CMOS RF Transceiver considerations for Dynamic Spectrum Access

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Cognitive Radio (CR), and in particular dynamic spectrum access (DSA), promises a much more efficient use of the spectrum by opportunistically using available frequencies. This asks for specific functionality, like spectrum sensing and frequency-agile transmission and reception. We will show that this functionality poses challenging hardware requirements, which go far beyond what is currently possible with an analogue-to-digital converter (ADC) and digital-to-analogue converter (DAC). Instead, a transceiver (transmitter+receiver) with filtering and frequency conversion is required. By starting from a mathematical abstraction for the description of transceivers and an overview on transceiver implementation, we will show that the flexibility required by CR calls for changes in the architecture, putting severe constraints on linearity and spurious emission performance. We will discuss several existing and proposed solutions to alleviate the design of CR transceivers and spectrum sensing functionality, with a special emphasis on CMOS as it is low-cost and enables the integration of both analogue and digital on one integrated circuit (IC). *****
Original languageEnglish
Title of host publicationCognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation
Place of PublicationUSA
PublisherWiley
Pages417-462
Number of pages46
ISBN (Print)978-1-1199-5150-6
Publication statusPublished - 1 Aug 2012

Publication series

Name
PublisherJohn Wiley & Sons

Fingerprint

Cognitive radio
Transceivers
Digital to analog conversion
Integrated circuits
Costs

Keywords

  • EWI-22458
  • METIS-289763
  • IR-82196

Cite this

Oude Alink, M. S., Klumperink, E. A. M., Kokkeler, A. B. J., Smit, G. J. M., & Nauta, B. (2012). CMOS RF Transceiver considerations for Dynamic Spectrum Access. In Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation (pp. 417-462). USA: Wiley.
Oude Alink, M.S. ; Klumperink, Eric A.M. ; Kokkeler, Andre B.J. ; Smit, Gerardus Johannes Maria ; Nauta, Bram. / CMOS RF Transceiver considerations for Dynamic Spectrum Access. Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation. USA : Wiley, 2012. pp. 417-462
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Oude Alink, MS, Klumperink, EAM, Kokkeler, ABJ, Smit, GJM & Nauta, B 2012, CMOS RF Transceiver considerations for Dynamic Spectrum Access. in Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation. Wiley, USA, pp. 417-462.

CMOS RF Transceiver considerations for Dynamic Spectrum Access. / Oude Alink, M.S.; Klumperink, Eric A.M.; Kokkeler, Andre B.J.; Smit, Gerardus Johannes Maria; Nauta, Bram.

Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation. USA : Wiley, 2012. p. 417-462.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

TY - CHAP

T1 - CMOS RF Transceiver considerations for Dynamic Spectrum Access

AU - Oude Alink, M.S.

AU - Klumperink, Eric A.M.

AU - Kokkeler, Andre B.J.

AU - Smit, Gerardus Johannes Maria

AU - Nauta, Bram

PY - 2012/8/1

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N2 - Cognitive Radio (CR), and in particular dynamic spectrum access (DSA), promises a much more efficient use of the spectrum by opportunistically using available frequencies. This asks for specific functionality, like spectrum sensing and frequency-agile transmission and reception. We will show that this functionality poses challenging hardware requirements, which go far beyond what is currently possible with an analogue-to-digital converter (ADC) and digital-to-analogue converter (DAC). Instead, a transceiver (transmitter+receiver) with filtering and frequency conversion is required. By starting from a mathematical abstraction for the description of transceivers and an overview on transceiver implementation, we will show that the flexibility required by CR calls for changes in the architecture, putting severe constraints on linearity and spurious emission performance. We will discuss several existing and proposed solutions to alleviate the design of CR transceivers and spectrum sensing functionality, with a special emphasis on CMOS as it is low-cost and enables the integration of both analogue and digital on one integrated circuit (IC). *****

AB - Cognitive Radio (CR), and in particular dynamic spectrum access (DSA), promises a much more efficient use of the spectrum by opportunistically using available frequencies. This asks for specific functionality, like spectrum sensing and frequency-agile transmission and reception. We will show that this functionality poses challenging hardware requirements, which go far beyond what is currently possible with an analogue-to-digital converter (ADC) and digital-to-analogue converter (DAC). Instead, a transceiver (transmitter+receiver) with filtering and frequency conversion is required. By starting from a mathematical abstraction for the description of transceivers and an overview on transceiver implementation, we will show that the flexibility required by CR calls for changes in the architecture, putting severe constraints on linearity and spurious emission performance. We will discuss several existing and proposed solutions to alleviate the design of CR transceivers and spectrum sensing functionality, with a special emphasis on CMOS as it is low-cost and enables the integration of both analogue and digital on one integrated circuit (IC). *****

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KW - METIS-289763

KW - IR-82196

M3 - Chapter

SN - 978-1-1199-5150-6

SP - 417

EP - 462

BT - Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation

PB - Wiley

CY - USA

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Oude Alink MS, Klumperink EAM, Kokkeler ABJ, Smit GJM, Nauta B. CMOS RF Transceiver considerations for Dynamic Spectrum Access. In Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation. USA: Wiley. 2012. p. 417-462