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Channel Allocation for Smooth Video Delivery Over Cognitive Radio Networks

Channel Allocation for Smooth Video Delivery Over Cognitive Radio Networks PDF Author: Sanying Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 55

Book Description
Video applications normally demand stringent quality-of-service (QoS) for the high quality and smooth video playback at the receiver. Since the network is usually shared by multiple applications with diverse QoS requirements, QoS provisioning is an important and difficult task for the efficient and smooth video delivery. In the context of cognitive radio (CR) networks, as the secondary or unlicensed users share a pool of bandwidth that is temporarily being unused by the primary or licensed users, there is an inevitable interference between the licensed primary users and the unlicensed CR devices. As a result, efficient and smooth video delivery becomes even more challenging as the channel spectrum is not only a precious resource, but also much more dynamic and intermittently available to secondary users. In this thesis, we focus on the provision of guaranteed QoS to video streaming subscribers in CR network.

Channel Allocation for Smooth Video Delivery Over Cognitive Radio Networks

Channel Allocation for Smooth Video Delivery Over Cognitive Radio Networks PDF Author: Sanying Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 55

Book Description
Video applications normally demand stringent quality-of-service (QoS) for the high quality and smooth video playback at the receiver. Since the network is usually shared by multiple applications with diverse QoS requirements, QoS provisioning is an important and difficult task for the efficient and smooth video delivery. In the context of cognitive radio (CR) networks, as the secondary or unlicensed users share a pool of bandwidth that is temporarily being unused by the primary or licensed users, there is an inevitable interference between the licensed primary users and the unlicensed CR devices. As a result, efficient and smooth video delivery becomes even more challenging as the channel spectrum is not only a precious resource, but also much more dynamic and intermittently available to secondary users. In this thesis, we focus on the provision of guaranteed QoS to video streaming subscribers in CR network.

Adaptive Video Streaming Over Cognitive Radio Networks

Adaptive Video Streaming Over Cognitive Radio Networks PDF Author: Ala Eldin Omer Mohamed
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 122

Book Description
"Several challenges face reliable video streaming over wireless networks due to the stringent requirements of high data rate, low error rate, and limited end-to-end delay. Cognitive radio (CR) networks offer a great advantage to unlicensed users (typically called secondary users) by allowing them to exploit the unused spectrum of licensed users (known as primary users) on an opportunistic basis. However, it is more challenging to deliver video services over dynamic CR channels that are available to secondary users not only intermittently but with all the challenges of wireless channels. In this research, several frameworks are proposed to stream different scalable videos from a base station to multiple secondary users over a CR network. The objective of this study is to ensure that end users will enjoy continuous video playback with acceptable perceptual quality. To achieve such a goal, a channel allocation algorithm is introduced to adaptively assign the available radio channels to secondary users while taking into considerations the quality of their assigned channels as well as their buffer occupancies. In addition, different streaming algorithms are devised to ensure the delivery of scalable video frames, with base and enhancement layers, within the delay constraints with priority given to the base-layer frames to guarantee the continuity of video playback. Moreover, adaptive modulation is used based on the importance of transmitted video information and the channel state information (CSI) as fed-back by secondary users. Extensive simulations are performed using SimEvents simulator in MATLAB, the results of which show that the proposed schemes that integrate the devised channel allocation and streaming algorithms with adaptive modulation and scalable source coding techniques react to the variations in the channel conditions and the dynamics of the secondary users’ playback buffers in an acceptable fashion. This in turn resulted in efficient usage of the available CR resources as demonstrated in the achieved peak signal-to-noise ratio (PSNR) of the reconstructed video streams with no interruptions in the playback process. It has also been shown that scalable videos outperform their single-layer counterparts in terms of the achieved video quality. Finally, it is shown that joint adaptive modulation and channel coding results in improved bandwidth utilization, continuous playback and enhanced perceptual video quality at the secondary users end."--Abstract.

Multimedia over Cognitive Radio Networks

Multimedia over Cognitive Radio Networks PDF Author: Fei Hu
Publisher: CRC Press
ISBN: 1482214873
Category : Computers
Languages : en
Pages : 482

Book Description
With nearly 7 billion mobile phone subscriptions worldwide, mobility and computing have become pervasive in our society and business. Moreover, new mobile multimedia communication services are challenging telecommunication operators. To support the significant increase in multimedia traffic-especially video-over wireless networks, new technological

Video over Cognitive Radio Networks

Video over Cognitive Radio Networks PDF Author: Shiwen Mao
Publisher: Springer Science & Business Media
ISBN: 146144957X
Category : Technology & Engineering
Languages : en
Pages : 128

Book Description
This book focuses on the problem of video streaming over emerging cognitive radio (CR) networks. The book discusses the problems and techniques for scalable video streaming over cellular cognitive radio networks, ad hoc CR networks, cooperative CR networks, and femtocell CR networks. The authors formulate these problems and propose optimal algorithms to solve these problems. Also the book analyzes the proposed algorithms and validates the algorithms with simulations.

