Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Non-convex optimization and rate control for multi-class services in the Internet
IEEE/ACM Transactions on Networking (TON)
Distributed rate allocation for inelastic flows
IEEE/ACM Transactions on Networking (TON)
Video transcoding: an overview of various techniques and research issues
IEEE Transactions on Multimedia
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Rate-distortion optimal video summary generation
IEEE Transactions on Image Processing
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming
IEEE Transactions on Circuits and Systems for Video Technology
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Wired and wireless data networks have witnessed an explosive growth of inelastic traffics such as real-time or media streaming applications. Recently, applications relying on layered encoding schemes appeared in the context of live-streaming and video and audio delivery applications. This paper addresses the Network Utility Maximization (NUM) for scalable multimedia transmission which is relying on layered encoding schemes. Nonconvexity of the NUM problem for such applications makes dual-based approaches incompetent, whereby achieving optimality proves quite challenging. We adopt the staircase utility function and formulate the underlying optimization problem. To tackle the non-convexity of the problem, we use a smooth approximation of the staircase utility function and propose a dual-based distributed algorithm for rate allocation and bandwidth sharing in such scenarios. Numerical results show that the proposed algorithm achieves suboptimal yet efficient solution.