Energy Detection with different Digital Modulation Techniques over Rayleigh Fading Channels in Cognitive Radio Networks

被引:0
作者
Ahmed, Fareduddin J. S. [1 ]
Ujjinimatad, Rohitha [2 ]
机构
[1] Ballari Inst Technol & Management, Dept Elect & Commun, Ballari, India
[2] Proudhadeveraya Inst Technol, PDIT, Dept Elect & Commun, Hospete, India
来源
2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT) | 2017年
关键词
Cognitive Radio; Spectrum Sensing; Energy Detector; Rayleigh fading Channel;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The sensing of radio spectrum is an essential problem in cognitive radio(CR) networks, where secondary users (SUs) need to detect the presence of primary users (PUs) before they use the spectrum allocated to PUs. The detection of primary user status and the spectrum sensing are the major issues in cognitive radio systems. We employ one of the simplest and most efficient Spectrum Sensing technique, the Energy Detection(ED) with three different digital modulation techniques BPSK, QPSK, 16-QAM. In this paper, we analyze the performance of the Energy Detection technique with BPSK, QPSK, 16-QAM modulation techniques over Rayleigh fading Channel. Further, we analyze the performance and BER (Bit Error Rate) of ED under Rayleigh fading and A WGN channels. The investigation and analysis on Energy Detection with above digital modulation techniques can be utilized for future reference of spectrum sensing in the CR networks over AWGN and Rayleigh fading channels.
引用
收藏
页数:5
相关论文
共 11 条
[1]  
[Anonymous], 2014, 20 NATL C COMMUNICAT, DOI DOI 10.1109/NCC.2014.6811292
[2]  
Atapattu S., 2010, IEEE T WIREL COMMUN, V9
[3]  
Darawheh H.Y., 2014, INT J WIRELESS PERSO, V77
[4]   Cognitive radio: Brain-empowered wireless communications [J].
Haykin, S .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (02) :201-220
[5]  
Kalamkar SS, 2013, ASIA-PAC CONF COMMUN, P375, DOI 10.1109/APCC.2013.6765974
[6]  
Kolodzy P., 2002, FEDERAL COMMUN COMM
[7]   M-PSK and M-QAM BER computation using signal-space concepts [J].
Lu, JH ;
Letaief, KB ;
Chuang, JCI ;
Liou, ML .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1999, 47 (02) :181-184
[8]   Cognitive radio: Making software radios more personal [J].
Mitola, J ;
Maguire, GQ .
IEEE PERSONAL COMMUNICATIONS, 1999, 6 (04) :13-18
[9]  
Stuber G. L., 2002, Principles of Mobile Communication, V2nd
[10]   Spectrum sensing in cognitive radio networks with known and unknown noise levels [J].
Ujjinimatad, Rohitha ;
Patil, Siddarama R. .
IET COMMUNICATIONS, 2013, 7 (15) :1708-1714