scholarly journals Cognitive Radio Communications for Vehicular Technology – Wavelet Applications

10.5772/14913 ◽  
2011 ◽  
Author(s):  
Murroni Maurizio ◽  
Popescu Vl
Keyword(s):  
Cognitive Radio ◽  
Radio Communications ◽  
Vehicular Technology ◽  
Wavelet Applications

scholarly journals IN SEARCH OF SUSTAINABLE BUSINESS MODELS FOR COGNITIVE RADIO EVOLUTION

2012 ◽  
Vol 18 (2) ◽  
pp. 230-247 ◽  
Author(s):  
Vladislav V. Fomin ◽  
Artūras Medeišis ◽  
Daiva Vitkutė-Adžgauskienė
Keyword(s):  
Cognitive Radio ◽  
Mobile Communications ◽  
Software Defined Radio ◽  
Business Models ◽  
Spectrum Access ◽  
New Paradigm ◽  
Sustainable Business ◽  
Radio Communications ◽  
Telecommunications Infrastructure ◽  
Radio Frequency Spectrum

In this paper we examine the emerging industry of Cognitive Radio/Software Defined Radio (CR/SDR), a sector which in some ways seconds the industry structure of the cellular mobile communications, while bearing distinctive characteristics. Any radio telecommunications infrastructure depends on scarce resources – radio frequency spectrum – that require policy decisions for allocation to specific countries and services. CR/SDR may constitute a new paradigm in radio communications as it may completely or partially eliminate the role of the regulator in minutiae of spectrum access authorization. In this paper, we review scarce literature on CR/SDR to analyze the relationships between political, technological and economic factors in order to identify drivers and barriers to the emergence of new techno-economic paradigm of CR/SDR. Our discussion of business opportunities for CR/SDR includes analysis of applicable spectrum access policies and identification of those of them, which would be most fertile for the development of future CR/SDR business.

scholarly journals Joint Relay Scheduling, Channel Access, and Power Allocation for Green Cognitive Radio Communications

2015 ◽  
Vol 33 (5) ◽  
pp. 922-932 ◽  
Author(s):  
Changqing Luo ◽  
Geyong Min ◽  
F. Richard Yu ◽  
Yan Zhang ◽  
Laurence T. Yang ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Channel Access ◽  
Radio Communications

scholarly journals Interference Alignment for Cognitive Radio Communications and Networks: A Survey

2019 ◽  
Vol 8 (4) ◽  
pp. 50 ◽  
Author(s):  
Yusuf Abdulkadir ◽  
Oluyomi Simpson ◽  
Yichuang Sun
Keyword(s):  
Cognitive Radio ◽  
Frequency Spectrum ◽  
Degrees Of Freedom ◽  
Signal To Noise Ratio ◽  
Interference Alignment ◽  
Radio Spectrum ◽  
High Signal ◽  
Radio Communications ◽  
Main Research ◽  
Transmission Strategy

Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.

scholarly journals Near-Optimal and Practical Jamming-Resistant Energy-Efficient Cognitive Radio Communications

2017 ◽  
Vol 12 (11) ◽  
pp. 2807-2822 ◽  
Author(s):  
Pan Zhou ◽  
Qian Wang ◽  
Wei Wang ◽  
Yuchong Hu ◽  
Dapeng Wu
Keyword(s):  
Cognitive Radio ◽  
Energy Efficient ◽  
Radio Communications

scholarly journals System Design for Opportunistic Spectrum Access Using Statistical Decision-Making and Coded-MAC

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Enrique Rodriguez-Colina ◽  
Ricardo Marcelín-Jiménez ◽  
Leonardo Palacios-Luengas ◽  
Michael Pascoe-Chalke
Keyword(s):  
Decision Making ◽  
Cognitive Radio ◽  
Fault Tolerance ◽  
Opportunistic Spectrum Access ◽  
Communication Process ◽  
Spectrum Access ◽  
Significant Information ◽  
Radio Communications ◽  
Rs Codes ◽  
Rs Code

Different mechanisms have been proposed to solve opportunistic spectrum access (OSA). In order to address spectrum management efficiently, these mechanisms can be divided into four main functionalities, spectrum sensing, decision-making, sharing, and mobility. These functionalities depend on the interpretation and adaptation of different parameters, for example, sensing and data interpretation for adaptive modulation, power adjustments, and changes regarding the range of frequency operation. For the decision-making function, a novel approach is proposed in which coding information is added to the establishment of the communication process thus assisting the medium access control (MAC). The presence of cognitive radio devices in the network coverage range can be controlled or coordinated by using specific redundancy codes. Hence, Reed Solomon (RS) code is used in this paper as part of the handshaking process to provide error correction. In addition, a redundancy strategy based on Rabin’s information dispersal algorithm (IDA) is presented to provide fault tolerance to the communication between cognitive radio devices. In this case, the information is divided into fragments dynamically, and each fragment is coded by an RS code and reassigned to a subset of recipients using alternate paths. This work shows how to optimize spectrum access based on IDA and RS codes to diversify channel occupation without losing significant information with several frequency hops presented in cognitive radio communications. The validations were executed in a discrete event simulator developed in Python. The proposed system for OSA was found to perform better than other approaches using pilot sequences. Our proposal, therefore, provides fault tolerance, to diversify channel occupation, and helps identify the presence of primary and secondary users when a common control channel (CCC) is implemented by the optimization of the spectrum use.

scholarly journals A Secure and Energy-Aware Approach For Cognitive Radio Communications

2020 ◽  
Vol 1 ◽  
pp. 900-915
Author(s):  
Haitham Khaled ◽  
Iftekhar Ahmad ◽  
Daryoush Habibi ◽  
Quoc Viet Phung
Keyword(s):  
Cognitive Radio ◽  
Energy Aware ◽  
Radio Communications
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