Ultra-wideband cognitive radio for dynamic spectrum accessing networks

Honggang Zhang, Xiaofei Zhou, Tao Chen

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    1 Citation (Scopus)


    This chapter describes the concept and approach of ultra-wideband cognitive radio (CR-UWB), a wireless technique based on UWB transmission able to self-adapt to the characteristics of the surrounding wireless communications environment. A novel strategy to exploit the advantages and features of integrating cognitive radio (CR) with the UWB technology is investigated with an aim of exploring UWB radio as an enabling technology for implementing cognitive radio. In particular, dynamic spectrum accessing and sharing based upon the spectrum agility and adaptation flexibility is proposed. At first, a common architecture supported by CR-UWB corresponding to heterogeneous networking scenarios is illustrated. Then, a number of concrete technical methods for generation of the transmittercentric spectrum-agile waveforms, which take advantage of the adaptive combination of a set of orthogonal UWB pulse waveforms complying with the FCC spectral mask at the transmitter side, are discussed. Furthermore, various transmit power control and optimization schemes for improving the system capacity as well as the bit-error-rate (BER) performance are derived. Finally, the receiver-centric spectrum-agile waveform adaptation, which is characterized by generating the spectrum-agile UWB waveforms complying with the receiving interference limit rather than the FCC spectral mask is analyzed.
    Original languageEnglish
    Title of host publicationCognitive Radio Networks
    EditorsYang Xiao, Fei Hu
    PublisherCRC Press
    ISBN (Electronic)978-0-4291-2090-9
    ISBN (Print)978-1-4200-6420-9
    Publication statusPublished - 2008
    MoE publication typeA3 Part of a book or another research book


    Dive into the research topics of 'Ultra-wideband cognitive radio for dynamic spectrum accessing networks'. Together they form a unique fingerprint.

    Cite this