A simulation study of video conferencing system over IEEE 802.11n Wireless LAN

Wireless local area network (WLAN) is the core of the classic wireless communications systems and owns the infrastructure which wide spreads in many regions in the world. IEEE 802.11n is an attractive standard of WLAN and offers a data capacity of the cell. This paper estimates the maximum limits of the IEEE 802.11n standard cell as a term of number of users which are successfully served by the cell in case of video conference application. The results shown that, the cell of 802.11n could serve about 9 users under the service of video conference in case of 20MHz channel bandwidth before congestion occurs while the 40MHz channel could support 18 users

Revenue requirements for mobile operators with ultra-high mobile broadband data traffic growth.

Mobile broadband data access over cellular networks has been established as a major new service in just a few years. The mobile broadband penetration has risen from almost zero to between 10 and 15 per cent in Western European leading markets from 2007 to the end of 2009. More than 75% of network traffic was broadband data in 2009, and the data volumes are growing rapidly. But the revenue generation is the reverse as the average for operators in Europe in 2009 was around 77 per cent of service revenues from voice, 10 per cent from SMS and 13 per cent from other data. Voice and broadband data service are built on two quite different business models. Voice pricing is volume based. Revenue depends linearly on the number of voice minutes. Broadband data service on the other hand is mainly flat fee based even if different levels are being introduced as well as tiers. Revenue is decoupled from traffic and therefore also from operating costs and investment requirements. This is what we define as a revenue gap. Earnings as well as internal financing will suffer from increasing traffic per user unless the flat fee can be raised or changed to volume based, other revenue can be obtained and/or operating costs and investments can be reduced accordingly. Observable trends and common forecasts indicate strong growth of mobile broadband traffic as well as declining revenue from mobile voice in the next five year period. This outlook suggests a prospective revenue gap with weak top-line growth and expanding operating costs and investment requirements. This is not only a profitability and cash flow issue. It may also severely restrict the industry's revenue and profit growth potential if it is handled mainly by cost-cutting. In sections 2 - 4 we describe related work, our contribution, the specific research questions as well as the methodology and its problems. Section 5 is an overview of mobile operators' revenue, its sources and development till today. Section 6 presents trends, developments and published forecasts that may be relevant for the future. Section 7 contains our conclusions. --Mobile broadband,mobile operator revenues,revenue requirements,voice revenues,non-voice revenues

Treatment-Based Classi?cation in Residential Wireless Access Points

IEEE 802.11 wireless access points (APs) act as the central communication hub inside homes, connecting all networked devices to the Internet. Home users run a variety of network applications with diverse Quality-of-Service requirements (QoS) through their APs. However, wireless APs are often the bottleneck in residential networks as broadband connection speeds keep increasing. Because of the lack of QoS support and complicated configuration procedures in most off-the-shelf APs, users can experience QoS degradation with their wireless networks, especially when multiple applications are running concurrently. This dissertation presents CATNAP, Classification And Treatment iN an AP , to provide better QoS support for various applications over residential wireless networks, especially timely delivery for real-time applications and high throughput for download-based applications. CATNAP consists of three major components: supporting functions, classifiers, and treatment modules. The supporting functions collect necessary flow level statistics and feed it into the CATNAP classifiers. Then, the CATNAP classifiers categorize flows along three-dimensions: response-based/non-response-based, interactive/non-interactive, and greedy/non-greedy. Each CATNAP traffic category can be directly mapped to one of the following treatments: push/delay, limited advertised window size/drop, and reserve bandwidth. Based on the classification results, the CATNAP treatment module automatically applies the treatment policy to provide better QoS support. CATNAP is implemented with the NS network simulator, and evaluated against DropTail and Strict Priority Queue (SPQ) under various network and traffic conditions. In most simulation cases, CATNAP provides better QoS supports than DropTail: it lowers queuing delay for multimedia applications such as VoIP, games and video, fairly treats FTP flows with various round trip times, and is even functional when misbehaving UDP traffic is present. Unlike current QoS methods, CATNAP is a plug-and-play solution, automatically classifying and treating flows without any user configuration, or any modification to end hosts or applications

