AuthorsF. Tonini, C. Raffaelli, S. Bjørnstad, D. Chen, and R. Veisllari
TitleA Traffic Pattern Adaptive Mechanism to Bound Packet Delay and Delay Variation in 5G Fronthaul
AfilliationCommunication Systems
Project(s)No Simula project
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2019
Conference Name2019 European Conference on Networks and Communications (EuCNC)
Pagination416-420
PublisherIEEE
Abstract

A novel packet-based adaptive mechanism for
bounding delay and delay variation in 5G Ethernet fronthaul is
proposed. The mechanism enables aggregation of asynchronous
traffic from fronthaul links using a traffic pattern adaptation
algorithm. Traffic of a first stream is added in time-gaps of a
second stream. For bounding and balancing the packet delay and
delay variation between the streams, the size of the required
time-gap before insertion is made adaptive. Simulation results
demonstrate that through suitable tuning of the algorithm parameters,
packet delay and delay variation below 10 microseconds
can be achieved.

Citation Key27201

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