Radio resource management of heterogeneous services in mobile WiMAX systems [Radio Resource Management and Protocol Engineering for IEEE 802.16]

Huang, Ching Yao; Juan, Hung-Hui; Lin, Ming; Chang, Chung-Jun

doi:10.1109/mwc.2007.314547

Cited by 51 publications

(2 citation statements)

References 7 publications

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“…Huang et al consider video streaming, voice over IP and data services when optimizing radio resource management for mobile WiMAX systems. However, they consider only the requested bandwidth per application and do not differentiate between different application quality levels.…”

Section: Background and Related Workmentioning

confidence: 99%

Modelling and performance analysis of application‐aware resource management

et al. 2015

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Summary Application‐aware resource management is the approach to tailor access networks to have characteristics beneficial for the running applications and services. This is achieved through the monitoring and integration of key performance indicators from the application layer within the network resource management. The aim is to increase user‐perceived quality and network resource efficiency by traffic engineering with the help of these indicators. Using analytic and simulative approaches, this paper provides analysis methods for network operators to quantify the performance gains of alternative resource allocation algorithms that implement the application‐aware concept. Network operators can use the proposed methods to evaluate possible performance gain trade‐offs between investing in a pure capacity increase (over‐provisioning) and the realization of an application‐aware resource allocation. For this purpose, we model and analyse the application quality trade‐offs of four algorithms for application‐aware resource management at a single link in varying traffic situations. The algorithms are chosen with respect to different complexity and implementation level in order to cover the design space in a systematic way. The study of the algorithms focuses on the application‐layer performance for the most used applications today, namely, web browsing and video streaming with constant bit rate as well as hypertext transfer protocol progressive streaming with variable bit rate. Application quality trade‐offs are analysed in particular for a high‐resource utilization at a bottleneck link. The results confirm that application‐aware resource management outperforms best‐effort resource management in terms of quality of experience. Moreover, our study provides guidelines for the selection and configuration of the evaluated algorithms. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Background and Related Workmentioning

confidence: 99%

Modelling and performance analysis of application‐aware resource management

et al. 2015

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“…In the case of limited transmission resources, important packets in MPEG videos, mainly I‐frames, are prioritised to optimise the perceived quality. In , a multilayer video encoding with scalable video codec is used. The goal is to control the different layers in different QoS classes with different priorities to specifically drop video layers with less importance if the network is congested.…”

Section: Related Workmentioning

confidence: 99%

Using buffered playtime for QoE‐oriented resource management of YouTube video streaming

Wamser

Hock

Seufert

et al. 2013

Trans. Emerging Tel. Tech.

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YouTube is the most important online platform for streaming video clips. The popularity and the continuously increasing number of users pose new challenges for Internet service providers. In particular, in access networks where the transmission resources are limited and the providers are interested in reducing their operational expenditure, it is worth to efficiently optimise the network for popular services such as YouTube. In this paper, we propose different resource management mechanisms to improve the quality of experience (QoE) of YouTube users. In particular, we investigate the benefit of cross-layer resource management actions at the client and in the access network for YouTube video streaming. The proposed algorithms are evaluated in a wireless mesh testbed. The results show how to improve the YouTube QoE for the users with the help of client-based or network-based control actions

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System‐Level Simulation for Femtocell Scenarios

Pérez

Song

2009

Femtocells

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Radio resource management of heterogeneous services in mobile WiMAX systems [Radio Resource Management and Protocol Engineering for IEEE 802.16]

Cited by 51 publications

References 7 publications

Modelling and performance analysis of application‐aware resource management

Modelling and performance analysis of application‐aware resource management

Using buffered playtime for QoE‐oriented resource management of YouTube video streaming

System‐Level Simulation for Femtocell Scenarios

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