Relevant bibliographies by topics / Cognitive radio transmitter

Academic literature on the topic 'Cognitive radio transmitter'

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Published: 25 May 2024

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Journal articles on the topic "Cognitive radio transmitter"

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Lafia, Diafale, Mistura Laide Sanni, Rasheed Ayodeji Adetona, Bodunde Odunola Akinyemi, and Ganiyu Adesola Aderounmu. "Signal Processing-based Model for Primary User Emulation Attacks Detection in Cognitive Radio Networks." Journal of Computing and Information Technology 29, no. 2 (July 4, 2022): 77–88. http://dx.doi.org/10.20532/cit.2021.1005297.

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Cognitive Radio Networks (CRNs) have been conceived to improve the efficiency of accessing the spectrum. However, these networks are prone to various kinds of attacks and failures that can compromise the security and performance of their users. One of the notable malicious attacks in cognitive radio networks is the Primary User Emulation (PUE) attack, which results in underutilization and unavailability of the spectrum and low operational efficiency of the network. This study developed an improved technique for detecting PUE attacks in cognitive radio networks and further addressed the characteristics of sparsely populated cognitive radio networks and the mobility of the primary users. A hybrid signal processing-based model was developed using the free space path loss and additive Gaussian noise models. The free space path loss model was used to detect the position of the transmitter, while the additive Gaussian noise model was used to analyze the signal transmitted, i.e., energy detection in the spectrum at the detected location. The proposed model was benchmarked with an existing model using the number of secondary users and the velocity of the transmitter as performance parameters. The simulation results show that the proposed model has improved accuracy in detecting primary user emulation attacks. It was concluded that the proposed hybrid model with respect to the number of secondary users and the velocity of the transmitter can be used for primary user emulation attack detection in cognitive radio networks.
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Oni, Phillip Babatunde, Ruifeng Duan, and Mohammed Elmusrati. "Dual Analysis of the Capacity of Spectrum Sharing Cognitive Radio with MRC under Nakagami-m Fading." Conference Papers in Engineering 2013 (May 28, 2013): 1–8. http://dx.doi.org/10.1155/2013/572383.

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In this study, the maximum achievable information transmission rate of spectrum sharing cognitive radio with maximal ratio combining (MRC) antenna diversity technique is investigated when the channel between the secondary transmitter and the primary receiver and that between the secondary transmitter and the secondary receiver suffer Nakagami-m fading. With an assumption that both channels encounter Nakagami-m fading and the transmission of the secondary transmitter is subject to average interference power constraint, the approximated expressions for analyzing the effective capacity and the ergodic capacity of cognitive radio users with MRC are presented. The two capacity models are compared. In the case of the effective capacity, it is shown that different applications or users with different quality of service (QoS) requirements can be supported in cognitive radio, and when the delay QoS decreases, the effective capacity approaches the ergodic capacity.
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Rahman, Md Zia Ur, P. V. S. Aswitha, D. Sriprathyusha, and S. K. Sameera Farheen. "Beamforming in cognitive radio networks using partial update adaptive learning algorithm." ACTA IMEKO 11, no. 1 (March 31, 2022): 8. http://dx.doi.org/10.21014/acta_imeko.v11i1.1214.

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<p>Cognitive radio technology is a promising way to improve bandwidth efficiency. Frequency which is not used in any aspect will be utilized by using some of the most powerful resources in this cognitive radio. One of the main advantages of cognitive radio signal is to detect the different channels which are there in the spectrum and it can modify the frequencies which is utilized frequently. It allows the licensed users to gain the licensed bandwidth under the condition to protect the licensed users from harmful interference i.e., from secondary users. In this paper, we would like to implement cognitive radio using the beamforming technique, by using power allocation as a strategy for the unlicensed transmitter which is purely form on the result of sensing. It is on the state of the primary user in a various cognitive radio network whereas the unlicensed transmitter gives a single antenna and it modify its power transmission. For the cognitive radio setup, we have used normalized adaptive learning algorithms. This application would be very useful in medical telemetry applications. Nowadays wireless communication plays a vital role in healthcare applications for that we have to build a separate base. It reduces the effort of the building of separate infrastructure for medical telemetry applications.</p>
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Lin, Pin-Hsun, Shih-Chun Lin, Chung-Pi Lee, and Hsuan-Jung Su. "Cognitive Radio with Partial Channel State Information at the Transmitter." IEEE Transactions on Wireless Communications 9, no. 11 (November 2010): 3402–13. http://dx.doi.org/10.1109/twc.2010.092410.090725.

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Goel, Paurav, Avtar Singh, and Ashok Goel. "Transmit power control and data rate enhancement in cognitive radio network using computational intelligence." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (April 1, 2022): 1602. http://dx.doi.org/10.11591/ijece.v12i2.pp1602-1616.

