Relevant bibliographies by topics / Wireless communication systems Cognitive radio networks

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Wireless communication systems Cognitive radio networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Wireless communication systems Cognitive radio networks"

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Lang, Wei Min, Yuan Cheng Zhu, and Hu Sheng Li. "A Multi-Layer Security Architecture for Wireless Cognitive Sensor Networks in Smart Grids." Advanced Materials Research 546-547 (July 2012): 1107–12. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1107.

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Wireless sensor networks have been extensively deployed in the electric power systems for sensing, transmission and control, which provide more opportunities for wireless low power radios to operate. As the next generation electricity system, the smart grid should possess the capability to transmit reliable and real-time information to the control centers of the utilities. In order to solve the issues such as heterogeneous coexistence, spectrum scarcity, tremendous data processing and Security guarantees, revolutionary communication architecture is urgently demanded. In this paper, after analyzing the hierarchical structure of smart grid and illustrating the principle of WCSN in smart grids, we propose the security architecture of wireless sensor networks based on cognitive radio for smart grids, which can be used as a reference to design and develop the Wireless Cognitive Sensor Network (WCSN) security schemes in the electric power systems.
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Romaszko, Sylwia, and Petri Mähönen. "Quorum Systems towards an Asynchronous Communication in Cognitive Radio Networks." Journal of Electrical and Computer Engineering 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/753541.

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This paper reviews quorum systems (QS) from the perspective of cognitive radio networks. Quorum systems were originally developed for and widely used in the scope of operating systems. Recently, quorum systems have been also started to be applied to wireless communications. The objective of this paper is threefold. First, the paper provides survey and guidance on the use of quorum systems. Second, it shows that QS properties provide an interesting alternative towards an asynchronous communication in cognitive radio ad hoc networks (CRANs). Due to properties of quorum systems it is possible to establish CRANs without employing a common control channel (CCC), perfect synchronization, or central controller architecture. QS properties can be efficiently utilized to handle the rendezvous (RDV) problem in CRANs. New RDV protocols must be designed in such a way that there is a guarantee that all nodes meet periodically within reasonable periods of time. Since pseudorandom solutions do not provide this guarantee, systematic approaches are needed such as QSs. Third, we also propose a novel distributed RDV protocol, MtQS-DSrdv, which is based on mirror torus QS and difference set concepts. The proposed protocol guarantees RDVs on all available channels while CR nodes have the same channel set.
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Yadav, Ramnaresh, Keshav Singh, and Ashwani Kumar. "Optimal Power Allocation for Achieving Secure Green Cognitive Radio Networks." Electronics 11, no. 13 (June 22, 2022): 1952. http://dx.doi.org/10.3390/electronics11131952.

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In cognitive radio networks, wireless nodes adapt to the surrounding radio environment and utilize the spectrum of licensed users. The cognitive radio environment is dynamic, and wireless channels are accessible by both legitimate and illegitimate users. Therefore, maintaining the security of cognitive radio networks is a challenging task, which must be addressed thoroughly. Further, with the recent exponential surge in wireless nodes and associated high data rate requirements, energy consumption is also growing at an unprecedented rate. Hence, energy efficiency becomes an important metric that must be considered in the design of future wireless networks. Accordingly, by considering the great ecological and economic benefits of green wireless networks, this work focus on energy-efficient resource allocation in secure cognitive radio networks. Since physical-layer security is an emerging technique that improves the security of communication devices, in this paper, an ergodic secure energy efficiency problem for a cognitive radio network is formulated with a primary user, a secondary user, and an eavesdropper. As the formulated problem is non-convex, a concave lower bound is applied to transform the original non-convex problem into a convex one. Further, by adopting the fractional programming and dual decomposition techniques, optimal power allocation strategies are obtained with the aim of maximizing the ergodic secure energy efficiency of the secondary user with constraints on the average interference power and average transmit power. Numerical examples are used to demonstrate the effectiveness of the proposed algorithm.
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Kumar, A. Narendra. "Low Error Rate Data Transmission in Cognitive Radio Networks." JOURNAL OF ADVANCES IN CHEMISTRY 13, no. 10 (March 4, 2017): 5899–904. http://dx.doi.org/10.24297/jac.v13i10.5832.

