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Dynamic Spectrum Access for Wireless Networking

  1. This article presents results from a study of the potential effects of secondary users operating in unoccupied television spectrum. Television spectrum is known within the wireless communications community as ...

    Authors: Timothy R. Newman, Daniel DePardo, Alexander M. Wyglinski, Joseph B. Evans, Rakesh Rajbanshi, Victor R. Petty, Dinesh Datla, Frederick Weidling, Paul J. Kolodzy, Michael J. Marcus, Gary J. Minden and James A. Roberts
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:510867
  2. This paper investigates spectrum sharing issues in the unlicensed industrial, scientific, and medical (ISM) bands. It presents a radio frequency measurement setup and measurement results in 2.4 GHz. It then de...

    Authors: Hanyu Li, Mubashir Syed, Yu-Dong Yao and Theodoros Kamakaris
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:834527
  3. Cognitive wireless mesh networks have great flexibility to improve spectrum resource utilization, within which secondary users (SUs) can opportunistically access the authorized frequency bands while being comp...

    Authors: Xianfu Chen, Zhifeng Zhao, Tao Jiang, David Grace and Honggang Zhang
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:141097
  4. We address the problem of spectrum sharing where competitive operators coexist in the same frequency band. First, we model this problem as a strategic non-cooperative game where operators simultaneously share the...

    Authors: Mehdi Bennis, Samson Lasaulce and Merouane Debbah
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:295739
  5. We take a stochastic optimization approach to opportunity tracking and access in self-similar primary traffic. Based on a multiple time-scale hierarchical Markovian model, we formulate opportunity tracking and...

    Authors: Xiangyang Xiao, Keqin Liu and Qing Zhao
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:762547
  6. The sensing of the radio frequency environment has important commercial and military applications and is fundamental to the concept of cognitive radio. The detection and classification of low signal-to-noise r...

    Authors: O. A. Dobre, S. Rajan and R. Inkol
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:656719
  7. We propose an optimized dedicated broadband sensing receiver architecture for use in cognitive radios supporting delay sensitive applications. Specifically, we first reason the need for a dedicated sensing rec...

    Authors: Hassan Zamat and Balasubramaniam Natarajan
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:309212
  8. α-OFDM, a generalization of the OFDM modulation, is proposed. This new modulation enhances the outage capacity performance of bursty communications. The α-OFDM scheme is easily implementable as it only requires a...

    Authors: Romain Couillet and Mérouane Debbah
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:698417
  9. Sequential sensing algorithms are developed for OFDM-based hierarchical cognitive radio (CR) systems. Secondary users sense multiple subbands simultaneously for possible spectrum availabilities under hard misd...

    Authors: Seung-Jun Kim and Georgios B. Giannakis
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:421540
  10. This paper considers highly efficient antijamming system design using secure dynamic spectrum access control. First, we propose a collision-free frequency hopping (CFFH) system based on the OFDMA framework and...

    Authors: Leonard Lightfoot, Lei Zhang, Jian Ren and Tongtong Li
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:361063
  11. This paper proposes that secondary unlicensed users are allowed to opportunistically use the radio spectrum allocated to the primary licensed users, as long as they agree on facilitating the primary user commu...

    Authors: Lorenza Giupponi and Christian Ibars
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:905185