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Underutilized radio frequencies are the chief apprehension in advance radio communication. The radio recourses are sparse and costly and their efficient allocation has become a challenge. Cognitive radio networks are the ray of hope. Cognitive radio networks use dynamic spectrum access technique to opportunistically retrieve and share the licensed spectrum. The licensed users are called primary users and the users that opportunistically access the licensed spectrum all called secondary users. The proposed system is a feedback system that work on demand and supply concept, in which secondary receivers senses the vacant spectrum and shares the information with the secondary transmitters. The secondary transmitters adjust their transmission parameters of transmit power and data rate in such a way that date rate is maximized. Two methods of spectrum access using frequency division multiple access (FDMA) and Time division multiple access (TDMA) are discussed. Interference temperature limit and maximum achievable capacity are the constraints that regulate the entire technique. The aim of the technique is to control the transmitter power according to the data requirements of each secondary user and optimizing the resources like bandwidth, transmit power using machine learning and feed forward back propagation deep neural networks making full use of the network capacity without hampering the operation of primary network.
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Et. al., Dr Mahesh Kumar N,. "Analytical Model for Mitigating Primary User Emulation Attack using Hypothesis Testing in Cognitive Radio Networks." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 11 (May 10, 2021): 486–500. http://dx.doi.org/10.17762/turcomat.v12i11.5912.

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The Cognitive Radio (CR) is the key technology to deal with spectrum scarcity by allowing unlicensed CR users to coexist with existing users in licensed spectrum bands without interfering with binding communications. Cognitive technology provides the spectrum ability to be shared with licensed networks. This radio system can adjust its transmitter and recipient parameters on the basis of interaction with the current conditions in the environment. Due to this flexibility cognitive radios are exploring different types of threats and security attacks. In this paper, we focus primarily on the Primary User Emulation Attack (PUEA) which is a major attack in the cognitive radio network. PUEA is similar to a Denial-of-service attack that can seriously disrupt the spectrum sensing process and deny other legitimate secondary users to access the available spectrum. We proposed a Neyman-Pearson composite hypothesis test (NPCHT) based analytical model to study the impact of PUEA in a fading wireless communication environment. Simulation results show that the proposed techniques can substantially reduce the impact of the malicious attack on the network
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Zhang, Xiaodong, Xiaowei Zhu, Jing Liu, and Changjiang You. "A low EVM zero-IF RF transmitter for cognitive radio application." Journal of Electronics (China) 27, no. 5 (September 2010): 723–27. http://dx.doi.org/10.1007/s11767-011-0500-5.

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Ammar, Mahmoud Ali. "Performance Metrics in Cognitive Radio Networks." AL-MUKHTAR JOURNAL OF SCIENCES 36, no. 1 (March 31, 2021): 73–79. http://dx.doi.org/10.54172/mjsc.v36i1.21.

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In Cognitive Radio Networks (CRN), the main aim is to allow the secondary users (SUs) to identify the empty bands and use them to transmit or receive data opportunistically. Primary users (PUs) have the priority to use a channel, while the secondary users must vacant this channel once a primary user requests it. An attack known in cognitive radio networks as a Primary User Emulation Attack (PUEA) aims to prevent the SU from using the empty bands. In this paper, an analytical and experimental approach is presented to mitigate the PUEA. This approach is based on obtaining the Probability Density Functions (PDFs) of the received powers at the secondary users from malicious nodes and also from the primary transmitter in the cognitive network. Then, these obtained PDFs are used in Neyman-Pearson composite hypothesis test to measure the performance metrics (probability of false alarm and miss detection in the network). The results proved that the performance metrics were greatly influenced by the network area, where the secondary user is located, and the threshold value λ used in the decision rule. Also, there are boundaries for the λ choices that cannot be overtaken.
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UM, Jung-Sun, Sung-Hyun HWANG, Chang-Joo KIM, and Byung Jang JEONG. "A Novel Transmitter and Receiver Structure for Cognitive Radio Based OFDM Systems." IEICE Transactions on Communications E94-B, no. 4 (2011): 1070–71. http://dx.doi.org/10.1587/transcom.e94.b.1070.

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Tran, Hoai Trung. "Proposed Precoder for the Secondary Transmitter in the Cognitive MIMO Radio Network." International Journal of Computer Applications 183, no. 22 (August 18, 2021): 20–26. http://dx.doi.org/10.5120/ijca2021921587.

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Dissertations / Theses on the topic "Cognitive radio transmitter"

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Ashok, Arun [Verfasser]. "High Linear Transmitter for LTE/WLAN Cognitive Radio Applications / Arun Ashok." München : Verlag Dr. Hut, 2018. http://d-nb.info/1168534801/34.