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Cognitive Radio (CR) has become a hopeful technology to enhance the spectrum utilization through spectrum sharing between licensed user (primary user) and unlicensed user (secondary user). An vital rule mandated for the development of such frameworks are to develop solutions that don’t require any changes to the existing primary user (PU) infrastructure. An Orthogonal Frequency Division Multiplexing (OFDM) is typically worn advancements in present wireless communication systems which has the possibility of fulfilling the demand for cognitive radios intrinsically or with slight changes. In this paper, Space time block codes is used. The various antennas used on both ends for trustworthy data broadcast and interference nulling schemes. These codes can accomplish full broadcast diversification determined via the number of broadcast antennas. The MIMO is worn for enhancing the power of a wireless link, to determine the issue for lower BER and achieve a superior performance.
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Yılmaz, Mustafa Harun, Ertuğrul Güvenkaya, Haji M. Furqan, Selçuk Köse, and Hüseyin Arslan. "Cognitive Security of Wireless Communication Systems in the Physical Layer." Wireless Communications and Mobile Computing 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/3592792.

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While the wireless communication systems provide the means of connectivity nearly everywhere and all the time, communication security requires more attention. Even though current efforts provide solutions to specific problems under given circumstances, these methods are neither adaptive nor flexible enough to provide security under the dynamic conditions which make the security breaches an important concern. In this paper, a cognitive security (CS) concept for wireless communication systems in the physical layer is proposed with the aim of providing a comprehensive solution to wireless security problems. The proposed method will enable the comprehensive security to ensure a robust and reliable communication in the existence of adversaries by providing adaptive security solutions in the communication systems by exploiting the physical layer security from different perspective. The adaptiveness relies on the fact that radio adapts its propagation characteristics to satisfy secure communication based on specific conditions which are given as user density, application specific adaptation, and location within CS concept. Thus, instead of providing any type of new security mechanism, it is proposed that radio can take the necessary precautions based on these conditions before the attacks occur. Various access scenarios are investigated to enable the CS while considering these conditions.
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Molokomme, Daisy Nkele, Chabalala S. Chabalala, and Pitshou N. Bokoro. "A Review of Cognitive Radio Smart Grid Communication Infrastructure Systems." Energies 13, no. 12 (June 23, 2020): 3245. http://dx.doi.org/10.3390/en13123245.

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The cognitive smart grid (SG) communication paradigm aims to mitigate quality of service (QoS) issues in obsolete communication architecture associated with the conventional electrical grid. This paradigm entails the integration of advanced information and communication technologies (ICTs) into power grids, enabling a two-way flow of information. However, due to the exponential increase in wireless applications and services, also driven by the deployment of the Internet of Things (IoT) smart devices, SG communication systems are expected to handle large volumes of data. As a result, the operation of SG networks is confronted with the major challenge of managing and processing data in a reliable and secure manner. The existing works in the literature proposed architectures with the objective to mitigate the underlying QoS issues such as latency, bandwidth, data congestion, energy efficiency, etc. In addition, a variety of communication technologies have been analyzed for their capacity to support stringent QoS requirements for diverse SGs environments. This notwithstanding, a standard architecture designed to mitigate the aforementioned issues for SG networks remains a work-in-progress. The main objective of this paper is to investigate the emerging technologies such as cognitive radio networks (CRNs) as part of the Fifth-Generation (5G) mobile technology for reliable communication in SG networks. Furthermore, a hybrid architecture based on the combination of fog computing and cloud computing is proposed. In this architecture, real-time latency-sensitive information is given high priority, with fog edge based servers deployed in close proximity to home area networks (HANs) for preprocessing and analyzing of information collected from smart IoT devices. In comparison to the recent works in the literature, which are mainly based on CRNs and 5G separately, the proposed architecture in this paper incorporates the combination of CRNs and 5G for reliable and efficient communication in SG networks.
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Chen, Hsing-Chung, Marsha Violetta, Chien-Erh Weng, and Tzu-Liang Kung. "Cognitive RBAC in mobile heterogeneous networks." Computer Science and Information Systems 10, no. 2 (2013): 779–806. http://dx.doi.org/10.2298/csis121110034c.

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In communication networks, a cognitive network (CN) is a new type of data network which is used to solve some of the problems that face current networks. Cognitive radio (CR) is part of a cognitive network and a smart wireless communication system. CR is conscious of its surrounding environment, and learns from the environment. It adapts its internal states by making corresponding real-time changes in certain operating parameters. In this paper, we propose a novel Cognitive RBAC (Role-Based Access Control) scheme which can be applied to Mobile Heterogeneous Networks (MHNs). The MHNs consist of mobile communication systems and Wi-Fi systems. The required new definitions for the RBAC model are proposed in this paper. They can improve the ability of conventional RBAC model to meet new challenges. In our scheme, we assume that a Cognitive Server (CS) provides and manages the permissions of services, and Network Providers support and manage a variety CRs and CNs, individually. For more efficiently managing CR and CN and meeting the large scale heterogeneous networks, we let mobile user can perceive network candidate actively to access services, in which the permissions are depending to the contract made by CS with each Network Provider. In this paper, the new generalized cognitive RBAC model and their definitions are proposed, and could be applied to new applications in a MHNs environment.
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Bhatt, Ruby, Edeh Michael Onyema, Khalid K. Almuzaini, Celestine Iwendi, Shahab S. Band, Tripti Sharma, and Amir Mosavi. "Assessment of Dynamic Swarm Heterogeneous Clustering in Cognitive Radio Sensor Networks." Wireless Communications and Mobile Computing 2022 (June 23, 2022): 1–15. http://dx.doi.org/10.1155/2022/7359210.

