A 5-GHz CMOS transceiver for IEEE 802.11a wireless LAN systems

Zargari, M.; Su, D.K.; Yue, C. Patrick; Rabii, S.; Weber, D.; Kaczynski, B.; Mehta, S.; Singh, None Dr. K. B.; Mendis, S.; Wooley, B.A.

doi:10.1109/jssc.2002.804353

Cited by 187 publications

(62 citation statements)

References 5 publications

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“…To obtain the maximum SFDR, the optimum allocation of the gain and filter rejection is achieved. A fully integrated receiver baseband analog chain, whose area is 1.32 mm 2 , is fabricated in 0.13 μm CMOS technology. An IIP3 of 22.9 dBm at a gain of 0.5 dB and IRN of 32.2 nV/√Hz at a gain of 63.3 dB are obtained.…”

Section: Discussionmentioning

confidence: 99%

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Design of Baseband Analog Chain with Optimum Allocation of Gain and Filter Rejection for WLAN Applications

Cha¹,

Kwon

2011

JSTS:Journal of Semiconductor Technology and Science

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Section: Discussionmentioning

confidence: 99%

“…The WLAN technologies will enable higher data rates and capacity than those of the initially developed systems [2]. However, providing higher data rates and capacity entails an increase in the total power dissipation.…”

Section: Introductionmentioning

confidence: 99%

Design of Baseband Analog Chain with Optimum Allocation of Gain and Filter Rejection for WLAN Applications

Cha¹,

Kwon

2011

JSTS:Journal of Semiconductor Technology and Science

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“…We focus on the power amplifier (PA) as it is generally the most power-hungry component in the transmitter consuming upwards of 600mW [32]. The PA efficiency is higher at high output power but due to non-linearity the signal distortion increases too.…”

Section: ) Energy Consumption Per Fragmentmentioning

confidence: 99%

“…Based on current implementations [32], the frequency synthesizer, ADC, DAC, LNA and filters are assumed to have fixed front-end power consumption P F E (Table II). We obtain the energy needed to send or receive a fragment of length L f rag :…”

Section: ) Energy Consumption Per Fragmentmentioning

confidence: 99%

MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks

Pollin

Mangharam

Bougard

et al. 2007

IEEE Trans. Wireless Commun.

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Part of the Electrical and Computer Engineering CommonsSuggested Citation: Pollin, S.; Mangharam, R.; Bougard, B.; Van der Perre, L.; Moerman, I.; Rajkumar, R.; Catthoor, F.; , "MEERA: Cross-Layer Methodology for Energy Efficient Resource Allocation in Wireless Networks," Wireless Communications, IEEE Transactions on , vol.7, no.1, pp.98-109, Jan. 2008. ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. MEERA: Cross-Layer Methodology for Energy Efficient Resource Allocation in Wireless Networks AbstractIn many portable devices, wireless network interfaces consume upwards of 30% of scarce system energy. Reducing the transceiver's power consumption to extend the system lifetime has therefore become a design goal. Our work is targated at this goal and is based on the following two observations. First, conventional energy management approaches have focused independently on minimizing the fixed energy cost (by shutdown) and on scalable energy costs (by leveraging, for example, the modulation, code-rate and transmission power). These two energy management approaches present a tradeoff. For example, lower modulation rates and transmission power minimize the variable energy component, but this shortens the sleep duration thereby increasing fixed energy consumption. Second, in order to meet the Quality of Service (QoS) timeliness requirements for multiple users, we need to determine to what extent each system in the network may sleep and scale. Therefore, we propose a two-phase methodology that resolves the sleep-scaling tradeoff across the physical, communications and link layers at design time and schedules nodes at runtime with near optimal energy-efficient configurations in the solution space. As a result, we are able to achieve very low run-time overheads. Our methodology is applied to a case study on delivering a guaranteed QoS for multiple users with MPEG-4 video over a slow-fading channel. By exploiting runtime controllable parameters of actual RF components and a modified 802.11 Medium Access Controller, system lifetime is increased by a factor of 3-to-10 in comparison with conventional techniques. Abstract-In many portable devices, wireless network interfaces consume upwards of 30% of scarce system energy. Reducing the transceiver's power consumption to extend the system lifetime has therefore become a design goal. Our work is targated at this goal and is based on the following two observations. First, conventional energy management approaches have focused independently on minimizing the fixed energy cost (by shutdown) and on scalable energy costs (by leveraging, for example, the modulation, code-rate and transmission power). These two energy management approaches present a tradeoff. For example, lower modulation rates and tran...

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“…The CMOS single-chip transceivers have been widely implemented at RF and microwave frequencies for low cost and high reliability [1,2]. As the gate width scales down deeply, the single-chip solution becomes feasible even at millimeter-wave (mm-wave) frequencies [3,4].…”

Section: Introductionmentioning

confidence: 99%

A Transformer-Matched Millimeter-Wave CMOS Power Amplifier

Park¹,

Jeon²

2016

JSTS:Journal of Semiconductor Technology and Science

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Abstract-A differential power amplifier operating at millimeter-wave frequencies is demonstrated using a 65-nm CMOS technology. All of the input, output, and inter-stage network are implemented by transformers only, enabling impedance matching with low loss and a wide bandwidth. The millimeter-wave power amplifier exhibits measured small-signal gain exceeding 12.6 dB over a 3-dB bandwidth from 45 to 56 GHz. The output power and PAE are 13 dBm and 11.7%, respectively at 50 GHz.

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A 5-GHz CMOS transceiver for IEEE 802.11a wireless LAN systems

Cited by 187 publications

References 5 publications

Design of Baseband Analog Chain with Optimum Allocation of Gain and Filter Rejection for WLAN Applications

Design of Baseband Analog Chain with Optimum Allocation of Gain and Filter Rejection for WLAN Applications

MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks

A Transformer-Matched Millimeter-Wave CMOS Power Amplifier

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