TY - GEN
T1 - Maximizing Network Throughput Using SD-RAN
AU - Mehmeti, Fidan
AU - Papa, Arled
AU - Kellerer, Wolfgang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Software-Defined Radio Access Networks (SD-RANs), introduced in 5G, represent a paradigm shift in the process of cellular network resource allocation. The decoupling of the control from the data plane, and associating the former with a controller away from Base Stations (BSs), has enabled an increased flexibility in allocating network resources which would lead to performance improvements. However, so far, it is not yet clear to what extent this amelioration ranges in terms of the maximum throughput that can be achieved. Therefore, in this paper, we consider analytically the problem of maximizing the overall network throughput in an SD-RAN environment, by deriving the policy which accomplishes that along with the total throughput, of interest to cellular operators. We assess the performance with real user traces. Results show that the introduction of SD-RAN improves performance by at least 20%.
AB - Software-Defined Radio Access Networks (SD-RANs), introduced in 5G, represent a paradigm shift in the process of cellular network resource allocation. The decoupling of the control from the data plane, and associating the former with a controller away from Base Stations (BSs), has enabled an increased flexibility in allocating network resources which would lead to performance improvements. However, so far, it is not yet clear to what extent this amelioration ranges in terms of the maximum throughput that can be achieved. Therefore, in this paper, we consider analytically the problem of maximizing the overall network throughput in an SD-RAN environment, by deriving the policy which accomplishes that along with the total throughput, of interest to cellular operators. We assess the performance with real user traces. Results show that the introduction of SD-RAN improves performance by at least 20%.
KW - 5G
KW - Performance optimization
KW - SD-RAN
UR - http://www.scopus.com/inward/record.url?scp=85150420599&partnerID=8YFLogxK
U2 - 10.1109/CCNC51644.2023.10059833
DO - 10.1109/CCNC51644.2023.10059833
M3 - Conference contribution
AN - SCOPUS:85150420599
T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
SP - 561
EP - 566
BT - 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE Consumer Communications and Networking Conference, CCNC 2023
Y2 - 8 January 2023 through 11 January 2023
ER -