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Many optimization algorithms have been created to determine the most energy-efficient transmission mode, allowing for lower power consumption during transmission over shorter distances while minimising interference from primary users (PUs). The improved cooperative clustering algorithm (ICCA) performs superior spectrum sensing across groups of multiusers compared to any other method currently available in terms of sensing inaccuracy, power savings, and convergence time than any other method currently available. The proposed ICCA algorithm is employed in this research study to find the optimal numbers of clusters based on its connectivity and the most energy-efficient distributed cluster-based sensing technique available. In this research, many randomly chosen secondary users (SUs) and primary users (PUs) are investigated for potential implementation opportunities. Therefore, as compared to the current optimization strategies, the proposed ICCA algorithm enhanced the convergence speed by integrating the multiuser clustered communication into a single communication channel. Experimental results revealed that the new ICCA algorithm reduced node power by 9.646 percent compared to traditional ways when comparing the novel algorithm to conventional approaches. In a similar vein, as compared to the prior methodologies, the ICCA algorithm reduced the average node power of SUs by 24.23 percent on average. When the SNR is decreased to values below 2 dB, the likelihood of detection improves dramatically, as seen in the figure. ICCA has a low false alarm rate when matched to other optimization algorithms for direct detection, and the proposed method outperforms them all. Following the findings of the simulations, the proposed ICCA technique effectively addresses multimodal optimization difficulties and optimizes network capacity performance in wireless networks. A detailed discussion of SS applications for the IoT and wireless sensor networks, both based on CR, is provided. There is also a thorough discussion of the most recent advancements in spectrum sensing as a facility. IoT or WSN may be essential in feeding the CR networks with spectrum sensing data and the future of spectrum sensing. The use of CR for fifth generation and afar its potential application in frequency allocation are discussed. To stay up with the advancement of communication technology, SS should give additional features to remain competitive, like the capacity to investigate various available channels and accessible places for transmission. Based on present and prospective methods in wireless communications, we highlight the crucial upcoming study paths and difficulty spots in signal processing for cognitive radio and potential solutions (SS-CR).
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Biswas, Abhijit, and Dushyanta Dutta. "Interference Cancellation and Efficient Channel Allocation for Primary and Secondary Users Using Hybrid Cognitive (M2M) Mac Routing Protocol." International Journal of Information Security and Privacy 16, no. 2 (April 1, 2022): 1–18. http://dx.doi.org/10.4018/ijisp.308311.

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It is projected that communication among cognitive machine-to-machine (M2M) in smart grid networks is necessary and vital in forthcoming years. The objective of this paper is to bring out the significance of cognitive medium access control (MAC) protocol focusing on the distinctive characteristics of the devices in M2M and requirements of the smart grid communication. Therefore, developing a cognitive radio system which supports dynamic access to the spectrum available that is recently considered as a novel solution for extending wireless systems. In this paper, MAC layer sensing approaches in cognitive radio networks are investigated by considering both proactive and reactive sensing. To evaluate the performance, analytical modeling and simulation studies are carried out by comparing with state of art methods. As a result, the proposed HCM2M-MACachieves 687.3 kbps of blocking probability, 368.6kbps of dropping probability, 96.4% bandwidth utilization, 67.3% end to end delay and 89.3% of throughput.
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Kumar Vaigandla, Karthik, Thippani Mounika, Uzma Urooj, Nilofar Azmi, and RadhaKrishna Karne. "INVESTIGATION ON COGNITIVE RADIO NETWORKS: INTRODUCTION, SPECTRUM SENSING, IEEE STANDARDS, CHALLENGES, APPLICATIONS." International Journal of Engineering Applied Sciences and Technology 6, no. 9 (January 1, 2022): 91–103. http://dx.doi.org/10.33564/ijeast.2022.v06i09.011.

