Fast Power and Performance Evaluation of FPGA-Based Wireless Communication Systems

Lorandel, Jordane; Prévotet, Jean-Christophe; Hélard, Maryline

doi:10.1109/access.2016.2559781

Cited by 21 publications

(13 citation statements)

References 28 publications

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“…The control over is an almost impossible task when designing using IP blocks because, Vivado tool works on vector-less algorithms to provide the value of at different nodes of the circuits under consideration. Hence, in FPGAs, Dynamic power can be given by (3). Parameters and their denotation used in this work are given in Table 1.…”

Section: Power Modeling Of An Ipmentioning

confidence: 99%

“…Also, the emphasis has not been rested on interconnection power. Thus, in proposed work emphasis has been laid on interconnection power [3] To summarize, various methods and modeling procedures have been projected in literature. It has been analyzed from the literature surveys that Elleouet et al and Lorandel et al provide solution for power estimation of the complete system.…”

Section: Literature Surveymentioning

confidence: 99%

“…Each IP that has been used for implementing QPSK and BPSK modulation systems are analyzed for different Input and Output (I/O) configurations at 125 MHz frequency [15], [2], [3]. The power of an IP is given by (1).…”

Section: Power Modeling Of An Ipmentioning

confidence: 99%

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Power Estimation of QPSK and BPSK Modulation Systems for FPGAs based on IP Modeling for Wireless Applications

Singh

Verma

Khare

2021

Preprint

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FPGA market has expanded due to its adoption in mobile phones and wearable devices. The communication IP blocks in Field Programmable Gate Array (FPGAs) has made it possible to realize different communication systems. However, in spite of their high performance, FPGAs suffers from high power consumption due to their complex architecture as compared to their ASIC counterpart. This has made power estimation as an important design metric. The existing commercial tools provide the option to estimate the power, but at the cost of longer estimation time as the designs have to follow the complete design cycle. Moreover, literature, mostly focuses on power estimation of individual blocks and power estimation of the complete system is still in infancy stage. Therefore, in this work, Quadrature Phase Shift Keying (QPSK) and Binary Phase Shift Keying (BPSK) modulation systems have been designed that are used in various wireless and satellite communication applications. Further, a new identity is proposed that could evaluate the power of whole system. The QPSK and BPSK systems have been designed via embedded IP and user-defined IP cores. A power estimation model of diverse blocks of QPSK and BPSK modulation systems have been developed based on a supervised machine learning technique using MATLAB R2016b and models are validated against commercial tool. Finally, the power of complete QPSK and BPSK modulation system is estimated using the proposed identity and is also validated for accuracy with reference to Vivado 2014.2 tool targeted to the Zynq family device and state of the art work. It has been seen from the results that the proposed identity outperforms in power estimation of complete systems as compared to existing identities available in literature and is providing aligned results with reference to the commercial tool.

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Section: Power Modeling Of An Ipmentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

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Power Estimation of QPSK and BPSK Modulation Systems for FPGAs based on IP Modeling for Wireless Applications

Singh

Verma

Khare

2021

Preprint

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“…If the information on the energy consumption per operation is known for a given processor, then the total power consumed by channel coding can be assessed. In [ 18 , 19 , 20 ], the power consumption of baseband processing was estimated using Xilinx software toolboxes and, based on that, the analytical model was proposed. This approach guarantees high accuracy of power estimation, but is highly dependent on implementation, technology, and so on.…”

Section: Related Workmentioning

confidence: 99%

Stochastic Power Consumption Model of Wireless Transceivers

Kryszkiewicz

Kliks

Kułacz

et al. 2020

Sensors

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Energy efficiency is a key aspect when designing and optimizing contemporary wireless networks and transceivers. Assessment of energy efficiency requires proper energy consumption models. The most common solutions are to measure a single device and propose a device-specific model or to propose a simplified model for many transceivers but not reflecting all phenomena visible in a given transceiver energy consumption. Therefore, it has to be selected to accurately model a single transceiver or coarsely model a wide group of transceivers. This paper proposes a new approach, where a fixed energy consumption model is used but with parameters being random variables. This reflects variability between various transceivers from various vendors. First the model parameters are adjusted separately for each of 14 measured WiFi modems. These devices are treated as samples of a wider population of devices and their parameters are used for stochastic parameters modeling, i.e., choosing the random variables’ distributions, their parameters, and the correlation among parameters. The proposed model can be used, e.g., for system-level network design where variability among transceivers power consumption can be used as a new degree of freedom. The paper presents simulation results for a simple multi-hop link whose energy consumption is characterized in much more detail thanks to the proposed stochastic power consumption model.

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“…In [22], real-time FPGAs is utilized to design massive multi-user MIMO-OFDM with approximate minimum-mean-square error algorithm for detection. Modern and efficient approach is proposed in [23] to evaluate performance and the consumed power for wireless communication based-FPGAs.…”

Section: Introductionmentioning

confidence: 99%

On the performance of non-orthogonal multiple access (NOMA) using FPGA

Ahmed¹,

Mahmmod²,

Azeez³

2020

IJECE

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In this paper, non-orthogonal multiple access (NOMA) is designed and implemented for the fifth generation (5G) of multi-user wireless communication. Field-programmable gate array (FPGA) is considered for the implementation of this technique for two users. NOMA is applied in downlink phase of the base-station (BS) by applying power allocation mechanism for far and near users, in which one signal contains the superposition of two scaled signals depending on the distance of each user from the BS. We assume an additive white Gaussian noise (AWGN) channel for each user in the presence of the interference due to the non-orthogonality between the two users’ signals. Therefore, successive-interference cancellation (SIC) is exploited to remove the undesired signal of the other user. The outage probability and the bit-error rate performance are presented over different signal-to-interference-plus-noise ratio (SINR). Furthermore, Monte-Carlo simulations via Matlab are utilized to verify the results obtained by FPGA, which show exact-close match.

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Fast Power and Performance Evaluation of FPGA-Based Wireless Communication Systems

Abstract: International audienc

Cited by 21 publications

References 28 publications

Power Estimation of QPSK and BPSK Modulation Systems for FPGAs based on IP Modeling for Wireless Applications

Power Estimation of QPSK and BPSK Modulation Systems for FPGAs based on IP Modeling for Wireless Applications

Stochastic Power Consumption Model of Wireless Transceivers

On the performance of non-orthogonal multiple access (NOMA) using FPGA

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