia : IEEE, 2016. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The design of efficient wireless fronthaul connections for future heterogeneous networks incorporating emerging paradigms such as heterogeneous cloud radio access network (H-CRAN) has become a challenging task that requires the most effective utilization of fronthaul network resources. In this paper, we propose and analyze possible solutions to facilitate the fronthaul traffic congestion in the scenario of Coordinated Multi-Point (CoMP) for 5G cellular traffic which is expected to reach ZetaByte by 2017. In particular, we propose to use distributed compression to reduce the fronthaul traffic for H-CRAN. Unlike the conventional approach where each coordinating point quantizes and forwards its own observation to the processing centre, these observations are compressed before forwarding. At the processing centre, the decompression of the observations and the decoding of the user messages are conducted in a joint manner. Our results reveal that, in both dense and ultra-dense urban small cell deployment scenarios, the usage of distributed compression can efficiently reduce the required fronthaul rate by more than 50% via joint operation.

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Qi Y, Shakir MZ, Imran MA, Quddus A, Tafazolli R. How to solve the fronthaul traffic congestion problem in H-CRAN? In IEEE International Conference on Communications Workshops (ICC), 2016 . 2016 ed. Kuala Lumpur, Malaysia: IEEE. 2016. p. 1-6 https://doi.org/10.1109/ICCW.2016.7503794