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During the last decade, Cognitive Radio (CR) has become a popular research topic. The availability of radio spectrum is in shortage, and CR technology can solve the problem by enabling dynamic spectrum access. This innovative technology has been used to manage the radio spectrum since it was introduced. These developments have led to rapid advances in this research field. A review of recent advances in Spectrum Sensing (SS) is presented in this paper, from its origins to its present state. A CR network has been found to be a highly effective and intelligent technology. Frequency spectrum is a bounded natural resource and an essential component of wireless communication networks. We explored CR in this paper and its various phases. Different definitions of CR are then presented from various institutions. Many different types of communications systems use CR techniques. It is anticipated that they will improve commercial and military data services, as well as increase the use of underutilized radio frequencies. In this paper, CR standards have been discussed, as well as its applications in various areas.
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Dissertations / Theses on the topic "Wireless communication systems Cognitive radio networks"

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Yu, Lu. "Rendezvous for cognitive radio networks." HKBU Institutional Repository, 2015. https://repository.hkbu.edu.hk/etd_oa/214.

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With the traditional static spectrum management, a significant portion of the licensed spectrum is underutilized in most of time while the unlicensed spectrum is over-crowded due to the growing demand for wireless radio spectrum from exponential growth of various wireless devices. Dynamic Spectrum Access utilizes the wireless spectrum in a more intelligent and flexible way. Cognitive radios are a promising enabler for Dynamic Spectrum Access because they can sense and access the idle channels. With cognitive radios, the unlicensed users (SUs) can opportunistically identify and access the vacant portions of the spectrum of the licensed users (PUs). In cognitive radio networks (CRNs), multiple idle channels may be available to SUs. If two or more SUs want to communicate with each other, they must select a channel which is available to all of them. The process of two or more SUs to meet and establish a link on a commonly-available channel is known as rendezvous. 1) Multiple Radios for Fast Rendezvous in CRNs: The existing works on rendezvous implicitly assume that each cognitive user is equipped with one radio (i.e., one wireless transceiver). As the cost of wireless transceivers is dropping, this feature can be exploited to significantly improve the rendezvous performance at low cost. We investigate the rendezvous problem in CRNs where cognitive users are equipped with multiple radios and different users may have different numbers of radios. We first study how the existing rendezvous algorithms can be generalized to use multiple radios for faster rendezvous. We then propose a new rendezvous algorithm, called role-based parallel sequence (RPS), which specifically exploits multiple radios for more efficient rendezvous. Our basic idea is to let the cognitive users stay in a specific channel in one dedicated radio and hop on the available channels with parallel sequences in the remaining general radios. We prove that RPS provides guaranteed rendezvous (i.e., rendezvous can be completed within a finite time) and derive the upper bounds on the maximum time-to-rendezvous (TTR) and the expected TTR. The simulation results show that i) multiple radios can cost-effectively improve the rendezvous performance, and ii) the proposed RPS algorithm performs better than the ones generalized from the existing algorithms. 2) Efficient Channel-Hopping Rendezvous Algorithm Based on Available Channel Set: All the existing rendezvous algorithms that provide guaranteed rendezvous (i.e., rendezvous can be achieved within finite time) generate channel-hopping (CH) sequences based on the whole channel set. However, some channels may be unavailable (e.g., being used by the licensed users) and these existing algorithms would randomly replace the unavailable channels by the available ones in the CH sequence. This random replacement is not effective, especially when the number of unavailable channels is large. We design a new rendezvous algorithm, called Interleaved Sequences based on Available Channel set (ISAC), that attempts rendezvous on the available channels only for faster rendezvous. ISAC constructs an odd subsequence and an even subsequence and interleaves these two subsequences to compose a CH sequence. We prove that ISAC provides guaranteed rendezvous. We derive the upper bounds on the maximum time-to-rendezvous to be O(
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Chowdhury, Kaushik Roy. "Communication protocols for wireless cognitive radio ad-hoc networks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29757.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Akyildiz, Ian; Committee Member: Ingram, Mary Ann; Committee Member: Blough, Douglas; Committee Member: Dovrolis, Konstantinos; Committee Member: Li, Ye. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Almalfouh, Sami M. "Interference-aware resource management techniques for cognitive radio networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43736.

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The objective of the proposed research is to develop interference-aware resource management techniques for CR networks that opportunistically operate within the licensed primary networks spectrum and to investigate the application of such CR techniques to emerging wireless networks. In this thesis, we report on a set of laboratory experiments that we undertook to analyze the interference between the CR-based wireless regional-area network (WRAN) standard and the digital television (DTV) broadcasting system. We determined the tolerable levels of WRAN interference into DTV receivers and studied the effect of these interference levels on WRAN deployment. Based on the need for efficient utilization of the primary network spectrum, we propose efficient interference-aware radio resource allocation (RRA) techniques for orthogonal frequency-division multiple access (OFDMA) CR networks. These RRA techniques aim to maximize the CR network throughput and to keep the CR interference to the primary network at or below a predefined threshold, known as the "interference temperature" limit. Moreover, we propose a joint spectrum-sensing design and power control algorithm that lead to increased CR network throughput and efficient protection of the PUs from undue interference. Interference coordination (IC) is considered a key technique for capacity maximization in emerging heterogeneous wireless networks. We propose a CR-based IC and RRA algorithm for OFDMA femtocell deployments to achieve efficient spectrum utilization and maximum network throughput. CR is envisioned as a key enabling technology for future wireless networks; our novel CR techniques will provide other researchers useful tools to design such networks.
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Alizadeh, Ardalan. "Cognitive Communications for Emerging Wireless Systems." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1470226402.

