Abstract
Differentiated quality-of-Service (QoS) techniques are widely used to distinguish between different service classes and prioritize service needs in mobile networks. Mobile Network Operators (MNOs) utilize QoS techniques to develop strategies that are supported by the mobile network infrastructure. However, QoS deployment strategy can ensure that the radio resources provided by the base station are easily consumed if it is not used correctly or when different techniques are used all together. In this paper, we propose a scheduling algorithm and compare two different QoS deployment strategies for prioritized User Equipment (UEs) (with higher scheduling rates and dedicated bandwidth) that MNOs can use in the current infrastructure, using a commercial real-time Long Term Evolution (LTE) network in different test scenarios. Moreover, we expose the real-time user experience in terms of uplink throughput and analyze results of the UE’s real-time key performance indicators (KPIs) in detail. Experiment results are evaluated considering the implications of different QoS support types on network coverage and capacity planning optimizations. Our results demonstrate that even though pre-configured resource allocations can be given to prioritize UEs, the experience of all the UEs can be affected unexpectedly in the presence of many UEs who have received different QoS deployment support. Our experimental observations have revealed that location of the UEs with respect to Base Station (BS) and the availability of dedicated bandwidth UEs inside cell may have implications on the apriori defined resource allocation strategies of the other UEs.
Highlights
In mobile networks, quality-of-service (QoS) refers to the capability of providing better service for the selected traffic types of a network under the same underlying technology
The experiments were run with three different user equipment (UE) types that are created inside the Long Term Evolution (LTE) network infrastructure. (ii) We detail some of the characteristics, limitations and benefits of utilizing prioritized UEs with dedicated bandwidth requirements and higher scheduling rates inside cellular infrastructure. (iii) We have shown experimentally that deploying proposed QoS strategies for diverse set of UEs requires careful network capacity and coverage planning, which are detailed in discussions and main takeaways section of the paper
WORK In this paper, we have investigated a potential solution of providing better QoS support for differentiated types of UEs to improve the performance of the services provided by Mobile Network Operators (MNOs)
Summary
Quality-of-service (QoS) refers to the capability of providing better service for the selected traffic types of a network under the same underlying technology. The mobile network is aware of the services that are marked with QoS differentiation and handles them differently in accordance with the QoS deployment strategy of the MNO. This differentiation can only be done for the services used by certain UEs that are pre-configured in Core Network (CN), transport network and radio access network (RAN). Zeydan et al.: Performance Comparison of QoS Deployment Strategies for Cellular Network Services based on QoS deployment strategy In this case, the main focus of MNOs is to select the most suitable techniques to manage the underlying network resources efficiently.
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