A network resource availability model for IEEE802.11a/b-based WLAN carrying different service types

The electronic version of this article is the complete one and can be found online at: http://jwcn.eurasipjournals.com/content/2011/1/103. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Operators of integrated wireless systems need to have knowledge of the resource availability in their different access networks to perform efficient admission control and maintain good quality of experience to users. Network availability depends on the access technology and the service types. Resource availability in a WLAN is complex to gather when UDP and TCP services co-exist. Previous study on IEEE802.11a/b derived the achievable throughput under the assumption of inelastic and uniformly distributed traffic. Further study investigated TCP connections and derived a model to calculate the effective transmission rate of packets under the assumption of saturated traffic flows. The assumptions are too stringent; therefore, we developed a model for evaluating WLAN resource availability that tries to narrow the gap to more realistic scenarios. It provides an indication of WLAN resource availability for admitting UDP/TCP requests. This article presents the assumptions, the mathematical formulations, and the effectiveness of our model

EVEREST IST - 2002 - 00185 : D23 : final report

Deliverable públic del projecte europeu EVERESTThis deliverable constitutes the final report of the project IST-2002-001858 EVEREST. After its successful completion, the project presents this document that firstly summarizes the context, goal and the approach objective of the project. Then it presents a concise summary of the major goals and results, as well as highlights the most valuable lessons derived form the project work. A list of deliverables and publications is included in the annex.Postprint (published version

Cross-Layer measurement on an IEEE 802.11g wireless network supporting MPEG-2 video streaming applications in the presence of interference

The performance of wireless local area networks supporting video streaming applications, based on MPEG-2 video codec, in the presence of interference is here dealt with. IEEE 802.11g standard wireless networks, that do not support QoS in according with IEEE 802.11e standard, are, in particular, accounted for and Bluetooth signals, additive white Gaussian noise, and competitive data traffic are considered as sources of interference. The goal is twofold: from one side, experimentally assessing and correlating the values that some performance metrics assume at the same time at different layers of an IEEE 802.11g WLAN delivering video streaming in the presence of in-channel interference; from the other side, deducing helpful and practical hints for designers and technicians, in order to efficiently assess and enhance the performance of an IEEE 802.11g WLAN supporting video streaming in some suitable setup conditions and in the presence of interference. To this purpose, an experimental analysis is planned following a cross-layer measurement approach, and a proper testbed within a semianechoic chamber is used. Valuable results are obtained in terms of signal-to-interference ratio, packet loss ratio, jitter, video quality, and interference data rate; helpful hints for designers and technicians are finally gained

Packet Loss in Terrestrial Wireless and Hybrid Networks

The presence of both a geostationary satellite link and a terrestrial local wireless link on the same path of a given network connection is becoming increasingly common, thanks to the popularity of the IEEE 802.11 protocol. The most common situation where a hybrid network comes into play is having a Wi-Fi link at the network edge and the satellite link somewhere in the network core. Example of scenarios where this can happen are ships or airplanes where Internet connection on board is provided through a Wi-Fi access point and a satellite link with a geostationary satellite; a small office located in remote or isolated area without cabled Internet access; a rescue team using a mobile ad hoc Wi-Fi network connected to the Internet or to a command centre through a mobile gateway using a satellite link. The serialisation of terrestrial and satellite wireless links is problematic from the point of view of a number of applications, be they based on video streaming, interactive audio or TCP. The reason is the combination of high latency, caused by the geostationary satellite link, and frequent, correlated packet losses caused by the local wireless terrestrial link. In fact, GEO satellites are placed in equatorial orbit at 36,000 km altitude, which takes the radio signal about 250 ms to travel up and down. Satellite systems exhibit low packet loss most of the time, with typical project constraints of 10−8 bit error rate 99% of the time, which translates into a packet error rate of 10−4, except for a few days a year. Wi-Fi links, on the other hand, have quite different characteristics. While the delay introduced by the MAC level is in the order of the milliseconds, and is consequently too small to affect most applications, its packet loss characteristics are generally far from negligible. In fact, multipath fading, interference and collisions affect most environments, causing correlated packet losses: this means that often more than one packet at a time is lost for a single fading even

A Network Algorithm for 3D/2D IPTV Distribution using WiMAX and WLAN Technologies

