Reconfigurable RF front-ends for cognitive and software-defined radio

doi:10.1017/CBO9781107295537.005

4 - Reconfigurable RF front-ends for cognitive and software-defined radio

from Part II - Adaptable receivers for white space technologies

Published online by Cambridge University Press: 05 October 2014

Erick Emmanuel Djoumessi and

Ke Wu

Edited by

Nuno Borges Carvalho ,

Alessandro Cidronali and

Roberto Gómez-García

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Erick Emmanuel Djoumessi: Affiliation:
Intel Corporation United States
Ke Wu: Affiliation:
University of Montreal
Nuno Borges Carvalho: Affiliation:
Universidade de Aveiro, Portugal
Alessandro Cidronali: Affiliation:
Università degli Studi di Firenze, Italy
Roberto Gómez-García: Affiliation:
Universidad de Alcalá, Madrid

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Summary

Introduction

Over the last decade, cognitive and software-defined radio (CSDR) systems have been presented as a potential solution to overcome problems that are encountered by the current multi-standard communication radios and also widely perceived spectral congestion hurdles. Note that spectral crowding and congestion problems are generally observed in certain frequency bands around metropolitan areas for certain periods of time while other bands may remain relatively unused or idle. This situation of unbalanced or nonuniformed spectral use may be remedied by the “cognitive” or “intelligent” function of radio systems. This is usually done through the receiver platform, even though the transmitter side may also be involved. There are two fundamental aspects or definitions to consider when talking about CSDR systems as illustrated in [1]. The first aspect is the software-defined radio (SDR), defined as a digital radio that can operate as: (a) a multi-band system that supports more than one frequency band, (b) a multi-standard system that supports more than one standard family (e.g., cellular systems, WLAN, WiMAX, IEEE802.11e), (c) a multi-service system that provides different services (e.g. voice, data, video streaming), and finally (d) a multi-channel system that supports two or more independent transmit and receive channels at the same time (e.g. frequency division duplex (FDD)). The second aspect is the cognitive radio (CR), defined as an SDR with capabilities to sense its electromagnetic spectral environment, and to track and react to changes and findings in a smart manner.

Type: Chapter
Information: White Space Communication Technologies , pp. 105 - 142

DOI: https://doi.org/10.1017/CBO9781107295537.005 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2014

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References

[1] Jondral, F. K. (2005), “Software-Defined Radio Basics and Evolution to Cognitive Radio,” EURASIP Journal on Wireless Communications Networking, 3, 275–283Google Scholar

[2] Mohr, B., Zimmermann, N., Thiel, T., and Mueller, H. (2012), “An RFDAC Based Reconfigurable Multistandard in 65 nm CMOS,” Radio Frequency Integrated Circuits Symposium (RFIC), 109–112.Google Scholar

[3] Taleie, S., Han, Y., Copani, T., and Bakkaloglu, B. (2008), “A 0.18 um CMOS Fully Integrated RFDAC and VGA for WCDMA Transmitters,” Radio Frequency Integrated Circuits Symposium (RFIC), IEEE Conference Publications, 157–160.Google Scholar

[4] Abidi, A. A. (1995), “Direct-Conversion Radio Transceivers for Digital Communications,” IEEE Journal of Solid-State Circuits, 30(12), 1399–1410.CrossRef Google Scholar

[5] Svitek, R. and Raman, S. (2005), “DC Offsets in Direct-Conversion Receivers: Characterization and Implications,” IEEE Microwaves Magazine, 76–86.Google Scholar

[6] Abidi, A. A. (2007), “The Path to the Software-Defined Radio Receiver,” IEEE Journal of Solid-State Circuits, 42(5), 954–966.CrossRef Google Scholar

[7] Craninckx, J. (2012), “CMOS Software-Defined Radio Transceivers: Analog Design in Digital Technology,” IEEE Communications Magazine, 136–144.Google Scholar

[8] Jakoby, R., Scheele, P., Muller, S., and Weil, S. (2004), “Nonlinear Dielectrics for Tunable Microwave Components,” in Proc. 15th Annu. Mikon Conf. Microw., Radar and Wireless Comm, 369–378.Google Scholar

[9] Rebeiz, G. M. and Muldavin, J. B. (2001), “RF MEMS Switches and Switch Circuits,” IEEE Microwaves Magazine, 2, 59–71.Google Scholar

[10] York, B. et al. (2001), “Microwave Integrated Circuits Using Thin-Film BST,” IEEE MTT-S Int. Microwave Symp.Google Scholar

[11] Mueller, S. et al. (2005), “Passive Tunable Liquid Crystal Finline Phase Shifter for Millimeter Waves,” European Microwave Conference, 4–6.Google Scholar

