A Novel Dynamic Channel Access Scheme Using Overlap FFT Filter-Bank for Cognitive Radio

2009 ◽  
Vol E92-B (12) ◽  
pp. 3589-3596 ◽  
Author(s):  
Motohiro TANABE ◽  
Masahiro UMEHIRA ◽  
Koichi ISHIHARA ◽  
Yasushi TAKATORI
Keyword(s):  
Cognitive Radio ◽  
Filter Bank ◽  
Channel Access ◽  
Access Scheme ◽  
Dynamic Channel

An opportunistic channel access scheme for interweave cognitive radio systems

2014 ◽  
Vol 16 (1) ◽  
pp. 56-66 ◽  
Author(s):  
Sivasothy Senthuran ◽  
Alagan Anpalagan ◽  
Hyung Yun Kong ◽  
Ashok Karmokar ◽  
Olivia Das
Keyword(s):  
Cognitive Radio ◽  
Channel Access ◽  
Access Scheme ◽  
Cognitive Radio Systems ◽  
Opportunistic Channel Access ◽  
Radio Systems

scholarly journals Performance Optimization of the MIMO-OFDM Based Adaptive Cognitive Radio System using a Hybrid Channel Access Scheme

2020 ◽  
Vol 9 (4) ◽  
pp. 2570-2579
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Performance Optimization ◽  
Primary User ◽  
Channel Access ◽  
Radio System ◽  
Channel Detection ◽  
Access Scheme ◽  
Mimo Ofdm ◽  
Cr System

The cognitive radio is a promising candidate to resolve the issues created due to the spectrum scarcity in wireless communication. The main motive of CR technology is to create communication opportunities by sensing and learning from the external environment thereby improving the spectrum usage efficiency. The integration of the link adaptation, MIMO-OFDM with CR technology gives the utmost performance. In this treatise, we propose the hybrid channel access (interweave-underlay) scheme for the MIMO-OFDM based adaptive CR system. We have investigated the performance of the CR system under a hybrid channel access (interweave-underlay) scheme as well as underlay channel access scheme. We consider the binary stochastic model to reflect the primary user (PU) activities. The performance is evaluated with different channel detection probabilities under perfect as well as imperfect (false alarm) spectrum sensing environment. The result shows the significant improvement in the throughput of the system in proportion with the higher-quality channel detection probability with perfect spectrum sensing. This exploits the hybrid channel access scheme as one of the techniques to optimize the performance of the system. This signifies the importance of the optimum channel sensing and its selection in improving the performance of the system. To show the performance improvement of the CR system using hybrid channel access scheme we have compared it with the performance of the CR system based on the conventional underlay channel access scheme. The proposed scheme can be used to improve the performance of the entire CR network.

scholarly journals Age of Information and Success Probability Analysis in Hybrid Spectrum Access-Based Massive Cognitive Radio Networks

2021 ◽  
Vol 11 (4) ◽  
pp. 1940
Author(s):  
Samuel Okegbile ◽  
Bodhaswar Maharaj
Keyword(s):  
Cognitive Radio ◽  
Success Probability ◽  
Real Life ◽  
Control Technique ◽  
Channel Access ◽  
Spectrum Access ◽  
Secondary Users ◽  
Channel Sensing ◽  
Access Scheme ◽  
Age Of Information

In this paper, we investigate users’ performance under the hybrid spectrum access model in the massive cognitive radio network (CRN), where multiple primary users (PUs) and secondary users (SUs) transmit on the same channel simultaneously. SUs first detect the state of the channel via channel sensing and select an appropriate channel access scheme (either underlay or overlay) for their transmissions based on the outcome of the channel sensing. When at least one PU is active, SUs transmit under the underlay channel access scheme by employing the power control technique to ensure that the interference generated in the primary network is below the pre-defined interference threshold. In the absence of PU, SUs transmit with full transmit power under the overlay channel access scheme, thereby maximizing their throughput. Using the tool of stochastic geometry, we obtained tractable analyses for important metrics such as success probability, throughput, and the average age of information (AoI) in both primary and secondary networks, while capturing the interference between the two networks. The obtained analyses offer an efficient way to understand the metrics of AoI, throughput and success probability in the hybrid spectrum access-based CRN. We further compared users’ performance under the hybrid spectrum access scheme with performances under overlay and underlay spectrum access schemes. The outcome of the numerical simulations shows that the hybrid spectrum access scheme can significantly improve the performance of users in the network, while also capturing more key features of real-life systems.

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