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2 2011

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System-level approaches to power efficiency in FPGA-based designs (data reduction algorithms case study)

Czapski P. P., Śluzek A.

Journal of Automation Mobile Robotics and Intelligent Systems

2011

Vol. 5, No. 2

49-59

In this paper we present preliminary results on systemlevel analysis of power efficiency in FPGA-based designs. Advanced FPGA devices allow implementation of sophisticated systems (e.g. embedded sensor nodes). However, designing such complex applications is prohibitively expensive at lower levels so that, moving the designing process to higher abstraction layers, i.e. system-levels of design, is a rational decision. This paper shows that at least a certain level of power awareness is achievable at these higher abstractions. A methodology and preliminary results for a power-aware, system-level algorithm partitioning is presented. We select data reduction algorithms as the case study because of their importance in wireless sensor networks (WSN's). Although, the research has been focused on WSN applications of FPGA, it is envisaged that the presented ideas are applicable to other untethered embedded systems based on FPGA's and other similar programmable devices.

Computationally-Efficient Design of a Dynamic System-Level LTE Simulator

Munoz P., Bandera I. de la, Ruiz F., Luna-Ramirez S., Barco R., Toril M., Lázaro P., Rodriguez J.

International Journal of Electronics and Telecommunications

2011

Vol. 57, No. 3

347-358

The Long-Term Evolution (LTE) is the next generation of current mobile telecommunication networks. LTE has a new flat radio-network architecture and a significant increase in spectrum efficiency. In this paper, a computationally-efficient tool for dynamic system-level LTE simulations is proposed. A physical layer abstraction is performed to predict link-layer performance with a low computational cost. At link layer, there are two important functions designed to increase the network capacity: Link Adaptation and Dynamic Scheduling. Other Radio Resource Management functionalities such as Admission Control and Mobility Management are performed at network layer. The simulator is conceived for large simulated network time to allow evaluation of optimization algorithms for the main network-level functionalities.