The New Research of Spectrum Sensing Technology for Cognitive Radio

2014 ◽  
Vol 945-949 ◽  
pp. 2301-2305
Author(s):  
Yi Peng ◽  
Yan Jun Wang
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Communication Technology ◽  
Spectrum Sharing ◽  
Rapid Development ◽  
Current Model ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Sensing Technology

With the rapid development of wireless communication technology, the shortage of spectrum resources is becoming more and more serious, and may even become a bottleneck restricting of the development wireless communication technology in the future. Now, Spectrum sensing technology, spectrum sharing technology and spectrum management technology is the three core technologies of cognitive radio spectrum,and sensing technology is to implement the follow-up of spectrum sharing and the premise of spectrum management.So mainly to the current model of the cognitive radio spectrum sensing technology,to make a classification and comparison, finally it is concluded that cognitive users under the environment of higher signal-to-noise ratio, the better results of the perceived performance.

Basic Spectrum Sensing Techniques

2019 ◽  
pp. 70-84
Author(s):  
Bhuvaneswari P. T. V. ◽  
Bino J.
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Cognitive Radio Network ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Radio Network ◽  
Spectrum Band ◽  
Radio Systems ◽  
Networking Technology

Cognitive radio network (CRN) is an upcoming networking technology that can utilize both radio spectrum and wireless resources efficiently based on the information gathered from the past experience. There are two types of users in CRN, namely primary and secondary. PUs (PU) have the license to operate in certain spectrum band while the secondary (SU) or cognitive radio (CR) users do not have the license to operate in the desired band. However, they can opportunistically utilize the unused frequency bands. Spectrum sensing, spectrum management, spectrum sharing, and spectrum mobility are the four major functions of cognitive radio systems. The main objective of spectrum sensing is to provide better spectrum access to CR users, without causing any harmful interference to PUs. Sensing accuracy is considered as the most important factor to determine the performance of cognitive radio network. In this chapter, the challenges and requirement involved in spectrum sensing are detailed. Further, various spectrum sensing basic techniques are also discussed in detail.

The Cognitive Radio and Internet of Things

2020 ◽  
Vol 5 (8) ◽  
pp. 899-903
Author(s):  
Ammar Abdul-Hamed Khader ◽  
Zozan Azeez Ayoub
Keyword(s):  
Cognitive Radio ◽  
Internet Of Things ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Spectrum Management ◽  
Smart Technology

Cognitive Radio (CR) and Internet of Things (IoT) is an effective step into the smart technology world. Several frameworks are proposed to build CR and IoT. The phases of the interconnection between IoT and CR is; spectrum sensing, spectrum sharing, and spectrum management. This paper presents a survey of CR based IoT and mentions some previous works. It highlights with details the spectrum sensing stage for both narrowband and wideband.

TRUST-BASED SPECTRUM SHARING FOR COGNITIVE RADIO NETWORKS

2011 ◽  
Vol 12 (03) ◽  
pp. 155-171 ◽  
Author(s):  
SAZIA PARVIN ◽  
FAROOKH KHADEER HUSSAIN ◽  
SONG HAN ◽  
OMAR KHADEER HUSSAIN
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Spectrum Sharing ◽  
Stochastic Approach ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Radio Networks ◽  
Secondary Users ◽  
Reliable Technique ◽  
Free Spectrum

Cognitive Radio Networks (CRNs) is a promising technology which deals with shared spectrum access and usage in order to improve the utilization of limited radio spectrum resources for future wireless communications and mobile computing. Security becomes a very challenging issue in CRNs as different types of attacks are very common to cognitive radio technology compared to general wireless networks. The proper working of cognitive radio and the functionality of CRNs relies on the compliant behaviour of the secondary user. In order to address this issue, we propose two approaches in this paper. Firstly, we propose a trust aware model to authenticate the secondary users of CRNs which offers a reliable technique to provide a security-conscious decision by using trust evaluation for CRNs. Secondly, we propose an analytical model for analyzing the availability of spectrum in CRNs using a stochastic approach. We have modeled and analyzed the availability of free spectrum for the usage of secondary users by adopting different activities in a spectrum management scheme to improve the spectrum availability in CRNs.

scholarly journals Spectrum Sensing Techniques in Cognitive Radio Technology: A Review Paper

2020 ◽  
pp. 577-582
Author(s):  
Srinivas Samala ◽  
◽  
Subhashree Mishra ◽  
Sudhansu Sekhar Singh
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Rapid Growth ◽  
Review Paper ◽  
Radio Spectrum ◽  
Cognitive Technology ◽  
The Past ◽  
Radio Technology ◽  
Cognitive Radio Technology

Over the past decade, Rapid growth in the field of wireless communication has increased demand for spectrum resources and created a shortage of available radio spectrum. The cognitive radio technology is one of the promising technology to address the scarcity of spectrum resources, from the introduction of cognitive technology there is a lot of research is going on its spectrum sensing techniques, this paper aimed to provide an in-depth review on recent advances in spectrum sensing techniques and thoroughly presents the merit, demerits, and scope of further research of each spectrum sensing techniques. Finally, this review paper is presented to help new researchers and to make them familiar with concepts of spectrum sensing.

scholarly journals Cognitive Radio Spectrum Sensing Mechanisms in TV White Spaces: A Survey

