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Channel adaptive rate control for energy optimization
作者单位:Interuniversity Microelectronics Center Kapeldreef 75 Leuven 3001,Belgium Interdisciplinary Institute for BroadBand Technology,Gent-Ledeberg B-9050,Belgium,Interuniversity Microelectronics Center Kapeldreef 75,Leuven 3001,Belgium Interdisciplinary Institute for BroadBand Technology,Gent-Ledeberg B-9050 Belgium Department of Electrical Engineering,K.U.Leuven,ESAT/INSYS,Belgium,Interuniversity Microelectronics Center Kapeldreef 75,Leuven 3001,Belgium,Interuniversity Microelectronics Center Kapeldreef 75,Leuven 3001,Belgium Interdisciplinary Institute for BroadBand Technology,Gent-Ledeberg B-9050,Belgium
摘    要:Low energy consumption is one of the main challenges for wireless video transmission on battery limited devices. The energy invested at the lower layers of the protocol stack involved in data communication, such as link and physical layer, represent an important part of the total energy consumption. This communication energy highly depends on the channel conditions and on the transmission data rate. Traditionally, video coding is unaware of varying channel conditions. In this paper, we propose a cross-layer approach in which the rate control mechanism of the video codec becomes channel-aware and steers the instantaneous output rate according to the channel conditions to reduce the communication energy. Our results show that energy savings of up to 30% can be obtained with a reduction of barely 0.1 dB on the average video quality. The impact of feedback delays is shown to be small. In addition, this adaptive mechanism has low complexity, which makes it suitable for real-time applications.


Channel adaptive rate control for energy optimization
BLANCH Carolina,POLLIN Sofie,LAFRUIT Gauthier,EBERLE Wolfgang. Channel adaptive rate control for energy optimization[J]. Journal of Zhejiang University Science, 2006, 7(Z1)
Authors:BLANCH Carolina  POLLIN Sofie  LAFRUIT Gauthier  EBERLE Wolfgang
Abstract:Low energy consumption is one of the main challenges for wireless video transmission on battery limited devices. The energy invested at the lower layers of the protocol stack involved in data communication, such as link and physical layer, represent an important part of the total energy consumption. This communication energy highly depends on the channel conditions and on the transmission data rate. Traditionally, video coding is unaware of varying channel conditions. In this paper, we propose a cross-layer approach in which the rate control mechanism of the video codec becomes channel-aware and steers the instantaneous output rate according to the channel conditions to reduce the communication energy. Our results show that energy savings of up to 30% can be obtained with a reduction of barely 0.1 dB on the average video quality. The impact of feedback delays is shown to be small. In addition, this adaptive mechanism has low complexity, which makes it suitable for real-time applications.
Keywords:Rate control   Channel condition   Communication energy
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