Video QoS/QoE over IEEE802.11n/ac: A Contemporary Survey

The demand for video applications over wireless networks has tremendously increased, and IEEE 802.11 standards have provided higher support for video transmission. However, providing Quality of Service (QoS) and Quality of Experience (QoE) for video over WLAN is still a challenge due to the error sensitivity of compressed video and dynamic channels. This thesis presents a contemporary survey study on video QoS/QoE over WLAN issues and solutions. The objective of the study is to provide an overview of the issues by conducting a background study on the video codecs and their features and characteristics, followed by studying QoS and QoE support in IEEE 802.11 standards. Since IEEE 802.11n is the current standard that is mostly deployed worldwide and IEEE 802.11ac is the upcoming standard, this survey study aims to investigate the most recent video QoS/QoE solutions based on these two standards. The solutions are divided into two broad categories, academic solutions, and vendor solutions. Academic solutions are mostly based on three main layers, namely Application, Media Access Control (MAC) and Physical (PHY) which are further divided into two major categories, single-layer solutions, and cross-layer solutions. Single-layer solutions are those which focus on a single layer to enhance the video transmission performance over WLAN. Cross-layer solutions involve two or more layers to provide a single QoS solution for video over WLAN. This thesis has also presented and technically analyzed QoS solutions by three popular vendors. This thesis concludes that single-layer solutions are not directly related to video QoS/QoE, and cross-layer solutions are performing better than single-layer solutions, but they are much more complicated and not easy to be implemented. Most vendors rely on their network infrastructure to provide QoS for multimedia applications. They have their techniques and mechanisms, but the concept of providing QoS/QoE for video is almost the same because they are using the same standards and rely on Wi-Fi Multimedia (WMM) to provide QoS

Greediness control algorithm for multimedia streaming in wireless local area networks

This work investigates the interaction between the application and transport layers while streaming multimedia in a residential Wireless Local Area Network (WLAN). Inconsistencies have been identified that can have a severe impact on the Quality of Experience (QoE) experienced by end users. This problem arises as a result of the streaming processes reliance on rate adaptation engines based on congestion avoidance mechanisms, that try to obtain as much bandwidth as possible from the limited network resources. These upper transport layer mechanisms have no knowledge of the media which they are carrying and as a result treat all traffic equally. This lack of knowledge of the media carried and the characteristics of the target devices results in fair bandwidth distribution at the transport layer but creates unfairness at the application layer. This unfairness mostly affects user perceived quality when streaming high quality multimedia. Essentially, bandwidth that is distributed fairly between competing video streams at the transport layer results in unfair application layer video quality distribution. Therefore, there is a need to allow application layer streaming solutions, tune the aggressiveness of transport layer congestion control mechanisms, in order to create application layer QoE fairness between competing media streams, by taking their device characteristics into account. This thesis proposes the Greediness Control Algorithm (GCA), an upper transport layer mechanism that eliminates quality inconsistencies caused by rate / congestion control mechanisms while streaming multimedia in wireless networks. GCA extends an existing solution (i.e. TCP Friendly Rate Control (TFRC)) by introducing two parameters that allow the streaming application to tune the aggressiveness of the rate estimation and as a result, introduce fair distribution of quality at the application layer. The thesis shows that this rate adaptation technique, combined with a scalable video format allows increased overall system QoE. Extensive simulation analysis demonstrate that this form of rate adaptation increases the overall user QoE achieved via a number of devices operating within the same home WLAN

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

A Review on Provisioning Quality of Service of Wireless Telemedicine for E-Health Services