2018 ◽  
Vol 8 (6) ◽  
pp. 3673-3680
Author(s):  
K. Kimani ◽  
M. Njiraine
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Limited Resource ◽  
Radio Spectrum ◽  
Spectrum Utilization ◽  
Transmission Parameters ◽  
Wireless Users ◽  
Radio Technology ◽  
Cognitive Radio Technology

Frequency spectrum is a limited resource and the increasing demand caused by emerging services, augmented number of wireless users along with the demand for high-quality multimedia applications have resulted in the overcrowding of the allocated spectrum bands. The overcrowding of spectrum bands has exacerbated by the current spectrum licensing policy which has emerged as a bottleneck to efficient spectrum utilization, due to its inflexibility, resulting in most of the licensed spectrum being severely under-utilized. However, the problem of scarcity of spectrum bands and the inefficient utilization of the already allocated radio spectrum can be smartly addressed through spectrum sharing by enabling opportunistic usage of the underutilized frequency bands. One of the most exciting ways of spectrum sharing is cognitive radio technology which allows a wireless node to sense the environment, detect the network changes, and then make intelligent decisions by dynamically changing its reception or transmission parameters to communicate while ensuring that no interference is affected to the licensed users. It thus improves the spectrum utilization by reusing the unused or underutilized spectrum owned by the incumbent systems (primary systems). In this paper, a comprehensive survey and review of recent research about the advances in cognitive radio technology will be carried out. We will also evaluate the various spectrum sensing techniques in a cognitive radio network in the UHF/VHF bands allocated for TV broadcasting.

Sensing Techniques for Next Generation Cognitive Radio Networks

2019 ◽  
pp. 108-124
Author(s):  
Dhaya R. ◽  
Rajeswari A. ◽  
Kanthavel R.
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Spectrum Sharing ◽  
Spectrum Management ◽  
Radio Networks ◽  
Maximum Throughput ◽  
Spectrum Mobility ◽  
Static Allocation ◽  
Spectrum Holes

Cognitive radio is the technology used to solve the problem of spectrum underutilization by performing spectrum sensing, spectrum management, spectrum sharing, and spectrum mobility. The primary goal of cognitive radio is open spectrum sharing. Spectrum is a scarce and valuable natural resource that has to be used very effectively. The static allocation of spectrum to the licensed users will lead to wastage of resources when the spectrum is unused by the licensed user. Spectrum sensing methodology helps in detecting the spectrum holes and enables the unlicensed users to access the unused bands in the licensed spectrum effectively without interfering the licensed users. Cognitive thinking takes wireless communication to the next level by sensing the electromagnetic environment and dynamically adjusts its operating parameters in order to achieve maximum throughput, mitigate interference, facilitate interoperability, etc. The chapter presents the basics of cognitive radio networks, its architecture, its application, and advantages of cognitive radio networks.

Research of Spectrum Detecting Technology on Cognitive Radio

2013 ◽  
Vol 433-435 ◽  
pp. 911-914
Author(s):  
Hong Yan Mao
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Cooperative Spectrum Sensing ◽  
Detection Method ◽  
Radio Spectrum ◽  
Spectrum Utilization ◽  
Transmission Parameters ◽  
Spectrum Detection

Cognitive radio (CR) is an intelligent spectrum sharing technology. It can improve the spectrum utilization by sensing spectrum environment, learning intelligently and adjusting the transmission parameters. The discussion is focused on spectrum detecting technology in cognitive radio. Spectrum detecting algorithms are analyzed and compared .The centralized cooperative spectrum detection method, distributed cooperative spectrum sensing method and relay cooperative spectrum detection method are analyzed also.

Study of Cognitive Radio Spectrum Sensing Algorithm Based on Compressed Sensing

2014 ◽  
Vol 602-605 ◽  
pp. 3639-3642 ◽  
Author(s):  
Chua Nan Cui
Keyword(s):  
Signal Processing ◽  
Cognitive Radio ◽  
Compressed Sensing ◽  
Spectrum Sensing ◽  
Basic Principle ◽  
Radio Spectrum ◽  
Research Results ◽  
Innovative Research ◽  
Sensing Technology ◽  
Key Technologies

As the latest progress in modern signal processing, Compressed Sensing (CS) has great potential for application in the field of cognitive radio and other fields. In this paper, the basic principle of compressed sensing technology and its application in cognitive radio spectrum perception key technologies are studied, achieving innovative research results. Spectrum sensing technology in cognitive radio

Advanced Cognitive Radio-Enabled Spectrum Management

2015 ◽  
pp. 478-497 ◽  
Author(s):  
Chungang Yang ◽  
Jiandong Li
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Spectrum Utilization ◽  
Dynamic Spectrum Sharing ◽  
Research Problems ◽  
Radio Technology ◽  
Management Schemes ◽  
Networking Technologies

The growing demands of radio spectrum urgently require more efficient and effective spectrum exploitation and management technologies. Cognitive radio technology and its networking not only explores the potential white spectrum resources temporally and geographically, but also enables an extensive efficient utilization and optimization of the current allocated spectrum resources. Therefore, rapid progress has been made in the research on cognitive radio and its networking technologies to facilitate more flexibilities in spectrum utilization and management. In this chapter, the authors first summarize the current various advanced and flexible spectrum management schemes, including spectrum trading, leasing, pricing, and harvesting, and analyze their advantages and disadvantages. Then, they take the viewpoints of both the spectrum marketing perspective and spectrum technical perspective, and they propose the centralized and distributed dynamic spectrum sharing schemes, respectively. In particular, the authors introduce many novel advanced spectrum sharing scheme and summarize the open and possible research problems.

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