Allocation of Resources for HARQ Retransmission in Mobile Networks Based on C-RAN
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00370736" target="_blank" >RIV/68407700:21230/24:00370736 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/JSYST.2023.3327823" target="_blank" >https://doi.org/10.1109/JSYST.2023.3327823</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JSYST.2023.3327823" target="_blank" >10.1109/JSYST.2023.3327823</a>
Alternative languages
Result language
angličtina
Original language name
Allocation of Resources for HARQ Retransmission in Mobile Networks Based on C-RAN
Original language description
The radio resources are utilized for both transmissions of new data and for retransmission(s) of erroneous data to handle errors due to transmission over the wireless link. Hence, the more retransmissions occur, the fewer resources remain available for transmission of new data resulting in a lower goodput. This problem is even emphasized in cloud radio access networks (C-RAN), where remote radio heads (RRHs) cooperate with baseband unit (BBU) over fronthaul imposing additional delay and limiting goodput. In this article, we propose a flexible and dynamic Hybrid Automatic Repeat reQuest (HARQ) resource pre-allocation based on the actual retransmission needs of individual user equipments (UEs). This is managed by two algorithms, first exploiting information on the error rate experienced by individual UEs and the second using the length of the scheduling period of the UEs. Both algorithms are further integrated together to improve the efficiency of the HARQ retransmissions resource pre-allocation. Simulation results show the proposed solution provides goodput close to the theoretical upper-bound while outperforming existing approaches by up to 39%. Furthermore, the transport block loss rate and mean absolute percentage error of the amount of pre-allocated resources for the HARQ are notably decreased by around 38% and 57%, respectively.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Systems Journal
ISSN
1932-8184
e-ISSN
1937-9234
Volume of the periodical
18
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
450-461
UT code for WoS article
001123360200001
EID of the result in the Scopus database
2-s2.0-85178069288