High-level simulation and power modelling of mixed-signal front-ends for digital telecommunications

As CMOS technology scales down, digital supply voltage and digital power consumption goes down. However, the supply voltage and power consumption of the RF front-end and analog sections do not scale in a similar fashion. In fact, in many state-of-the-art communication transceivers, RF and analog sections can consume more energy compared to the digital part. In this paper, first, a system level energy model for all the components in the RF and analog front-end is presented. Next, the RF and analog front-end energy consumption and communication quality of three representative systems are analyzed: a single user point-to-point wireless data communication system, a multi-user code division multiple access (CDMA)-based system and a receive-only video distribution system. For the single user system, the effect of occupied signal bandwidth, peak-to-average ratio (PAR), symbol rate, constellation size, and pulse-shaping filter roll-off factor is analyzed; for the CDMA-based multi-user system, the effect of the number of users in the cell and multiple access interference (MAI) along with the PAR and filter roll-off factor is studied; for the receive-only system, the effect of 1 noise for direct-conversion receiver and the effect of IF frequency for low-IF architecture on the RF front-end power consumption is analyzed. For a given communication quality specification, it is shown that the energy consumption of a wireless communication front-end can be scaled down by adjusting parameters such as the pulse shaping filter roll-off factor, constellation size, symbol rate, number of users in the cell, and signal center frequency.Index Terms-Energy-efficient, energy model, peak-to-mean ratio (PAR), pulse shaping roll-off factor, RF front-end.

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“…We obtain SER SNR (23) Equation (23) establishes the relationship between SER and parameters and . Fig.…”

Section: B Communication Qualitymentioning

confidence: 99%

A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends

Bakkaloglu

Chakrabarti

2007

IEEE Trans. VLSI Syst.

137

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“…where P C,i is the block power coefficient, V 2 I I P3,i is the block third order intercept point in V 2 RMS and V 2 n i is the block generated noise in the band of interest, input referred in V 2 RMS /Hz. In a linear model, P C,i is considered constant for a range of values for the performance parameters.…”

Section: Power Consumption Modelsmentioning

confidence: 99%

“…It is a concern in the literature to model the power or energy consumption of RF transceivers to optimize the communication as a whole [2][3][4][5][6][7][8]. In [2], The concept of Figure of Merit (FoM) is introduced, the power consumption being linearly dependent on the G over NF. No averaged value is provided for the FoM.…”

Section: Introductionmentioning

confidence: 99%

System Level Design of RF Receivers Based on Non Linear Optimization and Power Consumption Models

Lolis¹,

Stroski²,

Lima³

2019

RADIOENGINEERING

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This work presents a method to optimally distribute the block specifications in an RF receiver in order to reduce power consumption. The parameters are Gain (G), Noise Figure (N F) and Input Third Order Intercept Point (IIP3). The method is based on setting the signal quality per block at the output; Signal to Noise Ratio (SNR) for noise and Signal to Noise plus Distortion ratio (SNDR) for linearity. Both are limited in order to fulfill the sensitivity and intermodulation tests of a given standard. Nonlinear power models can be used as the method is based on heuristics associated with non linear optimization. First, random valid sets are tested "A" times, while the best candidate is chosen as starting point for a nonlinear optimization with bounds based on interior point algorithm. The process is repeated "B" times, and the best candidate is chosen. To validate the method, a direct-conversion receiver was dimensioned for the Long Term Evolution (LTE) and Bluetooth Low Energy (B-LE) standards. Three power models were used, labeled PM1, PM2 and PM3. First the LTE is considered. When compared to predetermined signal quality distributions, the method reduced the power consumption by 65% and 41%, considering PM1 and PM2, respectively. Then the B-LE is chosen with power model 2. This model is linear and has an analytical minimum derived in the literature. The optimization achieved a precision of 0.2% to the analytical minimum using A = 1000 and B = 15.

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“…So we assume f 0 a constant, for example, 433MHz in this paper. Assuming M=1, for a given d, the optimization problem can be given by (13) Here, L is assumed to be constant L req ,, which is reasonable for real WSNs. Once two of these parameters are determined, an optimal value of the left one should been chosen to make the system energy efficient by minimizing E bit .…”

Section: Performance Improvementmentioning

confidence: 99%

Energy Efficient Design of WSN Based on an Accurate Power Consumption Model

Kan

Cai

Zhao

et al. 2007

2007 International Conference on Wireless Communications, Networking and Mobile Computing

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A particular challenge in maintaining extended wireless sensor networks(WSNs) lifetime lies in achieving communications with low power. For better understanding of the design trade offs of WSNs, a more accurate power consumption model for wireless sensor node is proposed. Different from models ever showed, in which the power consumption of each component in WSN node is assumed constant , the new one takes into account energy dissipation of circuits in practical physical layer. It shows that there are some parameters such as data rate, carrier frequency, RF output power et al, which have a significant effect on the WSN node with the metric energy per useful bit (EPUB). Then an optimal design method to make the network energy efficient is described by adjusting one or more of these parameters. The efficiency of the strategy was validated by mathematical analysis and simulations. The results showed that the EPUB can be reduced by optimally choosing the rate-power combination based on the proposed power consumption model for a given load .

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High-level simulation and power modelling of mixed-signal front-ends for digital telecommunications

Cited by 11 publications

References 7 publications

A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends

A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends

System Level Design of RF Receivers Based on Non Linear Optimization and Power Consumption Models

Energy Efficient Design of WSN Based on an Accurate Power Consumption Model

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