4. Filter Bank Techniques for Multi-Carrier Cognitive Radio Systems

  1. David Grace2 and
  2. Honggang Zhang3
  1. Yun Cui1,
  2. Zhifeng Zhao1,
  3. Rongpeng Li1,
  4. Guangchao Zhang1 and
  5. Honggang Zhang1,3

Published Online: 24 JUL 2012

DOI: 10.1002/9781118360316.ch4

Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation

Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation

How to Cite

Cui, Y., Zhao, Z., Li, R., Zhang, G. and Zhang, H. (2012) Filter Bank Techniques for Multi-Carrier Cognitive Radio Systems, in Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation (eds D. Grace and H. Zhang), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118360316.ch4

Editor Information

  1. 2

    Department of Electronics, University of York, UK

  2. 3

    Department of Information Science and Electronic Engineering, Zhejiang University, China

Author Information

  1. 1

    Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

  2. 3

    Department of Information Science and Electronic Engineering, Zhejiang University, China

Publication History

  1. Published Online: 24 JUL 2012
  2. Published Print: 31 AUG 2012

ISBN Information

Print ISBN: 9781119951506

Online ISBN: 9781118360316

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Keywords:

  • filter bank techniques for multi-carrier CR systems;
  • multi-carrier, high spectral/flexible switching carrier frequency;
  • resilience to multi-path interference;
  • FBMC, and differences between FBMC and OFDM;
  • filter banks, in reducing OFDM out-of-band emission;
  • complex multiplications for complexity estimation;
  • OFDM or FMBC computational complexity reduction, in CR scenario;
  • DTD, computational complexity reduction, input uniformly distributed;
  • FBMC, low out-of-band, no cyclic prefix, improving spectrum efficiency;
  • FBMC, and energy consumption reduction, more ‘green’

Summary

This chapter contains sections titled:

  • Introduction

  • Basic Features of Filter Banks-Based Multi-Carrier Techniques

  • Adaptive Threshold Enhanced Filter Bank for Spectrum Detection in IEEE 802.22

  • Transform Decomposition for Spectrum Interleaving in Multi-Carrier Cognitive Radio Systems

  • Remaining Problems in Filter Banks-Based Multi-Carrier Systems

  • Summary and Conclusion

  • References