Browse > Article

Control Signal Transmission Scheme Using OFDM PTS Embedded Side Information in Cognitive Radio System  

Jeong, Bong-Min (인하대학교 정보통신대학원 정보통신공학과)
Sohn, Sung-Hwan (인하대학교 정보통신대학원)
Jang, Sung-Jeen (인하대학교 정보통신대학원)
Kim, Jae-Moung (인하대학교 정보통신대학원)
Publication Information
Journal of Internet Computing and Services / v.12, no.2, 2011 , pp. 75-83 More about this Journal
Abstract
Wireless services and devices that use frequency increase more and more because of advancement of the industry. Therefore, the available spectrum band becomes increasingly insufficient. Cognitive Radio, which adaptively utilizes the vacant licensed spectrum band, is considered as an effective way to utilize the spectrum resource shortage. CR user should move from current allocated channel to vacant channel to avoid the interference to the primary user when the primary user appears in the current channel. In this case, CR system undergoes the break off time until handshake is completed. So, in order to guarantee the Quality of Service(QoS) of CR system, fast handshake method is required. In this paper, we propose the embedded control signal transmission technique to reduce the break off time. This method can transmit the control signals in data transmission period as well as the broadcasting period. Proposed method can improve the data throughput and decrease the break off time. Computer based simulation proves that our proposed scheme outperforms conventional one.
Keywords
Cognitive Radio; Embedded Side Information; Handshake; Break-off time; Cognitive Radio; Embedded Side Information; Handshake; Break-off time;
Citations & Related Records
연도 인용수 순위
  • Reference
1 L. J. Cimini Jr., N. R. Sollenberger, "Peak-to- Average Power Radio Reduction of an OFDM Signal Using Partial Transmit Sequences With Embedded Side Information", GLOBECOM '00. IEEE, vol.2, pp.746-750, Nov. 2000.
2 J. Mitola, "Cognitive Radio: Making software radios more personal," IEEE Pers. Commun., Vol.6, No.4, pp.13-18, Aug. 1999.   DOI   ScienceOn
3 J. Mitola, "Cognitive Radio: An integrated Agent Architecture for Software Defined Radio", Ph.D thesis, Royal Institute of Technology (KTH) and Sweden
4 D. Maldonado, B. Le, A. Hugine, T. W. Rondeau, and C. W. Bostian, "Cognirive radio applications to dynamic spectrum allocation", Proc. IEEE Int. Symp. New Frontiers on Dynamic Spectrum Access, pp.597-600, Nov. 2005.
5 D. Cablic, S. Mishra, "Implementation issues in spectrum sensing for cognitive radios", in Proc. Asilomar Conf. On Signals, Systems and Computers, Vol.1, pp.772-776, Nov. 2004.
6 L. J. Cimini, Jr., N. R. Sollenberger, "Peak-to Average Power Radio Reduction of an OFDM Signal Using Partial Transmit Sequences", IEEE Comm. Letters, Vol.4, No.3, pp.86-88, Mar. 2000.
7 FCC, "Facilitation Opportunities for Flexible, Efficient, and Reliable spectrum use employing Cognitive Radio Technologies", Notice of Proposed Rule Making, ET Docket No.03-332, Dec. 2003.
8 M. A. McHenry, "NSF Spectrum Occupancy Measurements Project Summary", Shared Spectrum Company, Aug. 2005.
9 Simon Haykin, "Cognitive Radio : brainempowered wireless communications", IEEE J. Commun. Mag., Vol.23, No.2, Feb. 2005.
10 FCC, "Spectrum Policy Task Force Report", ET Docket No.02-155, Nov. 2002