The final publication is available at link.springer.comThe appearance of new broadband wireless technologies jointly with the ability to offer enough quality of service to provide IPTV over them, have made possible the mobility and ubiquity of any type of device to access the IPTV network. The minimum bandwidth required in the access network to provide appropriate quality 3D/2D IPTV services jointly with the need to guarantee the Quality of Experience (QoE) to the end user, makes the need of algorithms that should be able to combine different wireless standards and technologies. In this paper, we propose a network algorithm that manages the IPTV access network and decides which type of wireless technology the customers should connect with when using multiband devices, depending on the requirements of the IPTV client device, the available networks, and some network parameters (such as the number of loss packets and packet delay), to provide the maximum QoE to the customer. The measurements taken in a real environment from several wireless networks allow us to know the performance of the proposed system when it selects each one of them. The measurements taken from a test bench demonstrate the success of our system.This work has been partially supported by the Polytechnic University of Valencia, though the PAID-15-10 multidisciplinary projects, by the Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal, and by National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia through the PEst-OE/EEI/LA0008/2011 Project.Lloret, J.; Cánovas Solbes, A.; Rodrigues, JJPC.; Lin, K. (2013). A Network Algorithm for 3D/2D IPTV Distribution using WiMAX and WLAN Technologies. Multimedia Tools and Applications. 67(1):7-30. https://doi.org/10.1007/s11042-011-0929-4S730671Abukharis S, MacKenzie R, Farrell TO (2009) Improving QoS of Video Transmitted Over 802.11 WLANs Using Frame Aggregation. London Communications Symposium.. London, United Kingdom, September 03–04Alejandro Canovas, Fernando Boronat, Carlos Turro and Jaime Lloret (2009) Multicast TV over WLAN in a University Campus Network, The Fifth International Conference on Networking and Services (ICNS 2009), Valencia (Spain), April 20–25Alfonsi B (2005) “I want my IPTV: Internet Protocol television predicted a winner,” IEEE Distributed Systems Online, vol.6, no.2Birlik F, Gurbuz Ö, Ercetin O (2009) IPTV Home Networking via 802.11 Wireless Mesh Networks: An Implementation Experience. IEEE Trans. on Consumer Electronics, Vol. 55, No. 3Cai LX, Ling X, Shen X, Mark JW, Cai L (2009) Supporting voice and video applications over IEEE 802.11n WLANs. Wireless Networks 15:443–454Cunningham G, Perry P, Murphy J, Murphy L (2009) Seamless Handover of IPTV Streams in a Wireless LAN Network. Transactions on Broadcasting, IEEE 55(4):796–801Dai Z, Fracchia R, Gosteau J, Pellati P, Vivier G (2008) Vertical Handover Criteria and Algorithm in IEEE802.11 and 802.16 Hybrid Networks, IEEE International Conference on Communications, 2008. ICC’08. Beijing, China, 19–23Gidlund M, Ekling J (2008) VoIP and IPTV distribution over wireless mesh networks in indoor environment. IEEE Trans Consum Electron 54(4):1665–1671Hellberg C, Greene D, Boyes T (2007) Broadband network architectures: designing and deploying triple-play services. Prentice Hall PTR Upper Saddle River, NJ, USAHsu H-T, Kuo F-Y, Lu P-H (2010) Design of WiFi/WiMAX dual-band E-shaped patch antennas through cavity model approach. Microw Opt Technol Lett 52(2):471–474IEEE 802.11 Working Group, At http://www.ieee802.org/11/index.shtml [last access: July 2011]IEEE Std 802.11™-2007 - IEEE Standard for Information Technology— Telecommunications and information exchange between systems— Local and metropolitan area networks—Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) SpecificationsIEEE Std 802.16™-2009, IEEE Standard for Local and metropolitan area networks, Part 16: Air Interface for Broadband Wireless Access Systems. At http://standards.ieee.org/getieee802/download/802.16-2009.pdf [last access: July 2011]inCode Telecom group Inc. (2006) The Quad-Play—the First Wave of the Converged Services Evolution. White paper, FebruaryIPTV Focus Group, Available at http://www.itu.int/ITU-T/IPTV/ [last access: July 2011]Jindal S, Jindal A, Gupta N (2005) Grouping WI-MAX, 3 G and WI-FI for wireless broadband, The First IEEE and IFIP International Conference in Central Asia on Internet 2005, September 26–29, Bishkek, KyrgyzstanJin-Yu Zhang, Man-Gui Liang (2008) “IPTV QoS Implement Mechanism in WLAN,” Int. Conference on Intelligent Information Hiding and Multimedia Signal Processing. pp 117-120, 15–17Karen Fernanda Medina Velez and Ivonne Alexandra Revelo Arias (2006) Diseño y planificación de una red inalámbrica basada en los estandares IEEE 802.16 (WIMAX) y 802.11 (WIFI) para proveer de internet de banda ancha a poblaciones de las provincias de Loja y Zamora Chinchipe, Tesis Electrónica y Telecomunicaciones (IET), Escuela Politécnica Nacional, Quito, EcuadorKnightson K, Morita N, Towle T (2005) NGN architecture: generic principles, functional architecture, and implementation. IEEE Commun Mag 43(10):49–56Lai C, Min Chen (2011) Playback-Rate Based Streaming Services for Maximum Network Capacity in IP Multimedia Subsystem, IEEE System Journal, doi: 10.1109/JSYST.2011.2165190Lee K-H, Trong ST, Lee B-G, Kim Y-T (2008) QoS-Guaranteed IPTV Service Provisioning in Home Network with IEEE 802.11e Wireless LAN,” IEEE Network Operations and Management Symposium. pp 71-76Marcelo Atenas, Sandra Sendra, Miguel Garcia, Jaime Lloret (2010) IPTV Performance in IEEE 802.11n WLANs, IEEE Global Communications Conference (IEEE Globecomm 2010), Miami (USA), December 6–10Miguel Garcia, Jaime Lloret, Miguel Edo, Raquel Lacuesta (2009) IPTV Distribution Network Access System Using WiMAX and WLAN Technologies, International Symposium on High Performance Distributed Computing (HPDC 2009), Munich (Germany), June 11–13Park AH, Choi JK (2007) “QoS guaranteed IPTV service over Wireless Broadband network”, The 9th Int. Conference on Advanced Communication Technology 2:1077–1080Retnasothie FE, Ozdemir MK, YÄucek T, Zhang J, Celebi H, Muththaiah R (2006) “Wireless IPTV over WiMAX: Challenges and applications”. IEEE Wamicon, Clearwater, FLSchollmeier G, Winkler C (2004) Providing sustainable QoS in next-generation networks. IEEE Communication Magazine 42(6):102–107She J, Hou F, Ho P-H, Xie L-L (2007) IPTV over WiMAX: Key Success Factors, Challenges, and Solutions [Advances in Mobile Multimedia]. IEEE Commun Mag 45(8):87–93Shihab E, Cai L, Wan F, Gulliver TA, Tin N (2008) Wireless mesh networks for in-home IPTV distribution. IEEE Netw 22(1):52–57Shihab E, Wan F, Cai L, Gulliver A, Tin N (2007) “Performance Analysis of IPTV in Home Networks”, IEEE Global Telecommunications (GLOBECOM 2007), Washington, DC, pp 26–30Singh H, ChangYeul Kvvon, Seong Soo Kim, Chiu Ngo (2008) “IPTV over WirelessLAN: Promises and Challenges,” 5th IEEE Consumer Communications and Networking Conference, pp.626-631Super AG technologies, At http://www.digicom.it/italiano/supporto/WhitePaper/Wireless108M_whitepaper.pdf [last access: July 2011]VLC Media Player, Available at www.videolan.org [last access: July 2011]Wen-Hsing Kuo, Tehuang Liu, Wanjiun Liao (2007) Utility-Based Resource Allocation for Layer-Encoded IPTV Multicast in IEEE 802.16 (WiMAX) Wireless Networks. IEEE International Conference on Communications 2007 (ICC 2007), 24–28. Glasgow, Scotland pp 1754-1759Wireshark Network Protocol Analyzer, Available at www.wireshark.org [last access: July 2011]Xiao Y, Du X, Zhang J, Hu F, Guizani S (2007) Internet protocol television (IPTV): the killer application for the next-generation internet. IEEE Commun Mag 45(11):126–134Yarali A, Rahman S, Mbula B (2008) WIMAX: The innovate Broadband Wireless access technology. Journal of Communications 3(2):53–6

