Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Power-Aware Localized Routing in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
On the Complexity of Rate-Distortion Optimal Streaming of Packetized Media
DCC '04 Proceedings of the Conference on Data Compression
FAMOUS: A Network Architecture for Delivering Multimedia Services to FAst MOving USers
Wireless Personal Communications: An International Journal
Rate-distortion based real-time wireless video streaming
Image Communication
WCDMA for UMTS: HSPA Evolution and LTE
WCDMA for UMTS: HSPA Evolution and LTE
Path loss measurements and analysis for high-speed railway viaduct scene
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Towards mobile phone localization without war-driving
INFOCOM'10 Proceedings of the 29th conference on Information communications
Bartendr: a practical approach to energy-aware cellular data scheduling
Proceedings of the sixteenth annual international conference on Mobile computing and networking
A Survey on Methods for Broadband Internet Access on Trains
IEEE Communications Surveys & Tutorials
Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms
IEEE Wireless Communications
Cross-layer design of ad hoc networks for real-time video streaming
IEEE Wireless Communications
Rate-distortion optimized streaming of packetized media
IEEE Transactions on Multimedia
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Circuits and Systems for Video Technology
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The problem of streaming packetized media has been intensively studied for a long time. In this paper, we revisit this problem in the high-speed railway context, where passengers encode and upload videos through increasingly powerful smartphones. The challenge is highlighted by the fast changing channel conditions in high-speed trains and the limited battery of cell phones. Inspired by the unique spatial-temporal characteristics of wireless signals along high-speed railways, we propose a novel energy-efficient and rate-distortion optimized approach for video streaming. Our solution effectively predicts the signal strength through its spatial-temporal periodicity in this new application scenario. It then smartly adjusts the GOF budget, schedules the video transmission to achieve graceful rate-distortion performance and yet conserves the energy consumption. Performance evaluation based on simulated railway scenarios and H.264 video traces demonstrates the effectiveness of our solution and its superiority as compared to existing solutions.