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Bondan, Lucas. "Kitsune : a management system for advanced radio networks based on cognitive functions." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/95078.

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Considerando a atual subutilização do espectro de rádio frequências para comunicação sem fio, o rádio cognitivo é visto como um conceito chave para permitir uma melhoria da utilização deste recurso de comunicação. A implementação de dispositivos de rádio cognitivo deve basear-se nas quatro principais funções cognitivas: sensoriamento espectral, decisão espectral, compartilhamento espectral e mobilidade espectral. Através dessas funções, um dispositivo de rádio cognitivo é capaz de procurar canais livres para transmitir de forma oportunista em uma rede de rádios cognitivos. No entanto, as redes de rádios cognitivos devem ser gerenciadas, com o objetivo de garantir seu pleno funcionamento, melhorando o desempenho destes dispositivos. Este gerenciamento deve melhorar o conhecimento do administrador sobre o funcionamento da rede. Assim, a configuração, o monitoramento e a visualização das funções cognitivas são fundamentais para o processo de aprendizagem contínua do administrador de rede. Neste trabalho, propõe-se Kitsune, um sistema de gerenciamento com base em um modelo hierárquico que permite gerenciar as informações sobre as funções cognitivas em redes de rádios cognitivos. Kitsune é projetado para gerenciar todas as quatro funções cognitivas, permitindo que o administrador da rede possa configurar os dispositivos de rádio cognitivo, monitorar os resultados de cada função cognitiva e analisar importantes visualizações destes resultados. Além disso, um protótipo de Kitsune foi desenvolvido e avaliado por meio de um cenário experimental baseado na norma IEEE 802.22. O resultado obtido mostra que Kitsune fornece ao administrador um melhor conhecimento sobre a rede, melhorando a taxa de transferência média para cada canal.
Considering the current underutilization of radio frequency spectrum for wireless communication, the Cognitive Radio is seen as a key concept to enable the improvement of the radio frequency spectrum utilization. The implementation of cognitive radio devices must be based on the four main cognitive functions: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility. Through these functions, a cognitive radio device is able to search for vacant channels to opportunistically transmit in a cognitive radio network. However, cognitive radio networks should be managed, aiming to guaranty the proper operation of the cognitive radio devices, improving the performance of these devices. This management should improve the administrator knowledge about the cognitive radio network operation. Therefore, the configuration, monitoring and visualization of the cognitive functions are fundamental to the continuous knowledge building process of the network administrator. In this paper we propose Kitsune, a management system based on a hierarchical model allowing to manage summarized information about cognitive functions in radio networks. Kitsune is designed to manage all four cognitive functions, enabling the network administrator to configure the cognitive radio devices, monitor the results of each cognitive function, and make important visualizations of these results. Moreover, a Kitsune prototype was developed and evaluated through an experimental IEEE 802.22 scenario. The result obtained show that Kitsune allows the administrator to achieve a better knowledge about the network and improve the average throughput for each channel.
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Panahandeh, Ali. "Multi-polarized sensing for cognitive radio." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209586.

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In this thesis the multi-polarized Cognitive Radios are studied. Cognitive Radios are proposed as an interesting way to more efficiently use the frequency resources. A Cognitive Radio secondary user finds the frequency bands which are not utilized by primary users and communicates on them without interfering with the primary users. In order to achieve this goal the secondary user must be able to detect reliably and quickly the presence of a primary user in a frequency band. In this thesis, the impact of polarization on the spectrum sensing performances of cognitive radio systems is studied.

First the depolarization occurring in the wireless channel is studied for two cognitive radio scenarios. This is done through an extensive measurement campaign in two outdoor-to-indoor and indoor-to-indoor scenarios where the parameters characterizing the radiowaves polarization are characterized at three different spatial scales: small-scale variation, large-scale variation and distance variation.

Second, a new approach is proposed in modeling of multi-polarized channels. The polarization of received fields is characterized from an electromagnetic point of view by modeling the polarization ellipse. Theoretical formulations are proposed in order to obtain the parameters characterizing the polarization ellipse based on the signals received on three cross-polarized antennas. A system-based statistical model of the time-dynamics of polarization is proposed based on an indoor-to-indoor measurement campaign. The analytical formulations needed in order to project the polarization ellipse onto a polarized multi-antenna system are given and it is shown how the model can be generated.