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Chen, Ruiliang. "Enhancing Attack Resilience in Cognitive Radio Networks." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/26330.

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The tremendous success of various wireless applications operating in unlicensed bands has resulted in the overcrowding of those bands. Cognitive radio (CR) is a new technology that enables an unlicensed user to coexist with incumbent users in licensed spectrum bands without inducing interference to incumbent communications. This technology can significantly alleviate the spectrum shortage problem and improve the efficiency of spectrum utilization. Networks consisting of CR nodes (i.e., CR networks)---often called dynamic spectrum access networks or NeXt Generation (XG) communication networks---are envisioned to provide high bandwidth to mobile users via heterogeneous wireless architectures and dynamic spectrum access techniques. In recent years, the operational aspects of CR networks have attracted great research interest. However, research on the security aspects of CR networks has been very limited. In this thesis, we discuss security issues that pose a serious threat to CR networks. Specifically, we focus on three potential attacks that can be launched at the physical or MAC layer of a CR network: primary user emulation (PUE) attack, spectrum sensing data falsification (SSDF) attack, and control channel jamming (CCJ) attack. These attacks can wreak havoc to the normal operation of CR networks. After identifying and analyzing the attacks, we discuss countermeasures. For PUE attacks, we propose a transmitter verification scheme for attack detection. The scheme utilizes the location information of transmitters together with their signal characteristics to verify licensed users and detect PUE attackers. For both SSDF attacks and CCJ attacks, we seek countermeasures for attack mitigation. In particular, we propose Weighted Sequential Probability Ratio Test (WSPRT) as a data fusion technique that is robust against SSDF attacks, and introduce a multiple-rendezvous cognitive MAC (MRCMAC) protocol that is robust against CCJ attacks. Using security analysis and extensive numerical results, we show that the proposed schemes can effectively counter the aforementioned attacks in CR networks.
Ph. D.
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Alfattani, Safwan. "Indirect Methods for Constructing Radio Environment Map." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35666.

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To solve the spectrum scarcity problem caused by the high number of wireless applications and users, the concept of cognitive radio (CR) was proposed in the past few years. Cognitive radio networks (CRNs) provide dynamic spectrum access (DSA), where the unlicensed users can access the spectrum without causing unacceptable level of interference to the primary user (PU). DSA was based on conventional spectrum sensing information or geolocation databases. Later, radio environment map (REM) as an improved geolocation database was introduced to enhance the DSA process. It is a comprehensive map consists of different integrated databases, and the interference field information is one of its databases. In this thesis, a description of the REM concept and its construction methods will be presented. The focus will be for the indirect methods for constructing interference map, which represents a layer of the REM. Indirect method refers to the methods that utilize known model information, to first estimate the primary transmitter parameters and then generate REM. Two indirect methods under lognormal shadowing were presented and compared. The better of these two methods is further investigated in different scenarios. These scenarios include different number of sensors, varied size of measurements, several shadowing spread values, different percentages of error in path-loss exponent, and the effect of the number of moving sensors and their speeds to the REM quality. The performance is evaluated using these metrics: “localization error, signal power error and correct detection zone ratio (CDZR). The results show that performance is enhanced as the number of sensors and the size of measurements increase, whereas clear degradation in REM quality is shown when shadowing spread increases or the model parameters are not well calibrated. Also, as the number of moving sensors or their speeds increase, the REM performance becomes less effective
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Eshra, Islam. "Un FIRDAC programmable pour émetteurs RF re-configurable." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS461.

