2016
DOI: 10.1002/ett.3100
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Efficient signal detection for cognitive radio relay networks under imperfect channel estimation

Abstract: Assuming imperfect channel knowledge at the destination, we propose an improved detector for an underlay cognitive (secondary) amplify‐and‐forward wireless relay network coexisting with a primary transmission system. At first, we adjust the amplify‐and‐forward relay amplification factors by taking into account the interference temperature constraint at the primary receiver. In a second step, for the case of coherent distributed space‐time coding at the relays and maximum a posteriori signal detection at the de… Show more

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Cited by 4 publications
(2 citation statements)
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References 24 publications
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“…The main reason for this issue is that all subsets of an item set are alternating. Accordingly, the presence of a large alternative item set in the transaction database can lead to an exponential growth of the number of alternative item sets (in the number of subsets of the large item set) in the transaction database [ 18 ]. Furthermore, finding related information and knowledge with data mining approaches among several users is time-consuming and even disappointing [ 19 ]; it is one of the most important challenges in social networks.…”
Section: Introductionmentioning
confidence: 99%
“…The main reason for this issue is that all subsets of an item set are alternating. Accordingly, the presence of a large alternative item set in the transaction database can lead to an exponential growth of the number of alternative item sets (in the number of subsets of the large item set) in the transaction database [ 18 ]. Furthermore, finding related information and knowledge with data mining approaches among several users is time-consuming and even disappointing [ 19 ]; it is one of the most important challenges in social networks.…”
Section: Introductionmentioning
confidence: 99%
“…Subsequent to the publication of this article, the authors wish to add the following Acknowledgement section:…”
mentioning
confidence: 99%