Low-power all-analog circuit for rectangular-type analog joint source channel coding

Zhao, Xueyuan; Sadhu, Vidyasagar; Pompili, Dario

doi:10.1109/iscas.2016.7527514

Cited by 12 publications

(39 citation statements)

References 9 publications

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“…MOSFET-based Encoding at Transmitter: Ideally, any new space-filling curves for AJSCC should preserve these properties: (i) they should achieve better trade-off between channel noise/compression and approximation noise; (ii) they should be realizable using all-analog components; and (iii) they should result in a unique mapping (i.e., two or more sensor values should map to only one AJSCC encoded value). Given these desirable properties of a space filling curve, we propose the idea of using the IV charactersitics of a MOSFET in saturation region as the space-filling curve (instead of using rectangular parallel lines as used in [9,15]). A MOSFET has three terminals: Gate (G), Drain (D), and Source (S).…”

Section: Proposed Solutionmentioning

confidence: 99%

“…Our Vision: To realize JSCC in an energy-efficient manner, we take a completely different path compared to previous approaches that implement rectangular Shannon Mapping [9]. We propose to realize JSCC using the input-output (also called IV, which stands for current-voltage) characteristics of a single Metal Oxide Semiconductor Field Effect Transistor (MOSFET) device as the space-filling curve for JSCC.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of the authors' knowledge, ours is the first work to realize a different spacefilling curve in hardware analog domain than the rectangular JSCC. Among those that realize rectangular AJSCC, Zhao et al [9] proposed all-analog sensor design that realizes AJSCC using Voltage Controlled Voltage Sources (VCVSs). This design, which they call, "Design 1" is an inefficient design as it adopts a fixed number of JSCC levels, hardware in each stage is duplicated, and does not scale with the number of levels.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards Ultra-Low-Power Realization of Analog Joint Source-Channel Coding using MOSFETs

Sadhu

Devaraj

Pompili

2019

2019 IEEE International Symposium on Circuits and Systems (ISCAS)

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Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, requires sensors that consume ultra-low power (so that they do not need to be put to sleep leading to loss of temporal and spatial resolution) and have low costs (for high density deployment). A novel encoding based on Metal Oxide Semiconductor Field Effect Transistors (MOSFETs) is proposed to realize Analog Joint Source Channel Coding (AJSCC), a low-complexity technique to compress two (or more) signals into one with controlled distortion. In AJSCC, the y-axis is quantized while the x-axis is continuously captured. A power-efficient design to support multiple quantization levels is presented so that the digital receiver can decide the optimum quantization and the analog transmitter circuit is able to realize that. The approach is verified via Spice and MATLAB simulations.

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Section: Proposed Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards Ultra-Low-Power Realization of Analog Joint Source-Channel Coding using MOSFETs

Sadhu

Devaraj

Pompili

2019

2019 IEEE International Symposium on Circuits and Systems (ISCAS)

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“…where We can notice that the slope of the current curves increases as V gs increases due to CLM, which we leverage to perform the decoding at the receiver, as explained below. I ds encodes the values of V gs (x 2 ) and V ds (x 1 )-as opposed to extracting the length of the curve from origin to the mapped point, as in [13], [21]. It is necessary to have a discrete set of y-axis (V gs ) values, and the actual y-axis value is mapped to the nearest value from the set and applied to the MOSFET to generate the encoded current (Fig.…”

Section: B Analog Sensing Substrate (Transmitter)mentioning

confidence: 99%

“…For 9 AJSCC levels (φ = 0.5 V, 2-stages), the power consumption is ≈ 24 µW. On the other hand, Design 1 [21] with 11 levels consumes 130 µW and Design 2 [13] with 8 levels consumes 64 µW.…”

Section: A Analog Sensing Substratementioning

confidence: 99%

Energy-efficient analog sensing for large-scale, high-density persistent wireless monitoring

Sadhu

Zhao

Pompili

2017

2017 13th Annual Conference on Wireless on-Demand Network Systems and Services (WONS)

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The research challenge of current Wireless Sensor Networks (WSNs) is to design energy-efficient, low-cost, highaccuracy, self-healing, and scalable systems for applications such as environmental monitoring. Traditional WSNs consist of low density, power-hungry digital motes that are expensive and cannot remain functional for long periods on a single power charge. In order to address these challenges, a dumbsensing and smart-processing architecture that splits sensing and computation capabilities is proposed. Sensing is exclusively the responsibility of analog substrate-consisting of low-power, lowcost all-analog sensors-that sits beneath the traditional WSN comprising of digital nodes, which does all the processing of the sensor data received from analog sensors. A low-power and low-cost solution for substrate sensors has been proposed using Analog Joint Source Channel Coding (AJSCC) realized via the characteristics of Metal Oxide Semiconductor Field Effect Transistor (MOSFET). Digital nodes (receiver) also estimate the source distribution at the analog sensors (transmitter) using machine learning techniques so as to find the optimal parameters of AJSCC that are communicated back to the analog sensors to adapt their sensing resolution as per the application needs. The proposed techniques have been validated via simulations from MATLAB and LTSpice to show promising performance and indeed prove that our framework can support large scale high density and persistent WSN deployment.

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Joint Source-Channel Coding System for 6G Communication: Design, Prototype and Future Directions

Zhong,

Sham,

et al. 2024

IEEE Access

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The emergence of the AI era signifies a shift in the future landscape of global communication networks, wherein robots are expected to play a more prominent role compared to humans. The establishment of a novel paradigm for the development of next-generation 6G communication is of utmost importance for semantics task-oriented empowered communications. The goal of semantic communication lies in the integration of collaborative efforts between the intelligence of the transmission source and the joint design of source coding and channel coding. This characteristic represents a significant benefit of joint source-channel coding (JSCC), as it enables the generation of source alphabets with diverse lengths and achieves a code rate of unity. Therefore, we leverage not only quasi-cyclic (QC) characteristics to facilitate the utilization of flexible structural hardware design but also Unequal Error Protection (UEP) to ensure the recovery of semantic importance. In this study, the feasibility of using a semantic encoder/decoder that is aware of UEP can be explored based on the existing JSCC system. This approach is aimed at protecting the significance of semantic task-oriented information. Additionally, the deployment of a JSCC system can be facilitated by employing QC-Low-Density Parity-Check (LDPC) codes on a reconfigurable device. The QC-LDPC layered decoding technique, which has been specifically optimized for hardware parallelism and tailored for channel decoding applications, can be suitably adapted to accommodate the JSCC system. The performance of the proposed system is evaluated by conducting BER measurements using both floating-point and 6-bit quantization. This is done to assess the extent of performance deterioration in a fair manner. The fixedpoint system is synthesized and subsequently used as a semantic feature transmission and reception system across a noisy channel, with the aim of presenting a prototype for semantic communications. This study concludes with some insights and potential research avenues for the JSCC prototype in the context of future communication.

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Low-power all-analog circuit for rectangular-type analog joint source channel coding

Cited by 12 publications

References 9 publications

Towards Ultra-Low-Power Realization of Analog Joint Source-Channel Coding using MOSFETs

Towards Ultra-Low-Power Realization of Analog Joint Source-Channel Coding using MOSFETs

Energy-efficient analog sensing for large-scale, high-density persistent wireless monitoring

Joint Source-Channel Coding System for 6G Communication: Design, Prototype and Future Directions

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