Quality of service differentiation for multimedia delivery in wireless LANs

Delivering multimedia content to heterogeneous devices over a variable networking environment while maintaining high quality levels involves many technical challenges. The research reported in this thesis presents a solution for Quality of Service (QoS)-based service differentiation when delivering multimedia content over the wireless LANs. This thesis has three major contributions outlined below: 1. A Model-based Bandwidth Estimation algorithm (MBE), which estimates the available bandwidth based on novel TCP and UDP throughput models over IEEE 802.11 WLANs. MBE has been modelled, implemented, and tested through simulations and real life testing. In comparison with other bandwidth estimation techniques, MBE shows better performance in terms of error rate, overhead, and loss. 2. An intelligent Prioritized Adaptive Scheme (iPAS), which provides QoS service differentiation for multimedia delivery in wireless networks. iPAS assigns dynamic priorities to various streams and determines their bandwidth share by employing a probabilistic approach-which makes use of stereotypes. The total bandwidth to be allocated is estimated using MBE. The priority level of individual stream is variable and dependent on stream-related characteristics and delivery QoS parameters. iPAS can be deployed seamlessly over the original IEEE 802.11 protocols and can be included in the IEEE 802.21 framework in order to optimize the control signal communication. iPAS has been modelled, implemented, and evaluated via simulations. The results demonstrate that iPAS achieves better performance than the equal channel access mechanism over IEEE 802.11 DCF and a service differentiation scheme on top of IEEE 802.11e EDCA, in terms of fairness, throughput, delay, loss, and estimated PSNR. Additionally, both objective and subjective video quality assessment have been performed using a prototype system. 3. A QoS-based Downlink/Uplink Fairness Scheme, which uses the stereotypes-based structure to balance the QoS parameters (i.e. throughput, delay, and loss) between downlink and uplink VoIP traffic. The proposed scheme has been modelled and tested through simulations. The results show that, in comparison with other downlink/uplink fairness-oriented solutions, the proposed scheme performs better in terms of VoIP capacity and fairness level between downlink and uplink traffic

Emerging technologies for learning (volume 1)

Collection of 5 articles on emerging technologies and trend

Analyse intelligente de la qualité d'expérience (QoE) dans les réseaux de diffusion de contenu web et mutimédia

Today user experience is becoming a reliable indicator for service providers and telecommunication operators to convey overall end to end system functioning. Moreover, to compete for a prominent market share, different network operators and service providers should retain and increase the customers’ subscription. To fulfil these requirements they require an efficient Quality of Experience (QoE) monitoring and estimation. However, QoE is a subjective metric and its evaluation is expensive and time consuming since it requires human participation. Therefore, there is a need for an objective tool that can measure the QoE objectively with reasonable accuracy in real-Time. As a first contribution, we analyzed the impact of network conditions on Video on Demand (VoD) services. We also proposed an objective QoE estimation tool that uses fuzzy expert system to estimate QoE from network layer QoS parameters. As a second contribution, we analyzed the impact of MAC layer QoS parameters on VoD services over IEEE 802.11n wireless networks. We also proposed an objective QoE estimation tool that uses random neural network to estimate QoE from the MAC layer perspective. As our third contribution, we analyzed the effect of different adaption scenarios on QoE of adaptive bit rate streaming. We also developed a web based subjective test platform that can be easily integrated in a crowdsourcing platform for performing subjective tests. As our fourth contribution, we analyzed the impact of different web QoS parameters on web service QoE. We also proposed a novel machine learning algorithm i.e. fuzzy rough hybrid expert system for estimating web service QoE objectivelyDe nos jours, l’expérience de l'utilisateur appelé en anglais « User Experience » est devenue l’un des indicateurs les plus pertinents pour les fournisseurs de services ainsi que pour les opérateurs de télécommunication pour analyser le fonctionnement de bout en bout de leurs systèmes (du terminal client, en passant par le réseaux jusqu’à l’infrastructure des services etc.). De plus, afin d’entretenir leur part de marché et rester compétitif, les différents opérateurs de télécommunication et les fournisseurs de services doivent constamment conserver et accroître le nombre de souscription des clients. Pour répondre à ces exigences, ils doivent disposer de solutions efficaces de monitoring et d’estimation de la qualité d'expérience (QoE) afin d’évaluer la satisfaction de leur clients. Cependant, la QoE est une mesure qui reste subjective et son évaluation est coûteuse et fastidieuse car elle nécessite une forte participation humaine (appelé panel de d’évaluation). Par conséquent, la conception d’un outil qui peut mesurer objectivement cette qualité d'expérience avec une précision raisonnable et en temps réel est devenue un besoin primordial qui constitue un challenge intéressant à résoudre. Comme une première contribution, nous avons analysé l'impact du comportement d’un réseau sur la qualité des services de vidéo à la demande (VOD). Nous avons également proposé un outil d'estimation objective de la QoE qui utilise le système expert basé sur la logique floue pour évaluer la QoE à partir des paramètres de qualité de service de la couche réseau. Dans une deuxième contribution, nous avons analysé l'impact des paramètres QoS de couche MAC sur les services de VoD dans le cadre des réseaux sans fil IEEE 802.11n. Nous avons également proposé un outil d'estimation objective de la QoE qui utilise le réseau aléatoire de neurones pour estimer la QoE dans la perspective de la couche MAC. Pour notre troisième contribution, nous avons analysé l'effet de différents scénarios d'adaptation sur la QoE dans le cadre du streaming adaptatif au débit. Nous avons également développé une plate-Forme Web de test subjectif qui peut être facilement intégré dans une plate-Forme de crowd-Sourcing pour effectuer des tests subjectifs. Finalement, pour notre quatrième contribution, nous avons analysé l'impact des différents paramètres de qualité de service Web sur leur QoE. Nous avons également proposé un algorithme d'apprentissage automatique i.e. un système expert hybride rugueux basé sur la logique floue pour estimer objectivement la QoE des Web service

