Characterizing Traffic Performance in Cellular Networks

Tocado, Francisco Javier Rivas; Zayas, Almudena Díaz; Gómez, Pedro Merino

doi:10.1109/mic.2013.125

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…could be of interest from the monitoring perspective [128], [129]. Also, the production of data available will undoubtedly increase with the advent of Internet of Things, and how to effectively manage, mine, and use this data to improve QoE monitoring and analysis is decisive [130], [131]. provides only video quality estimations.…”

Section: Standard Modelsmentioning

confidence: 99%

Contribution to quality of user experience provision over wireless networks

Iborra¹,

Jesús²

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The widespread expansion of wireless networks has brought new attractive possibilities to end users. In addition to the mobility capabilities provided by unwired devices, it is worth remarking the easy configuration process that a user has to follow to gain connectivity through a wireless network. Furthermore, the increasing bandwidth provided by the IEEE 802.11 family has made possible accessing to high-demanding services such as multimedia communications. Multimedia traffic has unique characteristics that make it greatly vulnerable against network impairments, such as packet losses, delay, or jitter. Voice over IP (VoIP) communications, video-conference, video-streaming, etc., are examples of these high-demanding services that need to meet very strict requirements in order to be served with acceptable levels of quality. Accomplishing these tough requirements will become extremely important during the next years, taking into account that consumer video traffic will be the predominant traffic in the Internet during the next years. In wired systems, these requirements are achieved by using Quality of Service (QoS) techniques, such as Differentiated Services (DiffServ), traffic engineering, etc. However, employing these methodologies in wireless networks is not that simple as many other factors impact on the quality of the provided service, e.g., fading, interferences, etc. Focusing on the IEEE 802.11g standard, which is the most extended technology for Wireless Local Area Networks (WLANs), it defines two different architecture schemes. On one hand, the infrastructure mode consists of a central point, which manages the network, assuming network controlling tasks such as IP assignment, routing, accessing security, etc. The rest of the nodes composing the network act as hosts, i.e., they send and receive traffic through the central point. On the other hand, the IEEE 802.11 ad-hoc configuration mode is less extended than the infrastructure one. Under this scheme, there is not a central point in the network, but all the nodes composing the network assume both host and router roles, which permits the quick deployment of a network without a pre-existent infrastructure. This type of networks, so called Mobile Ad-hoc NETworks (MANETs), presents interesting characteristics for situations when the fast deployment of a communication system is needed, e.g., tactics networks, disaster events, or temporary networks. The benefits provided by MANETs are varied, including high mobility possibilities provided to the nodes, network Contribution to Quality of user Experience Provision over Wireless Networks II 5.

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Section: Standard Modelsmentioning

confidence: 99%

Contribution to quality of user experience provision over wireless networks

Iborra¹,

Jesús²

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PerformLTE: A Testbed for LTE Testing in the Future Internet

Díaz-Zayas

García-Pérez

Recio-Pérez

et al. 2015

Lecture Notes in Computer Science

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Abstract. The flat architecture adopted in LTE increases the scalability of the network in order to accommodate large volumes of user traffic, reduces packet latency and the cost per byte. At the same time the enhanced Node B (eNB) has increased its complexity which have implied the appearance of new challenges in the field of experimental performance tests [1]. To cope with these challenges, access to a real and controlled experimentation environment is needed. Nevertheless, the high cost of laboratory equipment makes it difficult to carry out realistic experiments for most research teams, whose work usually rely on simulations. A combination of highly configurable equipment and software tools accessed remotely seems to be the best solution to improve research activities around LTE technologies and beyond. PerformLTE testbed provides a controlled environment where LTE end-to-end IP communication, including radio impairments and network perturbations, and complex network setups can be reproduced.

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