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      • Department of Electrical and Electronics Engineering
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      Power adaptation for cognitive radio systems under an average sinr loss constraint in the absence of path loss information

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      Author
      Dulek, B.
      Gezici, Sinan
      Sawai, R.
      Kimura, R.
      Date
      2014
      Source Title
      Wireless Personal Communications
      Print ISSN
      0929-6212
      Publisher
      Kluwer Academic Publishers
      Volume
      77
      Issue
      1
      Pages
      151 - 172
      Language
      English
      Type
      Article
      Item Usage Stats
      126
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      90
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      Abstract
      An upper bound is derived on the capacity of a cognitive radio system by considering the effects of path loss and log-normal shadowing simultaneously for a single-cell network. Assuming that the cognitive radio is informed only of the shadow fading between the secondary (cognitive) transmitter and primary receiver, the capacity is achieved via the water-filling power allocation strategy under an average primary signal to secondary interference plus noise ratio loss constraint. Contrary to the perfect channel state information requirement at the secondary system (SS), the transmit power control of the SS is accomplished in the absence of any path loss estimates. For this purpose, a method for estimating the instantaneous value of the shadow fading is also presented. A detailed analysis of the proposed power adaptation strategy is conducted through various numerical simulations.
      Keywords
      Capacity
      Cognitive radio
      Path loss
      Power control
      Shadowing
      Water-filling
      Cognitive radio
      Communication channels (information theory)
      Power control
      Capacity
      Path loss
      Perfect channel state information
      Secondary interference
      Shadowing
      Transmit power control
      Water-filling power allocations
      Waterfilling
      Radio systems
      Permalink
      http://hdl.handle.net/11693/26615
      Published Version (Please cite this version)
      http://dx.doi.org/10.1007/s11277-013-1499-8
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      • Department of Electrical and Electronics Engineering 3524
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