Resource-Efficient Fusion with Pre-Compensated Transmissions for Cooperative Spectrum Sensing

被引:4
作者
Guimaraes, Dayan Adionel [1 ]
Aquino, Guilherme Pedro [1 ]
Cattaneo, Marco E. G. V. [2 ]
机构
[1] Natl Inst Telecommun Inatel, BR-37540000 Santa Rita Do Sapucai, Brazil
[2] Univ Hull, Kingston Upon Hull HU6 7RX, N Humberside, England
来源
SENSORS | 2015年 / 15卷 / 05期
关键词
cognitive radio; cooperative spectrum sensing; decision fusion; channel inversion; crest factor; clipping; COGNITIVE RADIO;
D O I
10.3390/s150510891
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Recently, a novel fusion scheme for cooperative spectrum sensing was proposed for saving resources in the control channel. Secondary users (SUs) simultaneously report their decisions using binary modulations with the same carrier frequencies. The transmitted symbols add incoherently at the fusion centre (FC), leading to a larger set of symbols in which a subset is associated with the presence of the primary user (PU) signal, and another subset is associated with the absence of such a signal. The decision criterion applied for discriminating these subsets works under the assumption that the channel gains are known at the FC. In this paper, we propose a new simultaneous transmission and decision scheme in which the task of channel estimation is shifted from the FC to the SUs, without the need for feeding-back of the estimates to the FC. The estimates are used at the SUs to pre-compensate for the reporting channel phase rotations and to partially compensate for the channel gains. This partial compensation is the result of signal clipping for peak-to-average power ratio (PAPR) control. We show, analytically and with simulations, that this new scheme can produce large performance improvements, yet reduces the implementation complexity when compared with the original one.
引用
收藏
页码:10891 / 10908
页数:18
相关论文
共 24 条
[1]   Cooperative spectrum sensing in cognitive radio networks: A survey [J].
Akyildiz, Ian F. ;
Lo, Brandon F. ;
Balakrishnan, Ravikumar .
PHYSICAL COMMUNICATION, 2011, 4 (01) :40-62
[2]   An Objection-Based Collaborative Spectrum Sensing for Cognitive Radio Networks [J].
Althunibat, Saud ;
Granelli, Fabrizio .
IEEE COMMUNICATIONS LETTERS, 2014, 18 (08) :1291-1294
[3]  
Althunibat S, 2013, IEEE INT WORKSH COMP, P28, DOI 10.1109/CAMAD.2013.6708083
[4]  
Bing Wang, 2014, 2014 16th International Conference on Advanced Communication Technology (ICACT), P244, DOI 10.1109/ICACT.2014.6778933
[5]  
Boyd S., 2004, CONVEX OPTIMIZATION, VFirst, DOI DOI 10.1017/CBO9780511804441
[6]  
Gaofeng N., 2012, P 2012 IEEE 75 VEH T, P1
[7]   Efficient method for reducing the average control bits in a distributed cooperative sensing in cognitive radio system [J].
Ghaznavi, Mahsa ;
Jamshidi, Azizollah .
IET COMMUNICATIONS, 2013, 7 (09) :867-874
[8]  
Guimaraes D.A., 2015, P 2015 6 C INT WORKS
[9]  
Guimaraes D.A., 2009, SIGNALS COMMUN TECHN
[10]   Resource-Efficient Fusion over Fading and Non-Fading Reporting Channels for Cooperative Spectrum Sensing [J].
Guimaraes, Dayan Adionel ;
Aquino, Guilherme Pedro .
SENSORS, 2015, 15 (01) :1861-1884