Abstract
Today, wireless devices generally feature multiple radio access technologies (LTE, WIFI, WIMAX,...) to handle a rich variety of standards or technologies.These devices should be intelligent and autonomous enough in order to either reach a given level of performance or automatically select the best available wireless technology according to standards availability. On the hardware side, system on chip (SoC) devices integrate processors and field-programmable gate array (FPGA) logic fabrics on the same chip with fast inter-connection. This allows designing software/hardware systems and implementing new techniques and methodologies that greatly improve the performance of communication systems. In these devices, Dynamic partial reconfiguration (DPR) constitutes a well-known technique for reconfiguring only a specific area within the FPGA while other parts continue to operate independently. To evaluate when it is advantageous to perform DPR, adaptive techniques have been proposed. They consist in reconfiguring parts of the system automatically according to specific parameters. In this paper, an intelligent wireless communication system aiming at implementing an adaptive OFDM-based transmitter and performing a vertical handover in heterogeneous networks is presented. An unified physical layer for WIFI-WIMAX networks is also proposed. The system was implemented and tested on a ZedBoard which features a Xilinx Zynq-7000-SoC. The performance of the system is described, and simulation results are presented in order to validate the proposed architecture.
Highlights
In the last decade, wireless communication systems have greatly evolved in terms of mobility, covered range, and throughput
The software and hardware (SW/HW) platform proposed in this paper aims at managing and scheduling multiple processes based on adaptive algorithms to decide when partial reconfiguration should be applied to hardware
The first one focuses on the additional power consumption related to Partial reconfiguration (PR)
Summary
Wireless communication systems have greatly evolved in terms of mobility, covered range, and throughput. Adaptive techniques enable applying modifications in real-time to both PHY or MAC layers of a wireless system Using these techniques, modifications are performed according to specific conditions and to the state of the communication channel within the overall network. Due to the characteristics of wireless channels (path loss, fading, shadowing ...), the multiplicity of standards, frequency allocations, and mobility features provided by wireless devices, the operating environment has become more and more complex to comprehend. In this context, researchers have proposed adaptive mechanisms to allow wireless systems to adapt waveforms according to the channel properties. The main benefit of the adaptive techniques consists in maximizing the channel capacity while minimizing the power consumption
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