Statistical Multiplexing of Computations in C-RAN with Tradeoffs in Latency and Energy

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In the Cloud Radio Access Network (C-RAN) architecture, the baseband signals from multiple remote radio heads are processed in a centralized baseband unit (BBU) pool. This architecture allows network operators to adapt the BBU’s
computational resources to the aggregate access load experienced at the BBU, which can change in every air-interface access frame. The degree of savings that can be achieved by adapting the resources is a tradeoff between savings, adaptation frequency, and increased queuing time. If the time scale for adaptation of the resource multiplexing is greater than the access frame duration, then this may result in additional access latency and limit the energy savings. In this paper we investigate the tradeoff by considering two extreme time-scales for the resource multiplexing: (i) long-term, where the computational resources are adapted over periods much larger than the access frame durations; (ii) short-term, where the adaption is below the access
frame duration.We develop a general C-RAN queuing model that models the access latency and show, for Poisson arrivals, that long-term multiplexing achieves savings comparable to short-term multiplexing, while offering low implementation complexity.
OriginalsprogEngelsk
Titel2017 IEEE International Conference on Communications Workshops (ICC Workshops) : 3rd International Workshop on 5G RAN Design
ForlagIEEE
Publikationsdato3 jul. 2017
Sider772 - 777
ISBN (Elektronisk)978-1-5090-1525-2
DOI
StatusUdgivet - 3 jul. 2017
BegivenhedIEEE International Conference on Communications (ICC) 2017 Workshop - Paris, Frankrig
Varighed: 21 maj 201725 maj 2017
http://icc2017.ieee-icc.org/content/workshops

Workshop

WorkshopIEEE International Conference on Communications (ICC) 2017 Workshop
LandFrankrig
ByParis
Periode21/05/201725/05/2017
Internetadresse
NavnIEEE International Conference on Communications Workshops (ICC Workshops)
ISSN2474-9133

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Multiplexing
Network architecture
Energy conservation
Air

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Kalør, A. E., Agurto Agurto, M. I., Pratas, N., Nielsen, J. J., & Popovski, P. (2017). Statistical Multiplexing of Computations in C-RAN with Tradeoffs in Latency and Energy. I 2017 IEEE International Conference on Communications Workshops (ICC Workshops): 3rd International Workshop on 5G RAN Design (s. 772 - 777). IEEE. IEEE International Conference on Communications Workshops (ICC Workshops) https://doi.org/10.1109/ICCW.2017.7962752
Kalør, Anders Ellersgaard ; Agurto Agurto, Mauricio Ignacio ; Pratas, Nuno ; Nielsen, Jimmy Jessen ; Popovski, Petar. / Statistical Multiplexing of Computations in C-RAN with Tradeoffs in Latency and Energy. 2017 IEEE International Conference on Communications Workshops (ICC Workshops): 3rd International Workshop on 5G RAN Design. IEEE, 2017. s. 772 - 777 (IEEE International Conference on Communications Workshops (ICC Workshops)).
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abstract = "In the Cloud Radio Access Network (C-RAN) architecture, the baseband signals from multiple remote radio heads are processed in a centralized baseband unit (BBU) pool. This architecture allows network operators to adapt the BBU’scomputational resources to the aggregate access load experienced at the BBU, which can change in every air-interface access frame. The degree of savings that can be achieved by adapting the resources is a tradeoff between savings, adaptation frequency, and increased queuing time. If the time scale for adaptation of the resource multiplexing is greater than the access frame duration, then this may result in additional access latency and limit the energy savings. In this paper we investigate the tradeoff by considering two extreme time-scales for the resource multiplexing: (i) long-term, where the computational resources are adapted over periods much larger than the access frame durations; (ii) short-term, where the adaption is below the accessframe duration.We develop a general C-RAN queuing model that models the access latency and show, for Poisson arrivals, that long-term multiplexing achieves savings comparable to short-term multiplexing, while offering low implementation complexity.",
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Kalør, AE, Agurto Agurto, MI, Pratas, N, Nielsen, JJ & Popovski, P 2017, Statistical Multiplexing of Computations in C-RAN with Tradeoffs in Latency and Energy. i 2017 IEEE International Conference on Communications Workshops (ICC Workshops): 3rd International Workshop on 5G RAN Design. IEEE, IEEE International Conference on Communications Workshops (ICC Workshops), s. 772 - 777, Paris, Frankrig, 21/05/2017. https://doi.org/10.1109/ICCW.2017.7962752

Statistical Multiplexing of Computations in C-RAN with Tradeoffs in Latency and Energy. / Kalør, Anders Ellersgaard; Agurto Agurto, Mauricio Ignacio; Pratas, Nuno; Nielsen, Jimmy Jessen; Popovski, Petar.

2017 IEEE International Conference on Communications Workshops (ICC Workshops): 3rd International Workshop on 5G RAN Design. IEEE, 2017. s. 772 - 777 (IEEE International Conference on Communications Workshops (ICC Workshops)).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

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AU - Pratas, Nuno

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AU - Popovski, Petar

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N2 - In the Cloud Radio Access Network (C-RAN) architecture, the baseband signals from multiple remote radio heads are processed in a centralized baseband unit (BBU) pool. This architecture allows network operators to adapt the BBU’scomputational resources to the aggregate access load experienced at the BBU, which can change in every air-interface access frame. The degree of savings that can be achieved by adapting the resources is a tradeoff between savings, adaptation frequency, and increased queuing time. If the time scale for adaptation of the resource multiplexing is greater than the access frame duration, then this may result in additional access latency and limit the energy savings. In this paper we investigate the tradeoff by considering two extreme time-scales for the resource multiplexing: (i) long-term, where the computational resources are adapted over periods much larger than the access frame durations; (ii) short-term, where the adaption is below the accessframe duration.We develop a general C-RAN queuing model that models the access latency and show, for Poisson arrivals, that long-term multiplexing achieves savings comparable to short-term multiplexing, while offering low implementation complexity.

AB - In the Cloud Radio Access Network (C-RAN) architecture, the baseband signals from multiple remote radio heads are processed in a centralized baseband unit (BBU) pool. This architecture allows network operators to adapt the BBU’scomputational resources to the aggregate access load experienced at the BBU, which can change in every air-interface access frame. The degree of savings that can be achieved by adapting the resources is a tradeoff between savings, adaptation frequency, and increased queuing time. If the time scale for adaptation of the resource multiplexing is greater than the access frame duration, then this may result in additional access latency and limit the energy savings. In this paper we investigate the tradeoff by considering two extreme time-scales for the resource multiplexing: (i) long-term, where the computational resources are adapted over periods much larger than the access frame durations; (ii) short-term, where the adaption is below the accessframe duration.We develop a general C-RAN queuing model that models the access latency and show, for Poisson arrivals, that long-term multiplexing achieves savings comparable to short-term multiplexing, while offering low implementation complexity.

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Kalør AE, Agurto Agurto MI, Pratas N, Nielsen JJ, Popovski P. Statistical Multiplexing of Computations in C-RAN with Tradeoffs in Latency and Energy. I 2017 IEEE International Conference on Communications Workshops (ICC Workshops): 3rd International Workshop on 5G RAN Design. IEEE. 2017. s. 772 - 777. (IEEE International Conference on Communications Workshops (ICC Workshops)). https://doi.org/10.1109/ICCW.2017.7962752