Title | ||
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Optimal Linear Cooperation for Signal Classification in Cognitive Communication Networks. |
Abstract | ||
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Signal classification plays an important role in cognitive communication networks to identify and avoid interference. Contrary to traditional cooperative spectrum sensing based on binary hypothesis testing, we study a network of cognitive radios that jointly perform linear cooperation based signal classification via M-ary hypothesis testing. To maximize the probability of successful classification... |
Year | DOI | Venue |
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2020 | 10.1109/TWC.2020.2970714 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Testing,Sensors,Optimization,Wireless communication,Communication networks,OFDM,Multiaccess communication | Journal | 19 |
Issue | ISSN | Citations |
5 | 1536-1276 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuan Ma | 1 | 24 | 8.49 |
Zhi Quan | 2 | 1439 | 108.24 |
Dong Li | 3 | 144 | 19.76 |
Sha Zhang | 4 | 12 | 3.13 |
xiaofan li | 5 | 79 | 12.44 |
Feng, Zhiyong | 6 | 68 | 11.11 |
Zhiguo Ding | 7 | 7031 | 399.47 |