Dynamic Adjustment of Scheduling Period in Mobile Networks Based on C-RAN

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354065" target="_blank" >RIV/68407700:21230/21:00354065 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/VTC2021-Fall52928.2021.9625329" target="_blank" >https://doi.org/10.1109/VTC2021-Fall52928.2021.9625329</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/VTC2021-Fall52928.2021.9625329" target="_blank" >10.1109/VTC2021-Fall52928.2021.9625329</a>

Result language
angličtina
Original language name
Dynamic Adjustment of Scheduling Period in Mobile Networks Based on C-RAN
Original language description
The cloud radio access network (C-RAN) is considered as one of the compelling architectures to meet requirements of the future mobile networks in term of delivering cutting-edge applications and increasing the network flexibility. However, one of the key challenges to cope with in the C-RAN is the fronthaul delay between the baseband unit (BBU) and remote radio head (RRH). The fronthaul delay impacts negatively on various radio resource management techniques including scheduling. The scheduling suffers from the fronthaul due to an additional delay between the time when inputs for the scheduling are provided by the users and the time when the new scheduling is applied. In this paper, we propose a dynamic adjustment of the centralized scheduling period aiming to suppress the negative impact of the fronthaul delay and to increase the network throughput. To this end, we propose two algorithms estimating the scheduling period for individual users: i) from previous channel quality information, and ii) via a prediction of the future channel quality. Simulation results show that both proposed solutions not only provide a network throughput close to the theoretical upper bound but also outperform existing approaches.
Czech name
—
Czech description
—

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
ISBN
978-1-6654-1369-5
ISSN
2577-2465
e-ISSN
—
Number of pages
7
Pages from-to
1-7
Publisher name
IEEE Conference Publications
Place of publication
Piscataway
Event location
Norman, OK
Event date
Sep 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000786411900208

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