Special Issue "Cognitive Radio: Use the Spectrum in a More Efficient Way"

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A special issue of Electronics (ISSN 2079-9292).

Deadline for manuscript submissions: closed (30 November 2014)

Special Issue Editors

Guest Editor
Dr. Sanqing Hu

Stevens Institute of Technology, Hoboken, NJ 07030, USA
E-Mail
Interests: cognitive radio; MAC protocols; cellular networks; machine learning
Guest Editor
Prof. Dr. Lian Zhao

Electrical and Computer Engineering Department, Ryerson University, 350 Victoria St., Toronto, Canada M5B 2K3
Website | E-Mail
Interests: wireless communications, radio resource management for complicated systems; cooperative and cognitive systems; green communication and smart grid technologies; cross-layer resource optimization
Guest Editor
Dr. Nazanin Rahnavard

Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA
Website | E-Mail
Interests: cognitive radio networks; wireless ad-hoc and sensor networks; compressive sensing: new designs and applications; modern channel coding techniques and their applications

Special Issue Information

Dear Colleagues,

The emergence and development of new wireless communication systems leads to a significant increase in the demand for radio resources, resulting in a spectrum shortage. Meanwhile, according to the Federal Communications Commission records, a large portion of the spectrum resources allocated to licensed network users are underutilized. Cognitive radio (CR) is a promising technology to mitigate the spectrum scarcity issue because it helps wireless communication systems to utilize the spectrum in a dynamic and more efficient way. In the CR paradigm, cognitive radio users are allowed to access the frequency bands that have been allocated to licensed network users but are not used at a particular time. Therefore, the cognitive radio users should have the ability to locate and utilize the unused frequency bands, and meanwhile be aware of the existence of the licensed users when they are occupying the spectrum. Currently, there are still a lot of technical as well as economic challenges that need to be addressed before the full deployment of cognitive radio.

This Special Issue is intended to present novel and high-quality research papers and reviews in the field of cognitive radio.

Dr. Sanqing Hu
Dr. Lian Zhao
Dr. Nazanin Rahnavard
Guest Editors

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed Open Access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. For the first couple of issues the Article Processing Charge (APC) will be waived for well-prepared manuscripts. English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.

Keywords

  • spectrum sensing and measurements
  • medium access control design for cognitive radio networks
  • physical layer design of cognitive radio networks
  • artificial intelligence and machine learning for cognitive radio networks
  • MIMO, OFDM in cognitive radio
  • resource allocation, game theory in cognitive radio
  • dynamic spectrum access
  • cognitive radio in cellular networks
  • spectrum sharing, mobility management, QoS
  • cross-layer design for cognitive radio networks
  • cognitive radio network security
  • DSP for cognitive radio
  • standards and testbed
  • compressive sensing for cognitive radio networks

Published Papers (5 papers)

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Research

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Open AccessArticle Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio
Electronics 2015, 4(2), 221-238; doi:10.3390/electronics4020221
Received: 23 November 2014 / Revised: 14 March 2015 / Accepted: 16 March 2015 / Published: 26 March 2015
Cited by 3 | PDF Full-text (2003 KB) | HTML Full-text | XML Full-text
Abstract
We propose the data mining-informed cognitive radio, which uses non-traditional data sources and data-mining techniques for decision making and improving the performance of a wireless network. To date, the application of information other than wireless channel data in cognitive radios has not been
[...] Read more.
We propose the data mining-informed cognitive radio, which uses non-traditional data sources and data-mining techniques for decision making and improving the performance of a wireless network. To date, the application of information other than wireless channel data in cognitive radios has not been significantly studied. We use a novel dataset (Twitter traffic) as an indicator of network load in a wireless channel. Using this dataset, we present and test a series of predictive algorithms that show an improvement in wireless channel utilization over traditional collision-detection algorithms. Our results demonstrate the viability of using these novel datasets to inform and create more efficient cognitive radio networks. Full article
(This article belongs to the Special Issue Cognitive Radio: Use the Spectrum in a More Efficient Way)
Open AccessArticle Kronecker-Based Fusion Rule for Cooperative Spectrum Sensingwith Multi-Antenna Receivers
Electronics 2014, 3(4), 675-688; doi:10.3390/electronics3040675
Received: 20 August 2014 / Revised: 10 November 2014 / Accepted: 13 November 2014 / Published: 10 December 2014
PDF Full-text (388 KB) | HTML Full-text | XML Full-text
Abstract
This paper considers a novel fusion rule for spectrum sensing scheme for a cognitive radio network with multi-antenna receivers. The proposed scheme exploits the fact that when any primary signal is present, measurements are spatially correlated due to presence of inter-antenna and inter-receiver
[...] Read more.
This paper considers a novel fusion rule for spectrum sensing scheme for a cognitive radio network with multi-antenna receivers. The proposed scheme exploits the fact that when any primary signal is present, measurements are spatially correlated due to presence of inter-antenna and inter-receiver spatial correlation. In order to exploit this spatial structure, the generalized likelihood ratio test (GLRT) operates with the determinant of the sample covariance matrix. Therefore, it depends on the sample size N and the dimensionality of the received data (i.e., the number of receivers K and antennas L). However, when the dimensionality fK; Lg is on the order, or larger than the sample size N, the GLRT degenerates due to the ill-conditioning of the sample covariance matrix. In order to circumvent this issue, we propose two techniques that exploit the inner spatial structure of the received observations by using single pair and multi-pairs Kronecker products. The performance of the proposed detectors is evaluated by means of numerical simulations, showing important advantages with respect to the traditional (i.e., unstructured) GLRT approach. Full article
(This article belongs to the Special Issue Cognitive Radio: Use the Spectrum in a More Efficient Way)
Open AccessArticle Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels
Electronics 2014, 3(3), 553-563; doi:10.3390/electronics3030553
Received: 27 May 2014 / Revised: 3 September 2014 / Accepted: 12 September 2014 / Published: 23 September 2014
Cited by 2 | PDF Full-text (281 KB) | HTML Full-text | XML Full-text
Abstract
Accurate detection of white spaces is crucial in cognitive radio networks. Initial investigations show that the accurate detection in a multiple primary users environment is challenging, especially under severe multipath conditions. Among many techniques, recently proposed eigenvalue-based detectors that use random matrix theories
[...] Read more.
Accurate detection of white spaces is crucial in cognitive radio networks. Initial investigations show that the accurate detection in a multiple primary users environment is challenging, especially under severe multipath conditions. Among many techniques, recently proposed eigenvalue-based detectors that use random matrix theories to eliminate the need of prior knowledge of the signals proved to be a solid approach. In this work, we study the effect of Rayleigh multipath fading channels on spectrum sensing in a multiple primary user environment for a pre-proposed detector called the spherical detector using the eigenvalue approach. Simulation results show interesting outcomes. Full article
(This article belongs to the Special Issue Cognitive Radio: Use the Spectrum in a More Efficient Way)
Figures