In general, on-line medical consultation reduces time required for medical consultation induces improvement in the quality and efficiency of healthcare services. All major types of current e-health applications such as ECG, X-ray, video, diagnosis images and other common applications have been included in the scope of the study. In addition, the provision of Quality of Service (QoS) for the application of specific healthcare services in e-health, the scheme of priority for e-health services and the support of QoS in wireless networks and techniques or methods for IEEE 802.11 to guarantee the provision of QoS has also been assessed. In e-health, medical services in remote locations such as rural healthcare centers, ambulances, ships as well as home healthcare services can be supported through the applications of e-health services such as medical databases, electronic health records and the routing of text, audio, video and images. Given this, an adaptive resource allocation for a wireless network with multiple service types and multiple priorities have been proposed. For the provision of an acceptable QoS level to users of e-health services, prioritization is an important criterion in a multi-traffic network. The requirement for QoS provisioning in wireless broadband medical networks have paved the pathway for bandwidth requirements and the real-time or live transmission of medical applications. From the study, good performance of the proposed scheme has been validated by the results obtained. The proposed wireless network is capable of handling medical applications for both normal and life-threatening conditions as characterized by the level of emergencies. In addition, the bandwidth allocation and admission control algorithm for IEEE 802.16- based design specifically for wireless telemedicine/e-health services have also been presented in the study. It has been concluded that under busy traffic conditions, the proposed architecture can used as a feasible and reliable infrastructure network for telemedicine

Quality-Oriented Mobility Management for Multimedia Content Delivery to Mobile Users

The heterogeneous wireless networking environment determined by the latest developments in wireless access technologies promises a high level of communication resources for mobile computational devices. Although the communication resources provided, especially referring to bandwidth, enable multimedia streaming to mobile users, maintaining a high user perceived quality is still a challenging task. The main factors which affect quality in multimedia streaming over wireless networks are mainly the error-prone nature of the wireless channels and the user mobility. These factors determine a high level of dynamics of wireless communication resources, namely variations in throughput and packet loss as well as network availability and delays in delivering the data packets. Under these conditions maintaining a high level of quality, as perceived by the user, requires a quality oriented mobility management scheme. Consequently we propose the Smooth Adaptive Soft-Handover Algorithm, a novel quality oriented handover management scheme which unlike other similar solutions, smoothly transfer the data traffic from one network to another using multiple simultaneous connections. To estimate the capacity of each connection the novel Quality of Multimedia Streaming (QMS) metric is proposed. The QMS metric aims at offering maximum flexibility and efficiency allowing the applications to fine tune the behavior of the handover algorithm. The current simulation-based performance evaluation clearly shows the better performance of the proposed Smooth Adaptive Soft-Handover Algorithm as compared with other handover solutions. The evaluation was performed in various scenarios including multiple mobile hosts performing handover simultaneously, wireless networks with variable overlapping areas, and various network congestion levels

Provisioning Quality of Service of Wireless Telemedicine for E-Health Services: A Review

In general, on-line medical consultation reduces time required for medical consultation and induces improvement in the quality and efficiency of healthcare services. The scope of study includes several key features of present day e-health applications such as X-ray, ECG, video, diagnosis images and other common applications. Moreover, the provision of Quality of Service (QoS) in terms of specific medical care services in e-health, the priority set for e-health services and the support of QoS in wireless networks and techniques or methods aimed at IEEE 802.11 to secure the provision of QoS has been assessed as well. In e-health, medical services in remote places which include rustic healthcare centres, ships, ambulances and home healthcare services can be supported through the applications of e-health services such as medical databases, electronic health data and the transferring of text, video, sound and images. Given this, a proposal has been made for a multiple service wireless networking with multiple sets of priorities. In relation to the terms of an acceptable QoS level by the customers of e-health services, prioritization is an important criterion in a multi-traffic network. The requirement for QoS in medical networking of wireless broadband has paved the way for bandwidth prerequisites and the live transmission or real-time medical applications. The proposed wireless network is capable of handling medical applications for both normal and life-threatening conditions as characterized by the level of emergencies. In addition, the allocation of bandwidth and the system that controls admittance designed based on IEEE 802.16 especially for e-health services or wireless telemedicine will be discussed in this study. It has been concluded that under busy traffic conditions, the proposed architecture can used as a feasible and reliable infrastructure network for telemedicine

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