Cognitive Radio and Interference Management: Technology and Strategy

Cognitive Radio and Interference Management: Technology and Strategy PDF Author: Ku, Meng-Lin
Publisher: IGI Global
ISBN: 1466620064
Category : Technology & Engineering
Languages : en
Pages : 354

Book Description
Broadcast spectrum is scarce, both in terms of our ability to access existing spectrum and as a result of access rules created by governments. An emerging paradigm called cognitive radio, however, has the potential to allow different systems to dynamically access and opportunistically exploit the same frequency band in an efficient way, thereby allowing broadcasters to use spectrum more efficiently. Cognitive Radio and Interference Management: Technology and Strategy brings together state-of-the-art research results on cognitive radio and interference management from both theoretical and practical perspectives. It serves as a bridge between people who are working to develop theoretical and practical research in cognitive radio and interference management, and therefore facilitate the future development of cognitive radio and its applications.

Video Streaming Over Cognitive Radio Networks

Video Streaming Over Cognitive Radio Networks PDF Author: Azin Dastpak
Publisher:
ISBN:
Category : Cognitive radio networks
Languages : en
Pages : 0

Book Description
In recent years, there has been a tremendous growth in multimedia applications over the wireless Internet. The significant bandwidth requirement for multimedia services has increased the demand for radio spectrum. The scarcity of radio spectrum has challenged the conventional fixed spectrum assignment policy. As a result, cognitive radio emerged as a new paradigm to address the spectrum underutilization problem by enabling users to opportunistically access unused spectrum bands. In this thesis, we propose a framework for video transmission over cognitive radio networks. Our objective is to determine the optimal streaming policy in order to maximize the overall perceived video quality while keeping quality fluctuation at minimum. In our framework, we introduce a channel usage model based on a two-state Markov model and estimate the future busy and idle durations of the spectrum based on past observations. On the basis of this scheme, we formulate the streaming optimization problem under the constraint of the available bandwidth budget so that the optimal number of enhancement layer bits are assigned to each frame. We extend this algorithm for three different optimization levels: frame, GOP and scene. We evaluate our algorithm through extensive trace-driven simulation, and show that it improves the perceived video quality and increases bandwidth utilization.

Resource Allocation for Scalable Video Transmission Over Next-generation Wireless Networks

Resource Allocation for Scalable Video Transmission Over Next-generation Wireless Networks PDF Author: Mohammud Zubeir Bocus
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Advancements in broadband wireless networks and video compression tech- nologies have led to a tremendous increase in the demand for wireless multimedia services over recent years. Popular wireless transmission techniques enabling en- hanced throughput include orthogonal frequency division multiplexing (OFDM) while the recent video coding standard, namely the H.264/ AYC, enables up to twice the compression efficiency to be attained relative to previous video com- pression techniques. Regardless of these developments, the highly dynamic and unpredictable nature of wireless channels, along with the requirements for main- taining the quality of service (Q08) and seamless video playback for all users, impose severe constraints on the design of wireless multimedia systems. A video coding technique that has been developed for such environments is the scalable video coding (8YC), which allows parts of the encoded bitstream to be discarded in response to a drop in the channel quality. However, state-of-the-art resource allocation techniques for SYC transmission over the wireless medium suffer from high computational complexity. Low-complexity, sub-optimal alternatives, on the other hand, are not always adequate. Given the sparse nature of spectrum resources, and the paradigm shift in spectrum access with the advent of cognitive radio systems, it is evident that sub-optimal algorithms having large optimality gaps are not desired. In fact, such approaches would be in contradiction to the definition of spectrum efficient, cognitive radio systems. In this thesis, resource allocation schemes for the transmission of H.264 SYC over wireless networks are investigated. In particular, OFDM systems are consid- ered, including OFDM-based cognitive radio networks. Cross-layer optimisation techniques for fine grain scalable (FGS) video sequences are analysed. Although the problem is initially non-convex and has non-polynomial-time (NP) complex- ity, low complexity techniques are derived that lead to solutions very close to the optimal. Resource allocation schemes for coarse grain scalable (CGS) and medium grain scalable (MGS) sequences over OFDM-based cognitive systems are also investigated. As opposed to FGS, CGS/MGS do not allow an encoded bitstream to be truncated at random bit location. Consequently, new methods are derived that focus on this particular type of video coding. The presence of multiple antennas at the cognitive transmitter and their effect on the aggregate visual quality of all secondary users are also discussed. Furthermore, a joint call admission control (CAC) and resource allocation for the transmission of CGS and MGS video sequences over orthogonal frequency division multiple access (OFDMA) are analysed. This scheme considers the sce- narios where the available channel resources are not enough to support the video data of all users. Finally, rate-adaptation techniques for scalable video transmission over wire- less networks are presented. Rate-adaptation refers to the methods by which the encoding parameters of the video coding are adapted in response to the chan- nel conditions. Interestingly, it is shown that under a given channel condition, increasing the granularity of a scalable sequence lead to diminishing returns in terms of the rate achieved. Moreover, the transmission of scalable sequences over cognitive radio networks where perfect channel knowledge is not available is investigated. The effect of the granularity of the bitstream on the interference observed by incumbent users is also presented. It is shown that the probability of exceeding the interference threshold can be significantly reduced by proper specification of the video encoding parameters.