Open AccessArticle Optimal Power Allocation for MIMO-MAC in Cognitive Radio Networks
Electronics 2014, 3(3), 538-552; doi:10.3390/electronics3030538
Received: 15 May 2014 / Revised: 12 August 2014 / Accepted: 12 August 2014 / Published: 12 September 2014
PDF Full-text (121 KB) | HTML Full-text | XML Full-text
Abstract
This paper considers a cognitive radio (CR) network, in which the unlicensed (secondary) users (SUs) are allowed to concurrently access the spectrum allocated to the licensed (primary) users, provided that the interference of SUs with the primary users (PUs) satisfies certain constraints. It
[...] Read more.
This paper considers a cognitive radio (CR) network, in which the unlicensed (secondary) users (SUs) are allowed to concurrently access the spectrum allocated to the licensed (primary) users, provided that the interference of SUs with the primary users (PUs) satisfies certain constraints. It is more general and owns a stronger challenge to ensure the quality of service (QoS) of PUs, as well as to maximize the sum-rate of SUs. On the other hand, the multiple-antenna mobile user case has not been well investigated for the target problem in the open literature. We refer to this setting as multiple input multiple output multiple access channels (MIMO-MAC) in the CR network. Subject to the interference constraints of SUs and the peak power constraints of SUs, the sum-rate maximization problem is solved. To efficiently maximize the achievable sum-rate of SUs, a tight pair of upper and lower bounds, as an interval, of the optimal Lagrange multiplier is proposed. It can avoid ineffectiveness or inefficiency when the dual decomposition is used. Furthermore, a novel water-filling-like algorithm is proposed for the inner loop computation of the proposed problem. It is shown that this algorithm used in the inner loop computation can obtain the exact solution with a few finite computations, to avoid one more loop, which would be embedded in the inner loop. In addition, the proposed approach overcomes the limitation of Hermitian matrices, as optimization variables. This limitation to the optimization problem in several complex variables has not been well investigated so far. As a result, our analysis and results are solidly extended to the field of complex numbers, which are more compatible with practical communication systems. Full article
(This article belongs to the Special Issue Cognitive Radio: Use the Spectrum in a More Efficient Way)

Review

Jump to: Research

Open AccessReview Multicarrier Spread Spectrum Modulation Schemes and Efficient FFT Algorithms for Cognitive Radio Systems
Electronics 2014, 3(3), 419-443; doi:10.3390/electronics3030419
Received: 17 May 2014 / Revised: 2 July 2014 / Accepted: 4 July 2014 / Published: 17 July 2014
PDF Full-text (382 KB) | HTML Full-text | XML Full-text
Abstract
Spread spectrum (SS) and multicarrier modulation (MCM) techniques are recognized as potential candidates for the design of underlay and interweave cognitive radio (CR) systems, respectively. Direct Sequence Code Division Multiple Access (DS-CDMA) is a spread spectrum technique generally used in underlay CR systems.
[...] Read more.
Spread spectrum (SS) and multicarrier modulation (MCM) techniques are recognized as potential candidates for the design of underlay and interweave cognitive radio (CR) systems, respectively. Direct Sequence Code Division Multiple Access (DS-CDMA) is a spread spectrum technique generally used in underlay CR systems. Orthogonal Frequency Division Multiplexing (OFDM) is the basic MCM technique, primarily used in interweave CR systems. There are other MCM schemes derived from OFDM technique, like Non-Contiguous OFDM, Spread OFDM, and OFDM-OQAM, which are more suitable for CR systems. Multicarrier Spread Spectrum Modulation (MCSSM) schemes like MC-CDMA, MC-DS-CDMA and SS-MC-CDMA, combine DS-CDMA and OFDM techniques in order to improve the CR system performance and adaptability. This article gives a detailed survey of the various spread spectrum and multicarrier modulation schemes proposed in the literature. Fast Fourier Transform (FFT) plays a vital role in all the multicarrier modulation techniques. The FFT part of the modem can be used for spectrum sensing. The performance of the FFT operator plays a crucial role in the overall performance of the system. Since the cognitive radio is an adaptive system, the FFT operator must also be adaptive for various input/output values, in order to save energy and time taken for execution. This article also includes the various efficient FFT algorithms proposed in the literature, which are suitable for CR systems. Full article
(This article belongs to the Special Issue Cognitive Radio: Use the Spectrum in a More Efficient Way)

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.


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