Joint versus separate spectrum sensing and resource allocation in OFDMA-based cognitive radio networks

In this study, the authors investigate the resource allocation issue for sensing-based orthogonal frequency-division multiple access (OFDMA) cognitive radio networks. They consider a network consisting multiple secondary users (SUs) and a secondary base station (BS) implementing a two-phase protocol...

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Veröffentlicht in:	IET communications Jg. 10; H. 7; S. 839 - 847
Hauptverfasser:	Janatian, Nafiseh, Modarres-Hashemi, Mahmood, Sun, Sumei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 05.05.2016
Schlagworte:	bandwidth 1.25 MHz bandwidth 2.5 MHz bilevel optimisation problem channel allocation Cognitive radio cognitive radio network computational complexity cooperative communication Detection Energy conservation energy consumption frequency division multiple access joint optimisation method Mathematical models mixed binary integer programming problem Networks NP‐hard OFDM modulation OFDMA optimisation Optimization orthogonal frequency division multiple access protocols quality of service radio spectrum management Resource allocation secondary base station secondary user separate optimisation signal detection signal‐to‐noise ratio soft cooperative spectrum sensing SU sensing parameter subchannel assignment transmit power two‐phase protocol Uplinking secondary base station NP-hard bilevel optimisation problem optimisation resource allocation cognitive radio bandwidth 1.25 MHz mixed binary integer programming problem bandwidth 2.5 MHz joint optimisation method OFDM modulation OFDMA subchannel assignment protocols channel allocation energy consumption transmit power radio spectrum management signal detection frequency division multiple access orthogonal frequency division multiple access quality of service separate optimisation cooperative communication soft cooperative spectrum sensing secondary user signal-to-noise ratio SU sensing parameter two-phase protocol cognitive radio network computational complexity
ISSN:	1751-8628, 1751-8636
Online-Zugang:	Volltext
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