A Localized and Distributed Channel Assignment Framework for Cognitive Radio Networks

A Localized and Distributed Channel Assignment Framework for Cognitive Radio Networks PDF Author: Anthony Tyrone Plummer
Publisher:
ISBN:
Category : Cognitive radio networks
Languages : en
Pages : 236

Book Description


QOE-aware Scalable Video Transmission Over Resource-constrained Cognitive Radio Networks

QOE-aware Scalable Video Transmission Over Resource-constrained Cognitive Radio Networks PDF Author: Jingfang Huang
Publisher:
ISBN:
Category : Radio
Languages : en
Pages : 432

Book Description
Scarce radio spectrum bands limit the advancement of modern wireless applications, especially multimedia applications, such as 3DTV and free viewpoint video (FVV), the quality of which is determined by available network bandwidth. In the meantime, the concept of Cognitive Radio (CR) networks has recently emerged to improve spectrum bandwidth utilization. In brief, a CR network attempts to identify the unused portion of allocated spectrum bands and loan them to others. However, how to satisfy each of users' quality requirements under the limited spectrum resources is challenging for the design of CR network. The research in this dissertation is to address the challenge for video transmission with high quality and spectrum resource requirements. My approach is a cross layer design that can improve people's perceived video quality, called Quality of Experience (QoE), from application level and can adjust the spectrum band allocation for optimal CR network system utility. This dissertation presents the research results on this proposed approach. The core of this approach is a joint design of source coding, channel coding, and resource allocations in CR networks that considerably improve both bandwidth efficiency and QoE of video transmissions according to application characteristics. Specifically, a game based CR cloud network design for multimedia transmission is proposed, which satisfies the network user's strict QoE requirement; the existence and uniqueness of the Stackelberg Nash equilibrium have also been proved. In this research, I proceed with three main steps: (1) Modeling QoE-aware resource allocation for multimedia transmission over CR networks; (2) Deriving optimal solutions including the joint design of game-based source-channel coding for resource-constrained QoE-driven multimedia transmission over CR networks; and (3) Conducting extensive performance evaluation through both simulation and experiments. The contributions of this work mainly include three folds: a game-based resource allocation scheme for resource constrained CR network, which considers the network users' quality of experience (QoE) and provides optimal resource allocation; a comprehensive cross-layer design for CR network; an extensive performance evaluation that proved the effectiveness of the proposed approach. The obtained research results are promising and anticipated to make broad impact on mobile and wireless communications, and related multimedia applications over CR networks.

Multimedia Over Cognitive Radio Networks

Multimedia Over Cognitive Radio Networks PDF Author: Fei Hu
Publisher: CRC Press
ISBN: 9781138034013
Category : Cognitive radio networks
Languages : en
Pages : 492

Book Description
With nearly 7 billion mobile phone subscriptions worldwide, mobility and computing have become pervasive in our society and business. Moreover, new mobile multimedia communication services are challenging telecommunication operators. To support the significant increase in multimedia traffic¿especially video¿over wireless networks, new technological infrastructure must be created. Cognitive Radio Networks (CRNs) are widely regarded as one of the most promising technologies for future wireless communications. This book explains how to efficiently deliver video, audio, and other data over CRNs. Covering advanced algorithms, protocols, and hardware-/software-based experiments, this book describes how to encode video in a prioritized way to send to dynamic radio links. It discusses different FEC codes for video reliability and explains how different machine learning algorithms can be used for video quality control. It also explains how to use readily available software tools to build a CRN simulation model. This book explains both theoretical and experimental designs. It describes how universal software radio peripheral (USRP) boards can be used for real-time, high-resolution video transmission. It also discusses how a USRP board can sense the spectrum dynamics and how it can be controlled by GNU Radio software. A separate chapter discusses how the network simulator ns-2 can be used to build a simulated CRN platform.