Energy-scalable OFDM transmitter design and control

Debaillie, Björn; Bougard, Bruno; Lenoir, G.; Vandersteen, Gerd; Catthoor, Francky

doi:10.1145/1146909.1147050

Cited by 28 publications

(15 citation statements)

References 17 publications

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“…In recent years there has been work in the design of RF transceiver systems that can adapt to channel conditions to save power. In [7], the authors present a power management scheme that modulates the data rate based on a channel quality metric derived from the analysis of received symbols. For each data rate, the circuit is tuned to a fixed supply or bias voltage to save power.…”

Section: Adaptive Low Power Control Frameworkmentioning

confidence: 99%

“…For brevity, we focus on a RF receiver subsystem although the same concepts can be applied to an RF transmitter as well. At the symbol level, it is seen that the "outer" constellation points of the received constellation are more susceptible to decreased IIP3 values resulting from voltage overscaling [7]. We propose a probabilistic symbol remapping technique which encodes the most probable Most Significant Bits (MSBs) of image/voice signals into the inner constellation points of the received constellation.…”

Section: Introductionmentioning

confidence: 99%

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Aggressively voltage overscaled adaptive RF systems using error control at the bit and symbol levels

Jayaprakash

Kumar

Sen

et al. 2009

2009 15th IEEE International on-Line Testing Symposium

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Voltage overscaling for power reduction in RF systems has been limited by the need to maintain sufficient overscaling guard bands to ensure that minimum signal quality requirements of the end to end communication link are met. In this paper, we propose error control mechanisms at the symbol (probabilistic symbol remapping) and bit levels (code based correction and feedback) that allow more aggressive voltage overscaling than is possible otherwise. Error control feedback is used to continuously monitor and control the tuning knobs of the front end RF circuitry to trade off signal quality vs. power consumption. Real time image and voice data is used to demonstrate this concept. Significant power savings is achieved using the proposed scheme while maintaining minimum signal quality as required by the wireless communication link.

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Section: Adaptive Low Power Control Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Aggressively voltage overscaled adaptive RF systems using error control at the bit and symbol levels

Jayaprakash

Kumar

Sen

et al. 2009

2009 15th IEEE International on-Line Testing Symposium

View full text Add to dashboard Cite

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“…Techniques for power minimization in RF circuits include bias current reuse [5], functional combination [6], controlled positive feedback [7], and sub threshold biasing [8]. An energy scalable RF transmitter with increased power efficiency was presented in [9].…”

Section: Introductionmentioning

confidence: 99%

“…Existing wireless power management schemes [9]- [11] modulate the data rate (radio-link control) based on the certain channel quality metrics derived from the analysis of received training symbols. Training symbols are short bit sequences that are transmitted prior to the data to ascertain the channel, and to calibrate the receiver for current channel conditions.…”

Section: Introductionmentioning

confidence: 99%

VIZOR: Virtually zero margin adaptive RF for ultra low power wireless communication

Senguttuvan

Sen

Chatterjee

2007

2007 25th International Conference on Computer Design

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1Modern wireless transceiver systems are often overdesigned to meet the requirements of low bit error rate values at high data rates under worst-case channel operating conditions (interference, noise, multi-path effects). This results in circuits being designed with "sufficient" margins leading to lower efficiency and high power consumption. In this paper, we develop an adaptive power management strategy for RF systems that optimally trades-off power vs. performance for the RF front-end to maintain operation at or below a specified maximum bit error rate (BER) across temporally changing operating conditions. As the communication channel degrades, more power is consumed by the RF front end and vice versa. Since the maximum bit-error rate specification is not violated, minimum voice or video quality through the wireless channel is always guaranteed.

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“…For example at the transmitter side, a 3-stage PA driver is made reconfigurable by changing load resistance, degeneration levels and bias currents. This allows realizing a large gain in power consumption when the linearity and output power is tuned to the instantaneous requirements instead of the worst-case [8]. Another bottleneck is the ADC that must be able to work at state-of-the-art performance levels and energy constraints for sampling rates ranging from kHz to 10s of MHz.…”

Section: Introductionmentioning

confidence: 99%

Low-power SDRs through cross-layer control: concepts at work

Dejonghe

Declerck

Naessens

et al. 2007

2007 16th IST Mobile and Wireless Communications Summit

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Wireless access schemes will be implemented on Software Defined Radios (SDRs) in the future. In mobile terminals, SDRs should couple a high functional flexibility to low power operation. A two-step approach is advocated in this context. First, energy-scalability is introduced in the SDR design. Secondly, intelligent run-time cross-layer control is introduced to enable low power operation, by exploiting this scalability as well as the dynamics in the system. As a result, SDRs can be realized achieving a power consumption which can be comparable with dedicated radios, both in standby/idle mode or when transmitting or receiving data. This concept is validated on a transaction-level model (TLM) of our SDR platform, showing architectural integration and paving the way towards chip instantiation.

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Energy-scalable OFDM transmitter design and control

Cited by 28 publications

References 17 publications

Aggressively voltage overscaled adaptive RF systems using error control at the bit and symbol levels

Aggressively voltage overscaled adaptive RF systems using error control at the bit and symbol levels

VIZOR: Virtually zero margin adaptive RF for ultra low power wireless communication

Low-power SDRs through cross-layer control: concepts at work

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