Video Transmission In Wireless Networks Research Articles

QoE Driven VR 360° Video Massive MIMO Transmission

Massive multiple-input and multiple-output (MIMO) enables ultra-high throughput and low latency for tile-based adaptive virtual reality (VR) 360° video transmission in wireless network. In this paper, we consider a massive MIMO system where multiple users in a single-cell theater watch an identical VR 360° video. Based on tile prediction, base station (BS) deliveries the tiles in predicted field of view (FoV) to users. By introducing practical supplementary transmission for missing tiles and unacceptable VR sickness, we propose the first stable transmission scheme for VR video. we formulate an integer non-linear programming (INLP) problem to maximize users’ average quality of experience (QoE) score. Moreover, we derive the achievable spectral efficiency (SE) expression of predictive tile groups and the approximately achievable SE expression of missing tile groups, respectively. Analytically, the overall throughput is related to the number of tile groups and the length of pilot sequences. By exploiting the relationship between the structure of viewport tiles and SE expression, we propose a multi-lattice multi-stream grouping method aimed at improving the overall throughput for VR video transmission. Moreover, we analyze the relationship between QoE objective and number of predictive tile. We transform the original INLP problem into an integer linear programming problem by setting the predictive tiles groups as some constants. With variable relaxation and recovery, we obtain the optimal average QoE. Extensive simulation results validate that the proposed algorithm effectively improves QoE.

QoS Aware Video Transmission in Wireless Network: Successful and Failure Existing Technique

Wireless technology has become one of the integral part of our daily life, it is the 21st century technology, emergency of wireless network have led the multimedia distribution very effectively. Moreover the video has been an eminent media for communications as well as for the entertainment purpose for past several decades. Due to improvisation in technologies people can communicate over face to face over the wireless network without any concern about the distance, hence the video transmission over the wireless network has become one of the interesting application in daily life. Moreover, it is very important to maintain good QoS (Quality of Service) such as effective bandwidth, routing protocols and other QoS parameters. In this paper, we have surveyed the extensive amount of research paper to understand the Quality of service, meanwhile we have extensively discussed the various existing methodology, which has helped in improvising the wireless network for video transmission. Moreover the main aim of this research work is to survey and address all the requirement along with challenges that occurs while designing the wireless network, also this survey unveils the recent development in optimization, algorithm, novel approach and the protocols for improvising the Quality of Service.

QoE-Aware Scalable Video Transmission in MIMO Systems

An important concept in wireless systems has been QoE-aware video transmission. Such communications are considered not only connection- based communications but also content- aware communications, since the video quality is closely related to the content itself. It becomes necessary, therefore, for video communications to utilize a cross-layer design (also known as joint source and channel coding). To provide efficient methods of allocating network resources, the wireless network uses its cross-layer knowledge to perform UEP solutions. In this article, we summarize the latest video transmission technologies that are based on SVC over MIMO systems with cross-layer designs. To provide insight into video transmission in wireless networks, we investigate UEP solutions in the delivering of video over massive MIMO systems. Our results show that in terms of QoE, SVC layer prioritization, which was considered important in prior work, is not always beneficial in massive MIMO systems; consideration must be given to the content characteristics.

Cross-Layer Assisted Power and Rate Control for Video Transmission in Wireless Networks

Cross-Layer Assisted Power and Rate Control for Video Transmission in Wireless Networks

Packet importance based scheduling strategy for H.264 video transmission in wireless networks

This paper investigates the problem of H.264 video transmission in wireless networks. We propose a packet scheduling algorithm based on the packet quality contribution index (PQCI) of H.264 video packet. The PQCI is estimated not only by the quality distortion made for the current frame, but also by that made for the frames which are directly or indirectly related with current frame. A dual-decoder-model (DDM) algorithm is proposed for the PQCI estimation. In DDM algorithm, we develop a novel architecture with two simulated decoders in the sender. To reduce the computational complexity, an estimated-model (EM) algorithm is also proposed. In EM algorithm, the coding characters of video that are pre-coded are extracted for the PQCI estimation. The results demonstrate that our schemes can bring a significant gain to the end-to-end video quality with respect to traditional methods.

End-to-End Performance Improvement of the Wireless Channel for Video Transmission

Real time video transmission in wireless environment considers various parameters of wireless channel like information rate, error resiliency, security, end-to-end latency, quality of service etc. The available internet protocols are transmission control protocol and user datagram protocol (UDP). But most of the real-time applications uses UDP as their transport protocol. UDP is a fast protocol suitable for delay sensitive applications like video and audio transmission as it does not provide flow control or error recovery and does not require connection management. Due to the tremendous growth in wired and wireless real-time applications, some improvements should be made in the existing systems or protocols. Various techniques to improve end-to-end performance of system for real time video transmission over wireless channel are available in literature. Authors claim that the solution suggested in the paper provide more reliability in wireless video transmission. In the proposed solution, adaptive redundant packets are added in every block (or datagram) transmitted in order to achieve a desired recovery rate at the receiver. The suggested method dose not use any retransmission mechanism. The network simulator NS-2 is used to evaluate the method and the simulation results indicate that the proposed method can guarantee satisfied end-to-end performance by increased packet delivery ratio, reduced end-to-end delay and hence increased network throughput for video transmission in wireless network.

