Cross-layer optimization for downlink wavelet video transmission

Hyungkeuk Lee, Sanghoon Lee, Alan Conrad Bovik

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Cross-layer optimization for efficient multimedia communications is an important emerging issue towards providing better quality-of-service (QoS) over capacity-limited wireless channels. This paper presents a cross-layer optimization approach that operates between the application and physical layers to achieve high fidelity downlink video transmission by optimizing with respect to a quality criterion termed visual entropy using Lagrangian relaxation. By utilizing the natural layered structure of wavelet coding, an optimal level of power allocation is determined, which permits the throughput of visual entropy to be maximized over a multi-cell environment. A theoretical approach to optimization using the Shannon capacity and the Karush-Kuhn-Tucker (KKT) conditions is explored when coupling the application with the physical layers. Simulations show that the throughput gain for cross-layer optimization by visual entropy is increased by nearly 80% at the cell boundary as compared with peak signal-to-noise ratio (PSNR).

Original languageEnglish
Article number5740607
Pages (from-to)813-823
Number of pages11
JournalIEEE Transactions on Multimedia
Volume13
Issue number4
DOIs
Publication statusPublished - 2011 Aug 1

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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