Performance Evaluation of Video Streaming in an Infrastructure Mesh Based Vehicle Network

Most next-generation wireless networks are expected to support video stream- ing which constitutes the bulk of traffic on the Internet. This thesis evaluates the performance of video streaming in a vehicle network with an infrastructure wireless mesh network (WMN) backhaul. Several studies have investigated video quality per- formance primarily in single hop wireless networks and static WMNs. This thesis is based on those studies and conducts the study in relation to a network where the multi-hop features of the mesh network and mobility of the streaming clients may have substantial impact on the perceived video quality in the network. The study assumes a previously proposed vehicle network architecture con- sisting of an infrastructure WMN that serves as the mesh backhaul [2, 3]. A number of mesh routers (MRs) form the mesh backhaul using one of their two IEEE 802.11g radios whereas the other radio is used to communicate with the fast moving mesh clients (MCs). Selective MRs called mesh gateways (MGs) are connected to a wired network (e.g., the Internet, hereafter referred to as the core network) via a point-to- point link and provide gateway connectivity to the rest of the network. A server on the core network acts as a video server and streams individual video streams to the fast moving MCs. Upon deployment, network discovery occurs and segregates the network into a number of separate routing zones with each routing zone consisting of a single MG and all the MRs that use the MG as their gateway. A minimum-hop based routing protocol is used to enable seamless handover of MCs from one MR to another within a single zone. Simulation studies in this thesis inspects the network and video streaming performance within a single routing zone, assuming the handoff and inter-zone routing being taken care of by the routing protocol and only focus on the intra-zone packet forwarding and scheduling impacts. Hence, this study does not address cases where MCs move from one routing zone to another routing zone in the mobile network. In the first part of the study, we evaluate the performance of video streaming in the described network by studying performance metrics across different layers of the protocol stack. The number of video flows that can be supported by the network is experimentally determined for each scenario. In the second part, the thesis studies controllable network and protocol parameters\u27 ability to improve the network and video quality performance. Simulations are run in an integrated framework that includes network-simulator ns-2, NS-MIRACLE, and Evalvid

Final report on the evaluation of RRM/CRRM algorithms

Deliverable public del projecte EVERESTThis deliverable provides a definition and a complete evaluation of the RRM/CRRM algorithms selected in D11 and D15, and evolved and refined on an iterative process. The evaluation will be carried out by means of simulations using the simulators provided at D07, and D14.Preprin