Avaliação do desempenho de novos serviços em redes IP

Mestrado em Engenharia Electrónica e TelecomunicaçõesOs benefícios económicos de fornecer múltiplos serviços numa única rede têm despertado grande interesse na introdução dos serviços VoIP e IPTV na internet. No entanto, estes serviços possuem requisitos rigorosos de qualidade de serviço, que a internet não está preparada para fornecer. Esta dissertação possui dois objectivos principais: O primeiro consiste em testar o comportamento dos serviços de IPTV e VoIP nas tecnologias IP existentes como Ethernet, IEEE 802.11 e ADSL quando expostas a diferentes condições de carga. Pretende-se também identificar os efeitos nos serviços de VoIP e IPTV de outros serviços como FTP, correio electrónico e HTTP. Foi utilizado OpNet um simulador de redes bastante popular ao no ambiente académico. Os resultados das simulações fornecem orientações importantes sobre a capacidade máxima de cada tecnologia tendo em conta os requisitos de qualidade de serviço; por outro lado identificam os serviços mais destrutivos para IPTV e VoIP. O segundo objectivo é a implementação de um modelo que permite a monitorização dos serviços de VoIP e IPTV, analisa os indicadores de desempenho reunidos e grava esses indicadores numa base de dados. Todo este processo será efectuado em tempo real com o objectivo de manter a base de dados actualizada. Os resultados disponibilizados por esta estrutura permitem uma melhor gestão da rede, os prestadores de serviços podem ter informações actualizadas sobre o desempenho dos seus serviços, consequentemente é possível identificar uma falha ou uma tendência futura. ABSTRACT: The economical benefits of providing multiple services over a single network infrastructure have spawned great interest in the introduction of new services, such VoIP and IPTV, in the Internet. However, these services have stringent Quality of Service requirements that the Internet was not designed to meet. This dissertation has two main objectives: The first objective is to test the behavior of IPTV and VoIP services in the existing IP network technologies such as Ethernet, IEEE 802.11 and ADSL when exposed to different load conditions; and identify the effects of other services such as FTP, Email and HTTP in VoIP and IPTV demands. In our work we use OpNet, a popular network simulator in the academic environment. The simulation results provide important guidelines about the maximum capacity of each technology keeping in mind QoS requirements; on the other hand, they enable identification of the most damaging services for VoIP and IPTV. The second objective is the implementation of a framework that allows monitoring VoIP and IPTV services, analyzing the collected performance measurements, and storing them in a database; all these processes will be performed in real time in order to keep the database up to date. The results available by this framework allow a better network management, the service providers can have current information about their services performance, and consequently it is possible to identify a failure or a future trend