Third, the impact of polarization on the spectrum sensing performances of energy detection method is presented and its importance is highlighted. The performance of spectrum sensing with multi-polarized antennas is compared with unipolar single and multi-antenna systems. This analysis is based on an analytical formulation applied to the results obtained from the multi-polarized measurement campaign. The detection probability as a function of distance between the primary transmitter and the secondary terminal and the inter-antenna correlation effect on the spectrum sensing performance are studied.

An important limitation of energy detector is its dependence on the knowledge of the noise variance. An uncertainty on the estimation of the noise variance considerably affects the performance of energy detector. This limitation is resolved by proposing new multi-polarized spectrum sensing methods which do not require any knowledge neither on the primary signal nor on the noise variance. These methods, referred to as “Blind spectrum sensing methods”, are based on the use of three cross-polarized antennas at the secondary terminal. Based on an analytical formulation and the results obtained from the measurement campaign, the performances of the proposed methods are compared with each-other and with the energy detection method. The effect of antenna orientation on the spectrum sensing performance of the proposed methods and the energy detection method is studied using the proposed elliptical polarization model.


Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

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James, Andrew Michael. "A link-quality-aware graph model for cognitive radio network routing topology management /." Online version of thesis, 2007. http://hdl.handle.net/1850/5209.

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Portelinha, Junior Francisco Martins. "Avaliação do desempenho de redes de rádios cognitivos em ambientes com desvanecimento = Performance evaluation of cognitive radio networks in fading environments." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259708.

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Orientador: Paulo Cardieri
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-23T00:54:10Z (GMT). No. of bitstreams: 1 PortelinhaJunior_FranciscoMartins_M.pdf: 4882382 bytes, checksum: 67d5a95185e69cf6513dec95cddbbb2e (MD5) Previous issue date: 2012
Resumo: O resumo poderá ser visualizado no texto completo da tese digital
Abstract: The abstract is available with the full electronic document
Mestrado
Telecomunicações e Telemática
Mestre em Engenharia Elétrica
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Alotaibi, Faisal T. "Distributed space-time block coding in cooperative relay networks with application in cognitive radio." Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/10965.

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Spatial diversity is an effective technique to combat the effects of severe fading in wireless environments. Recently, cooperative communications has emerged as an attractive communications paradigm that can introduce a new form of spatial diversity which is known as cooperative diversity, that can enhance system reliability without sacrificing the scarce bandwidth resource or consuming more transmit power. It enables single-antenna terminals in a wireless relay network to share their antennas to form a virtual antenna array on the basis of their distributed locations. As such, the same diversity gains as in multi-input multi-output systems can be achieved without requiring multiple-antenna terminals. In this thesis, a new approach to cooperative communications via distributed extended orthogonal space-time block coding (D-EO-STBC) based on limited partial feedback is proposed for cooperative relay networks with three and four relay nodes and then generalized for an arbitrary number of relay nodes. This scheme can achieve full cooperative diversity and full transmission rate in addition to array gain, and it has certain properties that make it alluring for practical systems such as orthogonality, flexibility, low computational complexity and decoding delay, and high robustness to node failure. Versions of the closed-loop D-EO-STBC scheme based on cooperative orthogonal frequency division multiplexing type transmission are also proposed for both flat and frequency-selective fading channels which can overcome imperfect synchronization in the network. As such, this proposed technique can effectively cope with the effects of fading and timing errors. Moreover, to increase the end-to-end data rate, this scheme is extended for two-way relay networks through a three-time slot framework. On the other hand, to substantially reduce the feedback channel overhead, limited feedback approaches based on parameter quantization are proposed. In particular, an optimal one-bit partial feedback approach is proposed for the generalized D-O-STBC scheme to maximize the array gain. To further enhance the end-to-end bit error rate performance of the cooperative relay system, a relay selection scheme based on D-EO-STBC is then proposed. Finally, to highlight the utility of the proposed D-EO-STBC scheme, an application to cognitive radio is studied.
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Brahma, Swastik Kumar. "Spectrum sharing and service pricing in dynamic spectrum access networks." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4854.