[12] Mueller, S. et al. (2005), “Broadband Microwave Characterization of Liquid Crystals Using a Temperature Controlled Coaxial Transmission Line,” IEEE Transactions on Microwaves Theory and Techniques, 1937–1945.Google Scholar

[13] Penirschke, A. et al. (2004), “Cavity Perturbation Method for Characterization of Liquid Crystals up to 35 GHz,” European Microwave Conference, 545–548.Google Scholar

[14] Martin, N. et al. (2003), “Patch Antenna Adjustable in Frequency Using Liquid Crystal,” 33rd European Microwave Conference, 699–702.Google Scholar

[15] Craninckx, J. et al. (2011), “SAW-Less Software-Defined Radio Transceivers in 40 nm CMOS,” Custom IC Conference.Google Scholar

[16] Staszewski, R. B. et al. (2004), “All-Digital TX Frequency Synthesizer and Discrete Time Receiver for Bluetooh Radio in 130-nm CMOS,” IEEE Journal of Solid State Circuits, 2278–2291.Google Scholar

[17] Muhammad, K. et al. (2005), “Digital RF Processing: Toward Low-Cost Reconfigurable Radio,” IEEE Communication Magazine, 105.13.Google Scholar

[18] Geis, A. et al. (2010), “A 0.5 mm2 Power-Scalable 0.5–3.8 GHz CMOS DT-SDR Receiver with Second-Order RF Bandpass Sampler,” IEEE Journal Solid-State Circuits, 2375–2387.Google Scholar

[19] Mirzaie, A. et al. (2010), “A 65nm CMOS Quad-Band SAW-less Receiver for GSM/GPRS/EDGE,” VLSI Dig. Of Tech. Papers, 179–180.Google Scholar

[20] Cook, B. et al. (2006), “Low-Power 2.4 GHz Transceiver with Passive Rx Front-End and 400-mV Supply,” IEEE J. Solid-State Circuits, 2757–2766.Google Scholar

[21] Borremans, J. et al. (2010), “A Sub-3dB NF Voltage-Sampling Front-End with +18 dBm IIP3 and +2dBm Blocker Compression Point,” Proc. Of ESSCIRC.CrossRef Google Scholar

[22] Djoumessi, E., Tatu, S., and Wu, K. (2010), “Frequency-Agile Dual-Band Direct Conversion Receiver for Cognitive Radio Systems,” IEEE Transactions on Microwave Theory and Technique, 87–94.Google Scholar

[23] Djoumessi, E. E., Chaker, M., and Wu, K. (2009), “Varactor-Tuned Dual-Mode Bandpass Filter for Wireless Applications,” Radio and Wireless Conf., 646–649.Google Scholar

[24] Djoumessi, E. E., Tatu, S., Bosisio, R.G., Chaker, M., and Wu, K. (2008), “Varactor-Tuned Multiband Six-Port Front-End for Wireless Applications,” Asia-Pacific Microwave Conf, 1–5.Google Scholar

[25] Rebeiz et al. (2009), “Tuning in to RF MEMS,” IEEE Microwaves Magazine, 55–72.

[26] Gevorgian et al. (2009), “Agile Microwave Devices,” IEEE Microwaves Magazine, 93–98.

[27] Entesari, K. et al. (2008), “RF MEMS, BST and GaAs Varactor System-Level Response in Complex Modulation Systems,” Microwave Comput. Aided Eng., 86–98.Google Scholar

[28] Entesari, K. et al. (2007), “A 25-75 MHz RF MEMS Tunable Filter,” IEEE Transactions on Microwave Theory and Technique, 2399–2405.Google Scholar

[29] El-Tanani et al. (2010), “High-Performance 1.5-2.5 GHz RF MEMS Tunable Filters for Wireless Applications,” IEEE Transactions on Microwave Theory and Technique, 1629–1637.

[30] Park et al. (2006), “Low-Loss 5.15-5.7 GHz RF MEMS Switchable Filter for Wireless LAN Applications,” IEEE Transactions on Microwave Theory and Technique, 3931–3939.

[31] Park et al. (2008), “Low-Loss 4-6 GHz with 3-Bit Orthogonal RF MEMS Capacitance Network,” IEEE Transactions on Microwave Theory and Technique, 2348–2355.

