Joint Source-Channel Coding and Optimization for Layered Video Broadcasting to Heterogeneous Devices


Heterogeneous quality-of-service (QoS) video broadcast over wireless network is a challenging problem, where the demand for better video quality needs to be reconciled with different display size, variable channel condition requirements. In this paper, we present a framework for broadcasting scalable video to heterogeneous QoS mobile users with diverse display devices and different channel conditions. The framework includes joint video source-channel coding and optimization. First, we model the problem of broadcasting a layered video to heterogeneous devices as an aggregate utility achieving problem. Second, based on scalable video coding, we introduce the temporal-spatial content distortion metric to build adaptive layer structure, so as to serve mobile users with heterogeneous QoS requirements. Third, joint Fountain coding protection is introduced so as to provide flexible and reliable video stream. Finally, we use dynamic programming approach to obtain optimal layer broadcasting policy, so as to achieve maximum broadcasting utility. The objective is to achieve maximum overall receiving quality of the heterogeneous QoS receivers. Experimental results demonstrate the effectiveness of the solution.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee - 2018ABSTRACT:As a result of On-line Social Networks (OSNs) have become increasingly vital within the last decade, they need motivated a great
PROJECT TITLE :Joint Transmit and Receive Filter Optimization for Sub-Nyquist Delay-Doppler Estimation - 2018ABSTRACT:In this Project, a framework is presented for the joint optimization of the analog transmit and receive filter
PROJECT TITLE :Joint System Design for Coexistence of MIMO Radar and MIMO Communication - 2018ABSTRACT:This Project considers the joint style of a multiple-input multiple-output (MIMO) radar with co-located antennas and a MIMO
PROJECT TITLE :Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP - 2018ABSTRACT:We propose a completely unique soft-input soft-output equalizer for single-carrier transmissions over unknown frequency-selective
PROJECT TITLE :Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation - 2018ABSTRACT:Joint blind supply separation (J-BSS) is an rising knowledge-driven technique for multi-set information-fusion. In

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry