Scenario-based fixed-point data format refinement to enable energy-scalable software defined radios

Novo, David; Bougard, Bruno; Lambrechts, Andy; Perre, Liesbet Van der; Catthoor, Francky

doi:10.1145/1403375.1403550

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…In [34], the trade-off between energy and accuracy is investigated in an SDR platform and the FFT word-length is optimized in an OFDM system using intensive simulations. However, this scheme is limited to only 8-and 16-bit word-length processing and also it is not clear how the circuit switches between the two configurations at run-time.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Energy Efficiency of OFDM Using Adaptive Precision Reconfigurable FFT

Abdoli

Nikmehr

Movahedinia

et al. 2016

Circuits Syst Signal Process

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Being an essential issue in digital systems, especially battery-powered devices, energy efficiency has been the subject of intensive research. In this research, a multi-precision FFT module with dynamic runtime reconfigurability is proposed to trade off accuracy with the energy efficiency of OFDM in an SDR-based architecture. To support variable size FFT, a reconfigurable memory-based architecture is investigated. It is revealed that the radix-4 FFT has the minimum computational complexity in this architecture. Regarding implementation constraints such as fixed-width memory, a noise model is exploited to statistically analyze the proposed architecture. The required FFT word-lengths for different criteria-namely BER, modulation scheme, FFT size, and SNR-are computed analytically and confirmed by simulations in AWGN and Rayleigh fading channels. At run-time, the most energyefficient word-length is chosen and the FFT is reconfigured while the required application-specific BER is met. Evaluations show that the implementation area and the number of memory accesses are reduced. The results obtained

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Section: Literature Reviewmentioning

confidence: 99%

Improving Energy Efficiency of OFDM Using Adaptive Precision Reconfigurable FFT

Abdoli

Nikmehr

Movahedinia

et al. 2016

Circuits Syst Signal Process

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“…They are functional as long as a certain level of input Signal to Noise Ratio (SN R i ) is guaranteed. Some of them include multiple modes which implement different trade offs between noise robustness and data rate [7]. Performance of such applications degrades as SNR decreases.…”

Section: Snr-sensitive Applicationsmentioning

confidence: 99%

“…Table 1 Implementations on reconfigurable architectures, such as FPGA or SWP (Sub-Word Parallel) DSPs [7], can take advantage of these variations in minimum bit-widths to reduce average energy consumption and execution time. …”

Section: B Case Study 2: Ssfe Near-ml Mimo Detectormentioning

confidence: 99%

Finite precision processing in wireless applications

Novo

Bougard

et al. 2009

2009 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition

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Complex signal processing algorithms are often specified in floating point precision. Thus, a type conversion is needed when the targeted platform requires fixed-point precision. In this work we proposed a new method to evaluate the final impact of finite precision processing in wireless applications. The latter combines analytical analysis with simulations. This extends previous work including the effect of the decision-making errors resulting from quantization. Thereby efficient dimensioning of the minimum bit-widths that satisfy a given accuracy constraint can be deployed. The method is validated with two representative case studies, namely an OFDM inner receiver and a Near-ML MIMO (Multiple Inputs, Multiple Outputs) detector.

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