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This paper develops a novel approach to obtain energy-efficient transmission schedules for delay-limited bursty data under nonideal circuit power consumption. Assuming a priori knowledge of packet arrivals, deadlines, and channel realizations, we show that the problem can be formulated as a convex program. For both time-invariant and time-varying fading channels, it is revealed that the optimal transmission...
The viral and dense deployment of small cell base stations (SBSs) will lie at the heart of 5G cellular networks. However, such dense networks can consume a significant amount of energy. In order to reduce the network's reliance on unsustainable energy sources, one can deploy self-powered SBSs that rely solely on energy harvesting. Due to the uncertainty of energy arrival and the finite capacity of...
Real-time navigation of autonomous vehicles requires the processing of a large amount of sensor data by the perception algorithms onboard the vehicle, like object detection and localization. To meet the driving performance and safety requirements, these algorithms require the hardware to be over-engineered to always operate for the worst-case. This leads to excessive power consumption by the computation...
Measuring multiple physical quantities are increasingly being demanded in commercial, biomedical and generally in ubiquitous applications. Although the recent emergence of passive sensor enabled RFID tags (sensor tags) provide new opportunities for these types of applications mainly due to the extended operational life and the small form factor, the energy harvesting nature of sensor tags hinders...
In this paper we discuss different methods to design digital filters with low power consumption. One efficient method is based on power supply voltage scaling where the excess speed that may be obtained using maximally fast recursive filter structures or non-recursive structures are exploited. We also discuss several techniques to increase and obtain the maximal sample rate for recursive structures...
This paper develops a novel approach to energy-efficient transmission schedule for delay-limited bursty data arrivals under non-ideal circuit power consumption. Assuming aprior knowledge of packet arrivals and deadlines, an efficient algorithm is proposed to find the optimal policy that minimizes the total energy consumption, with a low computational complexity. It is revealed that the optimal data...
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