271 research outputs found
Cognitive Radio for Emergency Networks
In the scope of the Adaptive Ad-hoc Freeband (AAF) project, an emergency network built on top of Cognitive Radio is proposed to alleviate the spectrum shortage problem which is the major limitation for emergency networks. Cognitive
Radio has been proposed as a promising technology to solve
todayâ?~B??~D?s spectrum scarcity problem by allowing a secondary user in the non-used parts of the spectrum that aactully are assigned to primary services. Cognitive Radio has to work in different frequency bands and various wireless channels and supports multimedia services. A heterogenous reconfigurable System-on-Chip (SoC) architecture is proposed to enable the evolution from the traditional software defined radio to Cognitive Radio
Implementation of Multi-standard Wireless Communication Receivers in a Heterogeneous Reconfigurable System-on-Chip
Future mobile terminals become multi-mode communication systems. In order to handle different standards, we propose to perform baseband processing in heterogeneous reconfigurable hardware. Not only the baseband processing but also error decoding differs for every communication system. We already proposed implementations of the baseband processing part of an OFDM receiver and a Wideband CDMA receiver in a heterogeneous reconfigurable system-on-chip. The system-on-chip contains processing elements of different granularities, which includes our coarse-grained reconfigurable MONTIUM architecture. Now, we also implemented an adaptive Viterbi decoder in the same coarse-grained MONTIUM architecture. The rate, constraint length and decision depth of the decoder can be adjusted to different communication systems. We show that the flexibility in the coarse-grained reconfigurable architecture is more than 200 times as energy-efficient compared to a general purpose solution but only 24 times less efficient compared to a dedicated solution
Reconfigurable Turbo/Viterbi Channel Decoder in the Coarse-Grained Montium Architecture
Mobile wireless communication systems become multi-mode systems. These future mobile systems employ multiple wireless communication standards, which are different by means of algorithms that are used to implement the baseband processing and the channel decoding. Efficient implementation of multiple wireless standards in mobile terminals requires energy-efficient and flexible hardware. We propose to implement both the baseband processing and channel decoding in a heterogeneous reconfigurable system-on-chip. The system-on-chip contains many processing elements of different granularities, which includes our coarse-grained reconfigurable MONTIUM architecture. We already showed the feasibility to implement the baseband processing of OFDM and WCDMA based communication systems in the MONTIUM. In this paper we implemented two kinds of channel decoders in the same MONTIUM architecture: Viterbi and Turbo decoding
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ENERGY EFFICIENCY EXPLORATION OF COARSE-GRAIN RECONFIGURABLE ARCHITECTURE WITH EMERGING NONVOLATILE MEMORY
With the rapid growth in consumer electronics, people expect thin, smart and powerful devices, e.g. Google Glass and other wearable devices. However, as portable electronic products become smaller, energy consumption becomes an issue that limits the development of portable systems due to battery lifetime. In general, simply reducing device size cannot fully address the energy issue.
To tackle this problem, we propose an on-chip interconnect infrastructure and pro- gram storage structure for a coarse-grained reconfigurable architecture (CGRA) with emerging non-volatile embedded memory (MRAM). The interconnect is composed of a matrix of time-multiplexed switchboxes which can be dynamically reconfigured with the goal of energy reduction. The number of processors performing computation can also be adapted. The use of MRAM provides access to high-density storage and lower memory energy consumption versus more standard SRAM technologies. The combination of CGRA, MRAM, and flexible on-chip interconnection is considered for signal processing. This application domain is of interest based on its time-varying computing demands.
To evaluate CGRA architectural features, prototype architectures have been pro- totyped in a field-programmable gate array (FPGA). Measurements of energy, power, instruction count, and execution time performance are considered for a scalable num- ber of processors. Applications such as adaptive Viterbi decoding and Reed Solomon coding are used for evaluation. To complete this thesis, a time-scheduled switchbox was integrated into our CGRA model. This model was prototyped on an FPGA. It is shown that energy consumption can be reduced by about 30% if dynamic design reconfiguration is performed
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