[32] Roy, M. K. and Richter, J. (2006), “Tunable Ferroelectric Filter for Software Defined Tactical Radios,” 15th IEEE Int. Symposium on the Application of Ferroelectric, 348–351.Google Scholar

[33] Tombak, A. et al. (2003), “Volatge-Controlled RF Filters Employing Thin-Film Barium-Strontium Titanate Tunable Capacitors,” IEEE Transactions on Microwave Theory and Technique, 2462–467.Google Scholar

[34] Fu, J.-S. et al. (2006), “A Fully Integrated Low Voltage Tunable Bandpass Filter Using Thin Film Ferroelectric Varactors,” IEEE MTT-S Int. Microwave Symposium.Google Scholar

[35] Papapolymerou, J. et al. (2006), “A Miniature Low-Loss Slow-Wave Tunable Ferroelectric Bandpass Filter from 11–14 GHz,” IEEE MTT-S Int. Microwave Symposium, 556–559.Google Scholar

[36] Kuylenstierna, D., Vorobiev, A., and Gevorgian, S. (2006), “40 GHz Lumped Element Tunable Bandpass Filters with Transmission Zeros Based on Thin Ba0.25Sr0.75TiO3 (BST) Film Varactors,” Silicon Monolithic Integrated Circuit in RF Systems.Google Scholar

[37] Xiang, Q., Feng, Q., Huang, X., and Jia, D. (2013), “Electrical Tunable Microstrip LC Bandpass With Constant Bandwidth,” IEEE Transactions on Microwave Theory and Technique, 1124–1130.Google Scholar

[38] Xu-Giang, Young-Ho, and Sang-Won, Y. (2012), “A Tunable Combline Bandpass Filter Loaded With Series Resonator,” IEEE Transactions on Microwave Theory and Technique, 1569–1576.Google Scholar

[39] Mohamed, M. A. et al. (2010), “Novel Reconfigurable Fundamental/Harmonic Matching Network for Enhancing the Efficiency of Power Amplifiers,” Proc. 40th Eur. Microw. Conf., Paris, France. 1122–1125.Google Scholar

[40] Mohamed, M. A. et al. (2013), “Reconfigurable Doherty Power Amplifier for Multifrequency Wireless Radio Systems,” IEEE Transactions on Microwave Theory and Technique, 1588–1598.Google Scholar

[41] Chen, L.-Y. et al. (2004), “Analog Tunable Matching Network Using Integrated Thin-film BST Capacitors,” IEEE MTT-S Int. Microwave Symposium digest, 261–264.Google Scholar

[42] Cardona, A. (2011), “Tunable BaSrTiO3 Applications for the RF Front-End,” IEEE MTT-S Int. Microwave Symposium digest, 1–4.Google Scholar

[43] Neo, E. et al. (2006), “Adaptative Multi-Band Multi-Mode Power Amplifier Using Integrated Varactor-Based Tunable Matching Networks,” IEEE Journal of Solid-State Circuits, 2166–2176.Google Scholar

[44] Chen, K. and Peroulis, D. (2012), “Design of Broadband Highly Efficient Harmonic-Tuned Power Amplifier Using In-Band Continuous Class-F-1/F mode Transferring,” Proc. IEEE Int. Microw. Symp., Montreal, QC, Canada, 1–3.Google Scholar

[45] Sun, G. and Jansen, R. H. (2012), “Broadband Doherty Power Amplifier via Real Frequency Technique,” IEEE Transactions on Microwave Theory and Technique, 99–111.Google Scholar

[46] Kim, U. et al. (2012), “A Multiband Reconfigurable Power Amplifier for UMTS Handset Applications,” IEEE Transactions on Microwave Theory and Technique, 2532–2542.Google Scholar

[47] Zhang, H., Gao, H., and Li, G. (2005), “Broad-Band Power Amplifier with a Novel Tunable Output Matching Network,” IEEE Transactions on Microwave Theory and Technique, 3606–3614.Google Scholar

[48] Fukuda, A. et al. (2006), “A 0.9-5 GHz Wide-Range 1 W-Class Reconfigurable Power Amplifier Employing RF-MEMS Switches,” Proc. IEEE Int. Microw. Symp., Dig., 1859–1862.Google Scholar

[49] Meyer, R. G. and Stephens, M. (1975), “Distortion in Variable-Capacitance Diodes,” IEEE J. Solid-State Circuits, 47–54.Google Scholar

[50] Buisman, K. et al. (2005), “Distortion free varactor diode topologies for RF adaptivity,” Proc. IEEE Int. Microw. Symp., Dig., 157–160.Google Scholar

[51] Mitola, J. (1995), “The Software Radio Architecture,” IEEE Commun. Mag., 26–38.Google Scholar

[52] Bagheri, R. et al. (2006), “An 800-MHz - 6-GHz Software-Defined Wireless Receiver in 90-nm CMOS,” IEEE J. Solid-State Circuits, 2860–2876.Google Scholar

[53] Chehrazi, S. et al. (2004), “Noise in Passive FET Mixers: A Simple Physical Model,” Proc. IEEE Custom Integrated Circuits Conf., 375–378.Google Scholar