Cited By
View all- Qiu RHu ZLi HWicks M(2012)ReferencesCognitive Radio Communications and Networking10.1002/9781118376270.refs(453-510)Online publication date: 23-Aug-2012
Spectrum sensing for cognitive OFDM system using free probability theory
Authors: 
Lei Wang, Baoyu Zheng, Jingwu Cui, Sulan Tang, Haie DouAuthors Info & Claims
Lei Wang, Baoyu Zheng, Jingwu Cui, Sulan Tang, Haie DouAuthors Info & ClaimsPages 575 - 579
Abstract
Free probability theory, which has became a main branch of random matrix theory, is a valuable tool for describing the asymptotic behavior of multiple systems, especially for large random matrices. In this paper, using free probability theory, a new spectrum sensing scheme for cognitive OFDM system is proposed, which shows how asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radios. Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance and lower power need compared with the energy detection technique even for the case of a small sample of observations.
References
[1]
Ansi/ieee standard 802.11, 2003.
[2]
L. S. Cardoso, M. Debbah, and P. Bianchi. Cooperative spectrum sensing using random matrix theory. In ISWPC, pages 334--338, Santorini, May 2008.
[3]
R. Couillet and M. Debbah. Cognitive ofdm network sensing: a free probability approach. arXiv:0811.0731v2, Nov. 2008.
[4]
Ø. Ryan and M. Debbah. Free deconvolution for signal processing applications. IEEE Trans. Inform. Theory, 1:569--571, Nov. 2007.
[5]
A. M. Tulino and S. Verdu. Random Matrix Theory and Wireless Communications. Now Publishers Inc., Hanover, USA, 2004.
[6]
D. Voiculescu. Addition of certain non-commuting random variables. J. Funct. Anal., 66:323--335, Jan. 1986.
[7]
L. Wang, B. Zheng, J. Cui, S. Tang, and H. Dou. Cooperative spectrum sensing using free probability theory. In GLOBECOM, Hawaii, America, Nov. 2009.
[8]
L. Wang, B. Zheng, Q. Meng, and C. Chen. Spectrum sensing for multiuser network based on free probability theory. IEICE Trans. Commun., E93-B, Jan. 2010.
[9]
L. Wang and B. Y. Zheng. Spectrum sensing based on random matrix theory. In IEEE Communication Society Nanjing Chapter, the Workshop on Cognitive Wireless Networks Proceedings, pages 100--200, Nanjing, China, Sept. 2008.
[10]
Y. Zeng and Y. C. Liang. Maximum minimum eigenvalue detection for cognitive radio. In The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pages 1--5, Athens, Sept. 2007.
Index Terms
- Spectrum sensing for cognitive OFDM system using free probability theory
Recommendations
Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff
Cognitive Radio, Software Defined Radio And Adaptive Wireless SystemsOpportunistic unlicensed access to the (temporarily) unused frequency bands across the licensed radio spectrum is currently being investigated as a means to mitigate the spectrum scarcity. Such opportunistic access calls for the implementation of ...
An Adaptive Multitaper-SVD Spectrum Sensing Method for OFDM-Based Cognitive Radio Systems
Cognitive radio (CR) has been proposed and widely investigated as an approach for increasing the spectrum efficiency. CR devices exploit so called white spaces in the spectrum allocated to the primary users (PU) by a process commonly referred to as the ...
Group-based management for cooperative spectrum sensing in cognitive radio networks
ICACT'10: Proceedings of the 12th international conference on Advanced communication technologyIn cognitive radio networks, secondary users can opportunistically utilize the unused spectrum holes that are originally licensed to primary users. Therefore, spectrum sensing for seeking unutilized spectrum is a key element to establish cognitive radio ...
Comments
Information & Contributors
Information
Published In
June 2010
1371 pages
ISBN:9781450300629
DOI:10.1145/1815396
- General Chairs:
- Ahmed Helmy,
- Peter Mueller,
- Program Chair:
- Yan Zhang
Copyright © 2010 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- Computer and Information Society
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 June 2010
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Conference
IWCMC '10
Sponsor:
IWCMC '10: 2010 International Wireless Communications and Mobile Computing Conference
June 28 - July 2, 2010
Caen, France
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 164Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)1
Reflects downloads up to 14 Sep 2024
Other Metrics
Citations
Cited By
View all- Qiu RHu ZLi HWicks M(2012)ReferencesCognitive Radio Communications and Networking10.1002/9781118376270.refs(453-510)Online publication date: 23-Aug-2012
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in