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).
Bibliographical noteFunding Information:
Manuscript received May 24, 2009; revised November 28, 2009, June 14, 2010, and November 01, 2010; accepted March 08, 2011. Date of publication April 05, 2011; date of current version July 20, 2011. This work was supported by the Ministry of Knowledge Economy (MKE), Korea, under the national HRD support program for convergence information technology supervised by the National IT Industry Promotion Agency (NIPA) (NIPA-2010-C6150-1001-0013) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2010-0011995). The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Zhihai (Henry) He.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Media Technology
- Computer Science Applications
- Electrical and Electronic Engineering