TY - GEN
T1 - Minimizing Rate Variability with Effective Resource Utilization in 5G Networks
AU - Mehmeti, Fidan
AU - La Porta, Thomas F.
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/11/22
Y1 - 2021/11/22
N2 - One of the main features of 5G networks is to provide high data rates with low variability to mobile users. However, this has been shown to be ineffective from the operator's perspective as it leads to abundantly unused network resources. Reallocating the unused resources to the same users increases back the data rate variability. A more efficient way is to provide different low-variability data rates to the users depending on their channel conditions, while not wasting network resources considerably. In this paper, the goal is to minimize the coefficient of variation across all users in the cell. To that end, we consider two approaches, one with reserved resources for every user and the other where the amount of allocated resources is decided on the fly. Then, for each of them, we look at different allocation policies and derive the maximum achievable constant rate for every user. We evaluate the performance on a real trace. Results show that utilizing policies with no-resource-reservation increases considerably the utilization of network resources and the achievable data rates at the expense of a slight increase in variability. Also, using our policies, the waste of resources drops to 15%, which is almost 4x lower than with other state-of-the-art techniques.
AB - One of the main features of 5G networks is to provide high data rates with low variability to mobile users. However, this has been shown to be ineffective from the operator's perspective as it leads to abundantly unused network resources. Reallocating the unused resources to the same users increases back the data rate variability. A more efficient way is to provide different low-variability data rates to the users depending on their channel conditions, while not wasting network resources considerably. In this paper, the goal is to minimize the coefficient of variation across all users in the cell. To that end, we consider two approaches, one with reserved resources for every user and the other where the amount of allocated resources is decided on the fly. Then, for each of them, we look at different allocation policies and derive the maximum achievable constant rate for every user. We evaluate the performance on a real trace. Results show that utilizing policies with no-resource-reservation increases considerably the utilization of network resources and the achievable data rates at the expense of a slight increase in variability. Also, using our policies, the waste of resources drops to 15%, which is almost 4x lower than with other state-of-the-art techniques.
UR - http://www.scopus.com/inward/record.url?scp=85121427332&partnerID=8YFLogxK
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U2 - 10.1145/3479241.3486692
DO - 10.1145/3479241.3486692
M3 - Conference contribution
AN - SCOPUS:85121427332
T3 - MobiWac 2021 - Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access
SP - 1
EP - 9
BT - MobiWac 2021 - Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access
PB - Association for Computing Machinery, Inc
T2 - 19th ACM International Symposium on Mobility Management and Wireless Access, MobiWac 2021
Y2 - 22 November 2021 through 26 November 2021
ER -