Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Nasser, Abbass; Hassan, Hussein Al Haj; Chaaya, Jad Abou; Mansour, Ali; Yao, Koffi Clément

doi:10.3390/s21072408

Cited by 109 publications

(53 citation statements)

References 206 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The CR technology already takes place in current networks, and is also envisaged as part of future ones. For example, since the Release 13 of the 3 rd Generation Partnership Project (3GPP) recommendations, the unlicensed operation for mobile communications implements the listen before talk (LBT) protocol, which is in fact a realization of spectrum sensing to protect Wireless Fidelity (WiFi) communications from Long Term Evolution (LTE) interference [6]. Recent works on 5G and beyond are also in ongoing development, considering cognitive physical layers for operation in licensed bands by means of DSA [7].…”

Section: Introductionmentioning

confidence: 99%

Influence of a Direct-Conversion Receiver Model on the Performance of Detectors for Spectrum Sensing

Guimarães¹,

Pereira

2021

JCIS

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Influence of a Direct-Conversion Receiver Model on the Performance of Detectors for Spectrum Sensing

Guimarães¹,

Pereira

2021

JCIS

View full text Add to dashboard Cite

“…In this work, we focused that artificial intelligence that will empower 6G in all forms, network management and composition, signal processing and physical layer, service-based communication, and data mining [24]. Researchers have started planning and envisioning the essential technologies Cell compaction is a primary enabler for accomplishing amplified network capacity [26]. 6G intentions at ultradense network distributions relating to multiple cells within a microcell.…”

Section: Background 6g Artificial Intelligence Cr Networkmentioning

confidence: 99%

Sixth Generation (6G) Cognitive Radio Network (CRN) Application, Requirements, Security Issues, and Key Challenges

Aslam

Zhang

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Recently, 5G installation has been started globally. Different capabilities are in the consistent procedure, like ultrareliability, mass connectivity, and specific low latency. Though, 5G is insufficient to meet all the necessities of the future technology in 2030 and so on. Next generation information and communication technology is playing an important role in attraction of researchers, industries, and technical people. With respect to 5G networks, sixth-generation (6G) CR networks are anticipated to familiarize innovative use cases and performance metrics, such as to offer worldwide coverage, cost efficiency, enhanced spectral, energy improved intelligence, and safety. To reach such requirements, upcoming 6G CRNs will trust novel empowering technologies. Innovative network architecture and transmission technologies and air interface are of excessive position, like multiple accesses, waveform design, multiantenna technologies, and channel coding schemes. (1) To content, the condition should be of worldwide coverage, there will be no limit on 6G to global CR communication networks that may require to be completed with broadcast networks, like satellite communication networks, therefore, attaining a sea integrated communication network. (2) The spectrums overall will be entirely travelled to the supplementary rise connection density data rates in optical frequency bands, millimeter wave (mmWave), sub-6 GHz, and terahertz (THz). (3) To see big datasets created because of tremendously varied CR communication networks, antenna rush, diverse communication scenarios, new provision necessities, wide bandwidth, and 6G CRNs will allow an innovative variety of intelligent applications with the assistance of big data and AI technologies. (4) Need to improve network security when deploying 6G technology in CR networks. 6G is decentralized, intended, intelligent innovative, and distributed network. In this article, we studied a survey of current developments and upcoming trends. We studied the predicted applications, possible technologies, and security issues for 6G CR network communication. We also discussed predicted future key challenges in 6G.

show abstract

“…Assuming imperfect synchronization is more realistic for the better realization and analysis of communication systems. However, as a first step we assume perfect time and frequency synchronization between all SUs for the sake of simplicity as in [60], [61].…”

Section: System and Adversary Modelmentioning

confidence: 99%

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Ibrahim¹,

Qureshi

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Cognitive Radio (CR) provides a promising solution to the spectrum scarcity problem in the dense wireless networks, where the sensing ability of cognitive users helps acquire knowledge of the environment. However, cognitive users are vulnerable to different types of attacks, due to its shared medium. In particular, Jamming is considered as one of the most challenging security threat in CR networks. In jamming, an attacker jams the communication by transmitting a high power noise signal in the vicinity of the targeted node. The jammer could be an intelligent entity that is capable of exploiting the dynamics of the environment. In this work, we provide a machine-learning-based anti-jamming technique for CR networks to avoid a hostile jammer, where both the jamming and anti-jamming processes are formulated based on the Markov game framework. In our framework, secondary users avoid the jammer by maximizing its payoff function using an online, model-free reinforcement learning technique called Q-learning. We consider a realistic mathematical model, where the channel conditions are time varying and differ from one sub-channel to another, as in practical scenarios. Simulation results show that our proposed approach outperforms existing approaches to combat jamming over a wide range of scenarios.

show abstract

Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

Cited by 109 publications

References 206 publications

Influence of a Direct-Conversion Receiver Model on the Performance of Detectors for Spectrum Sensing

Influence of a Direct-Conversion Receiver Model on the Performance of Detectors for Spectrum Sensing

Sixth Generation (6G) Cognitive Radio Network (CRN) Application, Requirements, Security Issues, and Key Challenges

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Contact Info

Product

Resources

About