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Modern consumers carry many electronic devices, like a mobile phone, digital camera, GPS, PDA and an MP3 player. The functionality of each of these devices has gone through an important evolution over recent years, with a steep increase in both the number of features as in the quality of the services that they provide. However, providing the required compute power to support (an uncompromised combination...
In this paper we present a methodology that enables mapping and scheduling of a dynamic real-time medical signal processing application onto an MPSoC platform. We apply the Task Concurrency Management (TCM) methodology on Lyapunov Exponent calculator, which is a part of an epileptic seizure predictor. TCM requires a division of an application into thread frames and thread nodes. In particular, we...
We consider the problem of packet scheduling for the transmission of multiple video streams over a wireless local area network (WLAN). A cross-layer optimization framework is proposed to minimize the wireless transceiver energy consumption while meeting the user required visual quality constraints. The framework relies on the IEEE 802.11 standard and on the embedded bitstream structure of the scalable...
Multiantenna systems and more particularly those operating on multiple input and multiple output (MIMO) channels are currently a must to improve wireless links spectrum efficiency and/or robustness. There exists a fundamental tradeoff between potential spectrum efficiency and robustness increase. However, multiantenna techniques also come with an overhead in silicon implementation area and power consumption...
Energy efficiency is imperative to enable the deployment of ad hoc networks. Conventional power management focuses independently on the physical or MAC layer and approaches differ depending on the abstraction level. At the physical layer, the fundamental tradeoff between transmission rate and energy is exploited, which leads to transmit as slow as possible. At MAC level, power reduction techniques...
In this paper, we present novel strategies that are capable of significantly reducing the required memory sizes for a large class of data-intensive multimedia applications. The size reduction is obtained by reusing memory locations for arrays as much as possible through optimization of the storage order. These strategies are equally well suited for parallel and mono-processing applications, and...
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