Efficient Resource Allocation with Constrained Rate Variability in Cellular Networks

Fidan Mehmeti, Thomas F. La Porta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While LTE networks are known to provide relatively high data rates (on the order of tens of Mbps), these rates exhibit high variability with time. This harms the performance of applications and services requiring stable data rates, such as real-time video streaming, online gaming, XR, etc. 5G emerged as a solution to these kinds of problems. However, strict constant data rates come at the cost of underutilized network resources, which leads to inefficient operation of cellular networks. In this paper, we consider the problem of allocating network resources to cellular users in a way that provides as high a data rate as possible to all users while limiting the rate variation within tight bounds with a given small outage probability. First, we consider the case of static allocation irrespective of channel conditions. Then, we look at the case when resources are allocated dynamically over time. We run simulations on a real trace. Results show that allocating the resources dynamically improves performance over static allocation mechanisms by an additional 10%, and that allowing a slightly higher outage in not complying with the guaranteed data rate further increases the user's throughput.

Original languageEnglish (US)
Title of host publicationQ2SWinet 2021 - Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks
PublisherAssociation for Computing Machinery, Inc
Pages41-49
Number of pages9
ISBN (Electronic)9781450390804
DOIs
StatePublished - Nov 22 2021
Event17th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2021 - Virtual, Online, Spain
Duration: Nov 22 2021Nov 26 2021

Publication series

NameQ2SWinet 2021 - Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks

Conference

Conference17th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2021
Country/TerritorySpain
CityVirtual, Online
Period11/22/2111/26/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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