Optimal Carrier Loading for Maximizing Visual Entropy Over OFDMA Cellular Networks
2007
Explosively increasing demands for the wireless multimedia data have accelerated to research for adapting higher quality video applications in extensive efforts. In this paper, we explore a theoretical approach to cross-layer optimization between multimedia and wireless network by means of a quality criterion termed "visual entropy" for downlink video transmission, using a layered coding algorithm. We obtain the optimal loading ratio through an optimization problem, which aims at balancing the trade-off relationship between ICI (Inter-Cell Interference) and channel throughput. In the simulation, we show that the throughput gain in terms of visual entropy at the cell boundary is increased by up to about 32%.
Keywords:
- Cross-layer optimization
- Real-time computing
- Wireless network
- Computer network
- Pattern recognition
- Throughput
- Artificial intelligence
- Optimization problem
- Scalable Video Coding
- Orthogonal frequency-division multiplexing
- Cellular network
- Computer science
- Communication channel
- Visual communication
- Computer vision
- Wireless
- Electronic engineering
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