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Received: 2005-12-12

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.100 P.82~88

http://doi.org/10.1631/jzus.2006.AS0082


Channel adaptive rate control for energy optimization


Author(s):  Blanch Carolina, Pollin Sofie, Lafruit Gauthier, Eberle Wolfgang

Affiliation(s):  Interuniversity Microelectronics Center, Kapeldreef 75, Leuven 3001, Belgium; more

Corresponding email(s):   Carolina.Blanch@imec.be

Key Words:  Rate control, Channel condition, Communication energy


Blanch Carolina, Pollin Sofie, Lafruit Gauthier, Eberle Wolfgang. Channel adaptive rate control for energy optimization[J]. Journal of Zhejiang University Science A, 2006, 7(100): 82~88.

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author="Blanch Carolina, Pollin Sofie, Lafruit Gauthier, Eberle Wolfgang",
journal="Journal of Zhejiang University Science A",
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pages="82~88",
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doi="10.1631/jzus.2006.AS0082"
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%A Pollin Sofie
%A Lafruit Gauthier
%A Eberle Wolfgang
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.AS0082

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T1 - Channel adaptive rate control for energy optimization
A1 - Blanch Carolina
A1 - Pollin Sofie
A1 - Lafruit Gauthier
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SP - 82
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.AS0082


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Chandramouli, R., Subbalakshmi, K.P., Ranganathan, N., 2004. Stochastic channel-adaptive rate control for wireless video transmission. Journal on PRL, 25(7):793-806.

[2] Chiang, T., Zhang, Y.Q., 1997. A new rate control scheme using quadratic rate-distortion modelling. IEEE Trans. Circuits Syst. Video Tech., 7:246-250.

[3] de Vleeschouwer, C., Nilsson, T., 2001. Motion Estimation for Low Power Video Devices. Proceeding of the IEEE ICIP01. Greece.

[4] ETSI (European Telecommunications Standards Institute) 3ERI085B, 1998. Channel Models for HIPERLAN/2 in Different Indoor Scenarios.

[5] Hsu, C.Y., Ortega, A., Khansari, M., 1999. Rate control for robust video transmission over burst-error wireless channels. IEEE Journal on Selected Areas in Communications, 17(5):756-773.

[6] IEEE Std 802.11a, 1999. Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specs.

[7] ISO/IEC JTC1/SC29/WG11, 2001. MPEG-4 Video Verification Model v18.0. Coding of Moving Pictures and Audio N3908. Pisa.

[8] Krunz, M., Hassan, M., 2004. Adaptive Rate Control Scheme for Video Streaming over Wireless Channels. Proceeding of DCC’04.

[9] Mangharam, R., Pollin, S., Bougard, B., Rajkumar, R., Catthoor, F., van der Perre, L., Moeman, I., 2005. Optimal Fixed and Scalable Energy Management for Wireless Networks. INFOCOM’05. USA.

[10] Wiegand, T., 2002. Joint Video Team of ISO/IEC MP. Joint Final Committee Draft (JFCD) of Joint Video Specification (ITU-T Rec. H.264, ISO/IEC 14496-10 AVC).

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