Processing Resource Allocation in 5G Fronthaul

Amaral, Murilo P.; Gomes, Jesse; Rocha, Helder R. O.; Silva, Jair A. L.; Segatto, Marcelo E. V.

doi:10.1109/imoc43827.2019.9317628

Cited by 1 publication

(1 citation statement)

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“…Similarly, the available capacity of the optical network is considered in [39], [40] as a constraint in the split selection procedure, while wavelength usage and transponder cost of optical networks is addressed in [41]. Other works focus on the orchestration and split reconfiguration for the optical fronthaul network [42], and on the development of simulation tools to study the impact of flexible functional split solutions over the underlying optical network [43], [44]. As can be observed, although these works develop split selection policies, they model and analyze the system performance according to particular indicators and features.…”

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confidence: 99%

Flexible Functional Split and Fronthaul Delay: A Queuing-Based Model

et al. 2021

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We study the delay over virtual RAN (vRAN) topologies, entailing base stations that are divided into centralized and distributed units, as well as the packet-switched fronthaul network that connects them. We consider the use of flexible functional split, where the functions that are executed at each of these two entities can be dynamically shifted. We propose a queuing-based model, which is able to precisely mimic the behavior of such nodes, and we validate it by means of extensive simulations. We also exploit Jackson Networks theory to establish the end-to-end delay over the fronthaul network, allowing us to assess the impact of having different networking policies and conditions (for instance, background traffic or heterogeneous technologies). Thanks to the simulator we can also broaden the analysis, by studying the delay variability. In addition, we conduct an in-depth analysis of the performance exhibited by a realistic network setup, whose particular characteristics might hinder the services performance, due to the longer dwell times at each split configuration. The results evince the validity of the proposed model, even under realistic conditions. We show that it might not be enough to guarantee an average stable operation of the centralized/distributed units, but the traffic load should remain below the slowest service rate, to avoid reaching unacceptable delays. An increase of > 100× is observed in the delay, using the realistic network setup, when these conditions do not hold.• We first extend the DU/CU model, by considering not only different service rates per split configuration, but also dwell times. In addition, this enhanced model also permits having different stand-by times after each split, and avoids the possibility of going to the same split after leaving it. • We exploit Jackson Theory and the CU/DU model to yield the overall end-to-end delay, considering the

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