Energy-efficient bandwidth allocation for multiuser scalable video streaming over WLAN
EURASIP Journal on Wireless Communications and Networking - Multimedia over Wireless Networks
System-scenario-based design of dynamic embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Energy-Aware Error Correction for QoS-Provisioning Real-Time Communications in Wireless Networks
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Energy Aware Algorithm and Implementation of SDR Oriented HSDPA Chip Level Equalizer
Journal of Signal Processing Systems
A cross-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity
IEEE Transactions on Wireless Communications
A cross layer design strategy for video transmission with unequal error protection
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
Energy saving MAC for MIMO systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Leveraging dynamic spare capacity in wireless systems to conserve mobile terminals' energy
IEEE/ACM Transactions on Networking (TON)
Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study
International Journal of Adaptive, Resilient and Autonomic Systems
International Journal of Adaptive, Resilient and Autonomic Systems
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In many portable devices, wireless network interfaces consume upwards of 30% of scarce system energy. Reducing the transceiver's power consumption to extend the system lifetime has therefore become a design goal. Our work is targeted at this goal and is based on the following two observations. First, conventional energy management approaches have focused independently on minimizing the fixed energy cost (by shutdown) and on scalable energy costs (by leveraging, for example, the modulation, code-rate and transmission power). These two energy management approaches present a tradeoff. For example, lower modulation rates and transmission power minimize the variable energy component, but this shortens the sleep duration thereby increasing fixed energy consumption. Second, in order to meet the quality of service (QoS) timeliness requirements for multiple users, we need to determine to what extent each system in the network may sleep and scale. Therefore, we propose a two-phase methodology that resolves the sleep-scaling tradeoff across the physical, communications and link layers at design time and schedules nodes at runtime with near optimal energy-efficient configurations in the solution space. As a result, we are able to achieve very low run-time overheads. Our methodology is applied to a case study on delivering a guaranteed QoS for multiple users with MPEG-4 video over a slow-fading channel. By exploiting runtime controllable parameters of actual RF components and a modified 802.11 medium access controller, system lifetime is increased by a factor of 3-to-10 in comparison with conventional techniques