QoS Load Differentiation Application in a UTRAN Live Network

Abstract

Quality of Service (QoS) Load Differentiation mechanisms allow a network to allocate resources to users in situations of capacity constraints depending on their priority. The need to apply QoS mechanisms is driven by the increased demand for finite resources and in the case of cellular networks this has been exacerbated largely due to HSPA data traffic growth. This paper describes results of a QoS investigation on a real live UTRAN network with a significant number of real users. The results presented show improvements in terms of throughput and delay. The trial led to the identification and confirmation of an "optimum proportion" of "highest class" users in a network under various traffic conditions initially via an HSPA traffic model then via real traffic profiles in the live network. This exercise has led to the identification and proposal of two new algorithms and are outlined in this paper: Iub congestion control is improved to prioritize users per node B (inter-cell) and a new scheduler algorithm is proposed to take into account the users/services delay depending on their priority.

Modeling and analysis of QoS class mapping for hybrid QoS domains using Flow Aggregate

“…Reference [12] proposed a method of mapping the Long Term Evolution (LTE) QoS parameters in order to improve the quality of experience of the end-user when an e-learning application was deployed over a LTE network. The Virtual Topology Service (VTS) [13] showed that one can simply study the process of QoS class mapping by imagining a virtue plane Wang Zai-jian (1)(2) , Yu-ning Dong (1) , Hai-xian Shi (3) , and Zhang Hui (1) ( [14] presented an asymmetric QoS mapping mechanism in the handover between terrestrial and satellite networks which reduces handover blocking probability. Reference [15] proposed a novel end-to-end QoS guaranteed approach in Cognitive Mobile Ad hoc Networks (MANETs), in which a "black box" concept is adopted and end-to-end QoS condition is reflected by some typical QoS parameters.…”

“…For end-to-end QoS, several efforts have been done to integrate QoS mapping solutions [1] [2]. In [3], the concept of QoS classes is recommended.…”

Performance Evaluation of e-Learning Applications in UMTS Network

“…They include studies on impact of base station and antenna configuration to improve cell capacity [2], [3] and access network dimensioning to optimize cost of network deployment as well as supporting multiple applications with different QoS constraints [4]. On the other hand, application-oriented performance, which is also referred to as user-perceived QoS studies were done analytically [5], [6] or based on measurements from live operational networks [7], [8], [9].…”