MULTICHANNEL COGNITIVE CROSS LAYER OPTIMIZATION FOR IMPROVED VIDEO TRANSMISSION

Multimedia applications particularly real-time video transmission in wireless networks, envisions end to end user perceived video quality as an important QoS parameter to be achieved. Cognitive Radio promising efficient spectrum utilization combined with Cross layer optimization is seen as a powerful combination to achieve the desired video quality. This study proposes Optimal Channel Sensed Multichannel Cognitive MAC (OCSM-CMAC), a QoS driven cross layer system for the joint optimization of different network parameters along the network protocol stack for the improved video transmission. The primary network activity and wireless propagation dependent channel quality are modeled. Depending on the availability of the primary channel and channel condition as provided by an optimal sensing scheme and the encoder parameter in the application layer, cognitive MAC scheduling and PHY layer modulation and coding for the secondary user are optimized to achieve the required QoS. The simulation of channel and the cognitive user activity is done in MATLAB, while the application video coding is performed by H.264/AVC JM 15.1 codec to obtain the results. The results of the proposed OCSM-CMAC scheme demonstrate that improved PSNR and delay performance is achieved under the optimal channel sensing scheme compared to the random sensing scheme.

Scalable Modulation for Video Transmission in Wireless Networks

In conventional wireless systems with layered architectures, the physical (PHY) layer equally treats all data streams from the upper layers and applies the same modulation and coding schemes to them. Newer systems such as Digital Video Broadcast start to introduce hierarchical modulation schemes with SuperPosition Coding (SPC) and support data streams of different priorities. However, SPC requires specialized hardware and has high complexity, which is not desirable for handheld devices. In this paper, we propose scalable modulation (s-mod) by reusing the current mainstream modulation schemes with software-based bit remapping. The performance evaluation has shown that s-mod can achieve the same and, in some cases, even better performance than SPC with much lower complexity. We further propose how to optimize the configuration of the PHY-layer s-mod and coding schemes to maximize the utility of video streaming with scalable video coding (SVC). Simulation results demonstrate substantial performance gains using s-mod and cross-layer optimization, indicating that s-mod and SVC are a good combination for video transmission in wireless networks.

Enhanced forward error correction algorithm supporting H.264 video transmission in wireless networks

In order to support H.264 video traffic transmission in wireless networks,an enhanced Forward Error Correction(FEC) algorithm called Enhanced Forward Error Correction(EFEC) was proposed,and the performance of EFEC was analyzed.EFEC will decide whether the forward error correction transmission should be used or not if the sender receives feedback information and the sender would not stop transferring data due to the loss of the feedback information.EFEC would adjust the additional length of data according to the BER of wireless networks.Detailed simulation results prove that according to network status EFEC can adaptively adjust coding strength and redundancy to improve video quality obviously.

Cross-layer architecture for scalable video transmission in wireless network

Multimedia applications such as video conference, digital video broadcasting (DVB), and streaming video and audio have been gaining popularity during last years and the trend has been to allocate these services more and more also on mobile users. The demand of quality of service (QoS) for multimedia raises huge challenges on the network design, not only concerning the physical bandwidth but also the protocol design and services. One of the goals for system design is to provide efficient solutions for adaptive multimedia transmission over different access networks in all-IP environment. The joint source and channel coding (JSCC/D) approach has already given promising results in optimizing multimedia transmission. However, in practice, arranging the required control mechanism and delivering the required side information through network and protocol stack have caused problems and quite often the impact of network has been neglected in studies. In this paper we propose efficient cross-layer communication methods and protocol architecture in order to transmit the control information and to optimize the multimedia transmission over wireless and wired IP networks. We also apply this architecture to the more specific case of streaming of scalable video streams. Scalable video coding has been an active research topic recently and it offers simple and flexible solutions for video transmission over heterogeneous networks to heterogeneous terminals. In addition it provides easy adaptation to varying transmission conditions. In this paper we illustrate how scalable video transmission can be improved with efficient use of the proposed cross-layer design, adaptation mechanisms and control information.

A cross-layer quality-of-service mapping architecture for video delivery in wireless networks

Providing quality-of-service (QoS) to video delivery in wireless networks has attracted intensive research over the years. A fundamental problem in this area is how to map QoS criterion at different layers and optimize QoS across the layers. In this paper, we investigate this problem and present a cross-layer mapping architecture for video transmission in wireless networks. There are several important building blocks in this architecture, among others, QoS interaction between video coding and transmission modules, QoS mapping mechanism, video quality adaptation, and source rate constraint derivation. We describe the design and algorithms for each building block, which either builds upon or extend the state-of-the-art algorithms that were developed without much considerations of other layers. Finally, we use simulation results to demonstrate the performance of the proposed architecture for progressive fine granularity scalability video transmission over time-varying and nonstationary wireless channel.