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Record W2039698130 · doi:10.1109/asscc.2013.6691077

An energy efficient fully integrated OOK transceiver SoC for wireless body area networks

2013· article· en· W2039698130 on OpenAlexaff
Bo Zhao, Yinan Sun, Wei Zou, Yong Lian, Yongpan Liu, Huazhong Yang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsYork University
FundersNational Natural Science Foundation of China
KeywordsBasebandTransceiverCMOSTransmitterElectrical engineeringElectronic engineeringLow-power electronicsChipComputer scienceEngineeringPower (physics)PhysicsChannel (broadcasting)

Abstract

fetched live from OpenAlex

This work presents a low-power high-speed system-on-chip (SoC) for wireless body area networks (WBANs). The SoC is fully integrated with a 10 Mb/s on-off keying (OOK) RF transceiver, digital processing units, an 8051 micro-controlled unit (MCU), a successive approximation (SAR) ADC, and etc. The receiver adopts envelop detector (ED) based structure to improve the energy efficiency. Conventional ED based structure has a poor sensitivity when reaching a bit rate of Mb/s level. To resolve the problem, we design a receiving (Rx) front-end with 77 dB gain at 10 Mb/s data rate, and propose a novel supply isolation scheme to avoid the instability induced by such a high gain. The transmitter is based on a 2 GHz digitally controlled oscillator (DCO), which uses bond wires as inductors to further reduce the power at transmitting (Tx) mode. The digital baseband is designed by a near-threshold design (NTD) method for low power consumption. The chip is implemented with 0.13 μm CMOS technology, measured results show that the receiver consumes 0.214 nJ/bit at -65 dBm sensitivity, and the Tx energy efficiency is 0.285 nJ/bit at an output power of -5.4 dBm. In addition, the digital baseband consumes 34.8 pJ/bit with its supply voltage lowered to 0.55 V, indicating its energy per bit is reduced to nearly 1/4 of the super-threshold operation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.189
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2013
Admission routes1
Has abstractyes

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