Network and service monitoring in heterogeneous home networks

Home networks are becoming dynamic and technologically heterogeneous. They consist of an increasing number of devices which offer several functionalities and can be used for many different services. In the home, these devices are interconnected using a mixture of networking technologies (for example, Ethernet, Wifi, coaxial cable, or power-line). However, interconnecting these devices is often not easy. The increasing heterogeneity has led to significant device- and service-management complexity. In addition, home networks provide a critical "last meters" access to the public telecom and Internet infrastructure and have a dramatic impact on to the end-to-end reliability and performance of services from these networks. This challenges service providers not only to maintain a satisfactory quality of service level in such heterogeneous home networks, but also to remotely monitor and troubleshoot them. The present thesis work contributes research and several solutions in the field of network and service monitoring in home networks, mainly in three areas: (1) providing automatic device- and service-discovery and configuration, (2) remote management, and (3) providing quality of service (QoS). With regard to the first area, current service discovery technology is designed to relieve the increasing human role in network and service administration. However, the relevant Service Discovery Protocols (SDPs) are lacking crucial features namely: (1) they are not platform- and network-independent, and (2) they do not provide sufficient mechanisms for (device) resource reservation. Consequently, devices implementing different SDPs cannot communicate with each other and share their functionalities and resources in a managed way, especially when they use different network technologies. As a solution to the first problem, we propose a new proxy server architecture that enables IP-based devices and services to be discovered on non-IP based network and vice versa. We implemented the proxy architecture using UPnP respectively Bluetooth SDP as IP- and non-IP-based SDPs. The proxy allows Bluetooth devices and UPnP control points to discover, access, and utilize services located on the other network. Validation experiments with the proxy prototype showed that seamless inter-working can be achieved keeping all proxy functionalities on a single device, thus not requiring modification of currently existing UPnP and Bluetooth end devices. Although the proxy itself taxes the end-to-end performance of the service, it is shown to be still acceptable for an end user. For mitigating resource conflicts in SDPs, we propose a generic resource reservation scheme with properties derived from common SDP operation. Performance studies with a prototype showed that this reservation scheme significantly improves the scalability and sustainability of service access in SDPs, at a minor computational cost. With regard to the second area, it is known that the end-to-end quality of Internet services depends crucially on the performance of the home network. Consequently, service providers require the ability to monitor and configure devices in the home network, behind the home gateway (HG). However, they can only put limited requirements to these off-the-shelf devices, as the consumer electronics market is largely outside their span of control. Therefore they have to make intelligent use of the given device control and management protocols. In this work, we propose an architecture for remote discovery and management of devices in a highly heterogeneous home network. A proof-of-concept is developed for the remote management of UPnP devices in the home with a TR-069/UPnP proxy on the HG. Although this architecture is protocol specific, it can be easily adapted to other web-services based protocols. Service providers are also asking for diagnostic tools with which they can remotely troubleshoot the home networks. One of these tools should be able to gather information about the topology of the home network. Although topology discovery protocols already exist, nothing is known yet about their performance. In this work we propose a set of key performance indicators for home network topology discovery architectures, and how they should be measured. We applied them to the Link-Layer Topology Discovery (LLTD) protocol and the Link-Layer Discovery Protocol (LLDP). Our performance measurement results show that these protocols do not fulfill all the requirements as formulated by the service providers. With regard to the third area, current QoS solutions are mostly based on traffic classification. Because they need to be supported by all devices in the network, they are relatively expensive for home networks. Furthermore, they are not interoperable between different networking technologies. Alternative QoS provision techniques have been proposed in the literature. These techniques require end-user services to pragmatically adapt their properties to the actual condition of the network. For this, the condition of the home network in terms of its available bandwidth, delay, jitter, etc., needs to be known in real time. Appropriate tools for determining the available home network resources do not yet exist. In this work we propose a new method to probe the path capacity and available bandwidth between a server and a client in a home network. The main features of this method are: (a) it does not require adaptation of existing end devices, (b) it does not require pre-knowledge of the link-layer network topology, and (c) it is accurate enough to make reliable QoS predictions for the most relevant home applications. To use these predictions for effective service- or content-adaptation or admission control, one should also know how the state of the home network is expected to change immediately after the current state has been probed. However, not much is known about the stochastic properties of traffic in home networks. Based on a relatively small set of traffic observations in several home networks in the Netherlands, we were able to build a preliminary model for home network traffic dynamics

Cost Effective Broadband Access Network Using Wi-Fi over Passive Optical Network

Demand for broadband network is rapidly increasing the volume of data traffic from users. To meet this demand and provide customers with cost effective solutions, service providers concentrate mostly on the access network. Competition among the service providers leads to different broadband access technologies to serve customers with the best solution. Custom-ers’ demands for real time applications, as well as downloading of video and other applica-tions require high bandwidth allocation with high data rate. Also Governments put a sub-stantial influence in providing the cost effective solution to the different geographical loca-tion of country. As a result, service providers concentrate on minimizing the deployment cost for access equipment while maximizing the revenue from the service offerings. In this paper, we have proposed broadband access technology using Wi-Fi over Passive Optical Net-work(PON)to provide a cost effective solution considering geographical as well as economi-cal conditions. Introducing smart antennas such as narrow-beamwidth and switched array antennas can substantially improve the coverage distance for Wi-Fi access. For areas where the distance among houses is large, we propose to deploy Wi-Fi access instead of laying fi-bers. The optimization model to determine the number of Wi-Fi access points and to minimize the total cost of the network has been tuned to performance improvement