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Traditionally, radio spectrum has been statically allocated to wireless service providers (WSPs). Regulators, like FCC, give wireless service providers exclusive long term licenses for using specific range of frequencies in particular geographic areas. Moreover, restrictions are imposed on the technologies to be used and the services to be provided. The lack of flexibility in static spectrum allocation constrains the ability to make use of new technologies and the ability to redeploy the spectrum to higher valued uses, thereby resulting in inefficient spectrum utilization (23, 38, 42, 62, 67). These limitations have motivated a paradigm shift from static spectrum allocation towards a more 'liberalized' notion of spectrum management in which secondary users can borrow idle spectrum from primary spectrum licensees, without causing harmful interference to the latter- a notion commonly referred to as dynamic spectrum access (DSA) or open spectrum access (3), (82). Cognitive radio (30, 47), empowered by Software Defined Radio (SDR) (81), is poised to promote the efficient use of spectrum by adopting this open spectrum approach. In this dissertation, we first address the problem of dynamic channel (spectrum) access by a set of cognitive radio enabled nodes, where each node acting in a selfish manner tries to access and use as many channels as possible, subject to the interference constraints. We model the dynamic channel access problem as a modified Rubinstein-Stahl bargaining game. In our model, each node negotiates with the other nodes to obtain an agreeable sharing rule of the available channels, such that, no two interfering nodes use the same channel. We solve the bargaining game by finding Subgame Perfect Nash Equilibrium (SPNE) strategies of the nodes. First, we consider finite horizon version of the bargaining game and investigate its SPNE strategies that allow each node to maximize its utility against the other nodes (opponents).; We then extend these results to the infinite horizon bargaining game. Furthermore, we identify Pareto optimal equilibria of the game for improving spectrum utilization. The bargaining solution ensures that no node is starved of channels. The spectrum that a secondary node acquires comes to it at a cost. Thus it becomes important to study the 'end system' perspective of such a cost, by focusing on its implications. Specifically, we consider the problem of incentivizing nodes to provide the service of routing using the acquired spectrum. In this problem, each secondary node having a certain capacity incurs a cost for routing traffic through it. Secondary nodes will not have an incentive to relay traffic unless they are compensated for the costs they incur in forwarding traffic. We propose a path auction scheme in which each secondary node announces its cost and capacity to the routing mechanism, both of which are considered as private information known only to the node. We design a route selection mechanism and a pricing function that can induce nodes to reveal their cost and capacity honestly (making our auction truthful), while minimizing the payment that needs to be given to the nodes (making our auction optimal). By considering capacity constraint of the nodes, we explicitly support multiple path routing. For deploying our path auction based routing mechanism in DSA networks, we provide polynomial time algorithms to find the optimal route over which traffic should be routed and to compute the payment that each node should receive. All our proposed algorithms have been evaluated via extensive simulation experiments. These results help to validate our design philosophy and also illustrate the effectiveness of our solution approach.
ID: 030422691; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 161-166).
Ph.D.
Doctorate
Electrical Engineering and Computer Science
Engineering and Computer Science
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Books on the topic "Wireless communication systems Cognitive radio networks"

1

Essentials of cognitive radio. Cambridge: Cambridge University Press, 2009.

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1971-, Mahmoud Qusay H., ed. Cognitive networks: Towards self-aware networks. Chichester, England: John Wiley & Sons Ltd., 2007.

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Dusit, Niyato, and Han Zhu 1974-, eds. Dynamic spectrum access and management in cognitive radio networks. Cambridge: Cambridge University Press, 2009.

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Software and cognitive radio engineering. London: ISTE, 2011.

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Marshall, Preston. Quantitative analysis of cognitive radio and network performance. Norwood, Mass: Artech House, 2010.

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Meghanathan, Natarajan, and Yenumula B. Reddy. Cognitive radio technology applications for wireless and mobile ad hoc networks. Hershey, PA: Information Science Reference, 2013.

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Chatzimisios, Periklis, Thomas Lagkas, Panagiotis Sarigiannidis, and Malamati Louta. Evolution of cognitive networks and self-adaptive communication systems. Hershey, PA: Information Science Reference, 2013.

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Venkataraman, Hrishikesh. Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks. Dordrecht: Springer Netherlands, 2012.

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Beibei, Wang, ed. Cognitive radio networking and security: A game-theoretic view. Cambridge: Cambridge University Press, 2010.

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Perre, Liesbet van der. Green software defined radios: Enabling seamless connectivity while saving on hardware and energy. [Dordrecht]: Springer, 2009.

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Book chapters on the topic "Wireless communication systems Cognitive radio networks"

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Hefnawi, Mostafa. "Multiuser MIMO Cognitive Radio Systems." In Cognitive Radio, Mobile Communications and Wireless Networks, 259–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91002-4_11.

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Sun, Songlin, Na Chen, Junshi Xiao, and Tao Tian. "A Stackelberg Game Spectrum Sharing Scheme in Cognitive Radio-Based Heterogeneous Wireless Sensor Networks." In Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems, 255–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49831-6_26.

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Kristensen, Jesper M., and Frank H. P. Fitzek. "Cellular Controlled P2P Communication Using Software Defined Radio." In Cognitive Wireless Networks, 435–55. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5979-7_22.

