TY - GEN
T1 - Proportionally Fair Resource Allocation in SD-RAN
AU - Mehmeti, Fidan
AU - Kellerer, Wolfgang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The introduction of Software-Defined Radio Access Networks in 5G, whose main feature is the possibility of decoupling the control plane from the data plane, and associating the former with a controller away from base stations, represents a paradigm shift in the way the network resources are allocated. This property provides an increased flexibility in cellular network operation, yielding significant improvements compared to the pre-5G resource allocation era. However, the full extent to which this amelioration ranges is not yet clear for different metrics of interest and objectives. One such objective is to allocate resources so that proportional fairness is achieved. Therefore, in this paper, we consider analytically the problem of proportionally fair allocation in SD-RAN environments, by deriving the policy which accomplishes that. We do this for two scenarios. In the first, the goal is to provide proportional fairness across all the users in the network, whereas in the second, the objective is to provide proportionally fair allocation in terms of the throughput of all BSs. We evaluate the performance with input parameters from a real trace. Results show that the introduction of SD-RAN increases the value of the objective by up to an order of magnitude compared to the scenario with no SD-RAN.
AB - The introduction of Software-Defined Radio Access Networks in 5G, whose main feature is the possibility of decoupling the control plane from the data plane, and associating the former with a controller away from base stations, represents a paradigm shift in the way the network resources are allocated. This property provides an increased flexibility in cellular network operation, yielding significant improvements compared to the pre-5G resource allocation era. However, the full extent to which this amelioration ranges is not yet clear for different metrics of interest and objectives. One such objective is to allocate resources so that proportional fairness is achieved. Therefore, in this paper, we consider analytically the problem of proportionally fair allocation in SD-RAN environments, by deriving the policy which accomplishes that. We do this for two scenarios. In the first, the goal is to provide proportional fairness across all the users in the network, whereas in the second, the objective is to provide proportionally fair allocation in terms of the throughput of all BSs. We evaluate the performance with input parameters from a real trace. Results show that the introduction of SD-RAN increases the value of the objective by up to an order of magnitude compared to the scenario with no SD-RAN.
KW - 5G
KW - Proportional fairness
KW - SD-RAN
UR - http://www.scopus.com/inward/record.url?scp=85150608838&partnerID=8YFLogxK
U2 - 10.1109/CCNC51644.2023.10060479
DO - 10.1109/CCNC51644.2023.10060479
M3 - Conference contribution
AN - SCOPUS:85150608838
T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
SP - 423
EP - 431
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 -