Motivated by the fact that wideband spectrum sensing is critical for reliably finding spectral opportunities and achieving opportunistic spectrum access for generation cellular networks, we made a brief survey of the state-of-the-art wideband spectrum sensing algorithms
Wideband spectrum sensing for cognitive radio networks: a survey
IEEE Wireless Commun., no. 2 (2013): 74-81
Cognitive radio has emerged as one of the most promising candidate solutions to improve spectrum utilization in next generation cellular networks. A crucial requirement for future cognitive radio networks is wideband spectrum sensing: secondary users reliably detect spectral opportunities across a wide frequency range. In this article, va...更多
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- Radio frequency (RF) spectrum is a valuable but tightly regulated resource due to its unique and important role in wireless communications
- New spectrum policies are being developed by the Federal Communications Commission (FCC) that will allow secondary users to opportunistically access a licensed band, when the primary user (PU) is absent
- Since cognitive radios are considered as secondary users for using the licensed spectrum, a crucial requirement of cognitive radio networks is that they must efficiently exploit under-utilized spectrum without causing harmful interference to the PUs
- While present narrowband spectrum sensing algorithms have focused on exploiting spectral opportunities over narrow frequency range, cognitive radio networks will eventually be required to exploit spectral opportunities over wide frequency range from hundreds of megahertz (MHz) to several gigahertz (GHz) for achieving higher opportunistic throughput
- OPEN RESEARCH CHALLENGES we identify the following research challenges that need to be addressed for implementing a feasible wideband spectrum sensing device for future cognitive radio networks
- Motivated by the fact that wideband spectrum sensing is critical for reliably finding spectral opportunities and achieving opportunistic spectrum access for generation cellular networks, we made a brief survey of the state-of-the-art wideband spectrum sensing algorithms
- Table1: SUMMARY OF ADVANTAGES AND DISADVANTAGES OF NARROWBAND SPECTRUM SENSING ALGORITHMS
- Table2: SUMMARY OF ADVANTAGES, DISADVANTAGES, AND CHALLENGES OF WIDEBAND SPECTRUM SENSING ALGORITHMS
- Nallanathan acknowledge the support of the UK Engineering and Physical Sciences Research Council (EPSRC) with Grant No EP/I000054/1
- Wang acknowledges the support from the RCUK for the UK-China Science Bridges Project: R&D on (B)4G Wireless Mobile Communications, the Key Laboratory of Cognitive Radio and Information Processing (Guilin University of Electronic Technology), Ministry of Education, China (Grant No.: 2011KF01), the Fundamental Research Program of Shenzhen City (Grant No JCYJ20120817163755061), and SNCS research center at University of Tabuk under the grant from the Ministry of Higher Education in Saudi Arabia
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- H. Sun, W.-Y. Chiu, J. Jiang, A. Nallanatahn, and H. V. Poor, “Wideband spectrum sensing with sub-Nyquist sampling in cognitive radios,” IEEE Trans. Signal Processing, vol. 60, no. 11, Nov. 2012, pp. 6068–6073. Hongjian Sun [S’07-M’11] (firstname.lastname@example.org) obtained Ph.D. degree at the University of Edinburgh, UK, where he also received Wolfson Microelectronics Scholarship, in 2010. He then joined King’s College London, UK, as a Postdoctoral Research Associate. In 2011-2012, he was a visiting Postdoctoral Research Associate at Princeton University, USA. His recent research interests include Cognitive Radio, Smart Grid, Cooperative Communication, and Compressive Sensing. He has made 1 contribution to the IEEE 1900.6a Standard, and published 1 book chapter and more than 40 papers in refereed journals and conferences.
- Arumugam Nallanathan [S’97-M’00-SM’05] (email@example.com) is currently a Reader in Communications and served as the Head of Graduate Studies in the School of Natural and Mathematical Sciences at King’s College London, London, U.K. From 2000 to 2007, he was an Assistant Professor in the Department of Electrical and Computer Engineering at the National University of Singapore, Singapore. His research interests include smart grid, cognitive radio, and relay networks. He has authored nearly 200 journal and conference papers. He is an Editor for IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters and IEEE Signal Processing Letters. He served as an Editor for IEEE Transactions on Wireless Communications (2006-2011).
- Cheng-Xiang Wang [S’01-M’05-SM’08] (Cheng-Xiang.Wang@hw.ac.uk) received his Ph.D. degree from Aalborg University, Denmark, in 2004. He joined Heriot-Watt University, U.K., as a lecturer in 2005 and became a professor in August 2011. His research interests include wireless channel modelling and simulation, cognitive radio networks, vehicular communication networks, Large MIMO, green communications, and beyond 4G. He served or is serving as an editor or guest editor for 11 international journals including IEEE Transactions on Vehicular Technology (2011-), IEEE Transactions on Wireless Communications (2007-2009), and IEEE Journal on Selected Areas in Communications. He has edited one book and published one book chapter and over 170 papers in journals and conferences.
- Yunfei Chen [S’02-M’06-SM’10] (Yunfei.Chen@warwick.ac.uk) received his B.E. and M.E. degrees in electronics engineering from Shanghai Jiaotong University, Shanghai, P.R.China, in 1998 and 2001, respectively. He received his Ph.D. degree from the University of Alberta in 2006. He is currently working as an Associate Professor at the University of Warwick, U.K. His research interests include wireless communications theory, cognitive radio, and relaying systems.