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Sankararajan, Radha, Hemalatha Rajendran, and Aasha Nandhini Sukumaran. "Compressive Spectrum Sensing for Cognitive Radio Networks." In Compressive Sensing for Wireless Communication, 291–327. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337652-8.

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Bajpai, Rahul, Ronak Soni, Naveen Gupta, and Abhishek Kumar. "A Full-Duplex Multicarrier Cooperative Device-to-Device Communications System with MMSE Based RSI Cancellation." In Cognitive Radio Oriented Wireless Networks and Wireless Internet, 128–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98002-3_9.

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Aguilar-Gonzalez, Rafael, and Victor Ramos. "Spectrum Decision Mechanisms in Cognitive Radio Networks." In Emerging Wireless Communication and Network Technologies, 271–96. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0396-8_14.

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da Silva, Alex P., Leonardo S. Cardoso, Vicente A. de Souza, and Francisco R. P. Cavalcanti. "Common Radio Resource Management for Multiaccess Wireless Networks." In Optimizing Wireless Communication Systems, 233–65. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0155-2_6.

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Bedeer, Ebrahim, Osama Amin, Octavia A. Dobre, and Mohamed H. Ahmed. "Energy-Aware Cognitive Radio Systems." In Energy Management in Wireless Cellular and Ad-hoc Networks, 247–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27568-0_11.

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Rehmani, Mubashir Husain. "Cognitive Radio Networks and Blockchain." In Blockchain Systems and Communication Networks: From Concepts to Implementation, 107–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71788-9_6.

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Zhao, Yanxiao, Min Song, and ChunSheng Xin. "FMAC for Coexisting Ad Hoc Cognitive Radio Networks." In Wireless Algorithms, Systems, and Applications, 391–401. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39701-1_32.

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Conference papers on the topic "Wireless communication systems Cognitive radio networks"

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Das, Avirup, and Nabanita Das. "Cooperative Cognitive Radio for Wireless Opportunistic Networks." In 2019 11th International Conference on Communication Systems & Networks (COMSNETS). IEEE, 2019. http://dx.doi.org/10.1109/comsnets.2019.8711292.

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Iqbal, Asim, Hassan Mahmood, Umar Farooq, M. Ahsan Kabir, and Muhammad Usman Asad. "Cognitive Radio: A Breakthrough, Revolution in Wireless Communication." In 2009 International Conference on Wireless Networks and Information Systems (WNIS). IEEE, 2009. http://dx.doi.org/10.1109/wnis.2009.106.

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Cavdar, Derya, H. Birkan Yilmaz, Tuna Tugcu, and Fatih Alagoz. "Resource planning in cognitive radio networks." In 2009 6th International Symposium on Wireless Communication Systems (ISWCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iswcs.2009.5285240.

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Kim, Soyeon, and Wonjin Sung. "Operational algorithm for wireless communication systems using cognitive radio." In 2014 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, 2014. http://dx.doi.org/10.1109/comnetsat.2014.7050521.

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Tolossa, Yohannes Jote, Satyanarayana Vuppala, and Giuseppe Abreu. "Secrecy outage analysis of cognitive radio networks with power control." In 2015 International Symposium on Wireless Communication Systems. IEEE, 2015. http://dx.doi.org/10.1109/iswcs.2015.7454440.

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Pu, Haosen, Zhaoquan Gu, Qiang-Sheng Hua, and Hai Jin. "Communication and Block Game in Cognitive Radio Networks." In MSWiM'15: 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2811587.2811599.

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Rochford, Conor, Michael Ghizzoni, Matthew Kelley, Richard F. Vaz, Alexander M. Wyglinski, Michael Barry, and Sean McGrath. "An energy spreading technique for cognitive radio networks." In 2010 7th International Symposium on Wireless Communication Systems (ISWCS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iswcs.2010.5624503.

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Wu, Zhuo, and Yue Fei. "Channel and power allocation in cognitive radio networks." In 2010 7th International Symposium on Wireless Communication Systems (ISWCS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iswcs.2010.5624510.

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Kalil, Mohamed A., Hassan Al-Mahdi, and Andreas Mitschele-Thiel. "Spectrum handoff reduction for cognitive radio ad hoc networks." In 2010 7th International Symposium on Wireless Communication Systems (ISWCS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iswcs.2010.5624253.

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Ureten, O., K. E. Baddour, and T. J. Willink. "Distributed selection of sensing nodes in cognitive radio networks." In 2010 7th International Symposium on Wireless Communication Systems (ISWCS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iswcs.2010.5624370.

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Reports on the topic "Wireless communication systems Cognitive radio networks"

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Pursley, Michael B. Cognitive Radio for Tactical Wireless Communication Networks. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada558881.

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