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Le convertisseur numérique-analogique à réponse impulsionnelle finie (FIRDAC) proposé est programmable avec un ordre entièrement reconfigurable et des coefficients capables de fournir un ordre jusqu'à 62 et un rapport entre le coefficient maximum et minimum de 159. Cela a permis une large gamme de facteurs d'atténuation pouvant atteindre 100dB et une large gamme de bandes de transition normalisées (>0.0156). Le filtre FIRDAC a été conçu et implémenté en technologie CMOS 65 nm avec une surface active totale de 0,867 mm2. Au niveau du circuit, le FIRDAC peut atteindre une fréquence d'échantillonnage de 2,56 GHz pour une consommation en puissance moyenne de 9mW. Pour une entrée sinusoïdale, le filtre FIRDAC atteint un rapport signal sur bruit (SNR) jusqu'à 67,3 dB et une dynamique (SFDR) de 72 dBc. Les performances du filtre FIRDAC ont été testées dans des émetteurs QPSK, 16-QAM et 64-QAM avec OFDM et avec différentes largeurs de bande. Les simulations montrent un EVM (Error Vector Magnitude) de 2,66%, 1,9% et 2,29% respectivement. Une partie de ce travail concerne la conception du Front-End d’un émetteur RF programmable. Le Front-End RF est composé d'un mélangeur RF, d'un amplificateur de pré-puissance et d'un filtre LC réglable. Le Front-End RF complet a un gain programmable total de 23 dB avec un pas de 1,53 dB et capable de fonctionner sur une plage de 1,5 GHz à 5 GHz. La puissance RF de sortie maximale est de -11 dBm avec une consommation électrique de 23 mW. Les résultats montrent une dynamique (SFDR) maximum de -61,95 dBc pour deux tonalités à une fréquence porteuse de 4 GHz, tandis que pour un signal OFDM 16-QAM, l'EVM obtenu était de 4,76 %
The first part of this work relates to the design and implementation of a programmable Finite Impulse Response Digital to Analog Converter (FIRDAC). The programmability is in the filter's order (N-1) and its coefficients. The proposed FIRDAC is capable of providing an order up to 62 and a ratio between maximum to minimum coefficient up to 159. This allowed the filter to provide up to 100dB of attenuation and a wide range of normalized transition-band (>0.0156). The FIRDAC filter has been designed and implemented in 65nm CMOS with total active area 0.867mm2. The FIRDAC can operate up to 2.56 GHz of sampling frequency at an average power consumption of 9mW. For a single tone input, the FIRDAC filter managed to provide an SNR up to 67.3dB and a SFDR of 72dBc. The FIRDAC filter was tested with different modulation techniques: OFDM, 16-QAM OFDM and 64-QAM OFDM having different channel Bandwidth. The circuit achieved an Error Vector Magnitude (EVM) of 2.66%, 1.9% and 2.29% respectively, complying with the LTE and the 802.11ac standards. The second part of this work relates to the design of a programmable RF front-end circuit. The RF front-end is composed of an analog RF mixer, a programmable Pre-Power Amplifier (PPA) and a tunable LC tank. The whole RF front-end introduced a total programmable gain of 23dB with a gain step of 1.53dB operating in the 1.5GHz - 5GHz frequency range. The maximum output RF power is -11dBm with a power consumption of 23mW. Simulation result showed a maximum SFDR of -61.95dBc for two tones at a carrier frequency of 4GHz. While for a 16-QAM OFDM signal, the obtained EVM was 4.76%
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Cowhig, Patrick Carpenter. "A Complete & Practical Approach to Ensure the Legality of a Signal Transmitted by a Cognitive Radio." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/34969.

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The computational power and algorithms needed to create a cognitive radio are quickly becoming available. There are many advantages to having a radio operated by cognitive engine, and so cognitive radios are likely to become very popular in the future. One of the main difficulties associated with the cognitive radio is ensuring the signal transmitted will follow all FCC rules. The work presented in this thesis provides a methodology to guarantee that all signals will be legal and valid. The first part to achieving this is a practical and easy to use software testing program based on the tabu search algorithm that tests the software off-line. The primary purpose of the software testing program is to find most of the errors, specially structural errors, while the radio is not in use so that it does not affect the performance of the system. The software testing program does not provide a complete assurance that no errors exist, so to supplement this deficit, a built-in self-test (BIST) is employed. The BIST is designed with two parts, one that is embedded into the cognitive engine and one that is placed into the radio's API. These two systems ensure that all signals transmitted by the cognitive radio will follow FCC rules while consuming a minimal amount of computational power. The software testing approach based on the tabu search is shown to be a viable method to test software with improved results over previous methods. Also, the software BIST demonstrated its ability to find errors in the signal production and is dem to only require an insignificant amount of computational power. Overall, the methods presented in this paper provide a complete and practical approach to assure the FCC of the legality of all signals in order to obtain a license for the product.
Master of Science
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Raja, Immanuel. "Fully Integrated CMOS Transmitter and Power Amplifier for Software-Defined Radios and Cognitive Radios." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/3559.

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Software Defined Radios (SDRs) and Cognitive Radios (CRs) pave the way for next-generation radio technology. They promise versatility, flexibility and cognition which can revolutionize communications systems. However they present greater challenges to the design of radio frequency (RF) front-ends. RF front-ends for the radios in use today are narrow-band in their frequency response and are optimized and tuned to the carrier frequency of interest. SDRs and CRs demand front-ends which are versatile, configurable, tunable and be capable of transmitting and receiving signals with different bandwidths and modulation schemes. Integrating power amplifiers (PAs) with transmitters in CMOS has many advantages and challenges. This thesis deals with the design of an RF transmitter front-end for SDRs and CRs in CMOS. The thesis begins with an introduction to SDRs and the requirements they place on transmitters and the challenges involved in designing them in CMOS. After a brief overview of the existing techniques, the proposed architecture is presented and explained. A digitally intensive transmitter solution is proposed. The transmitter covers a wide frequency range of 750 MHz to 2.5 GHz. The inputs to the proposed transmitter are in-phase and quadrature (I & Q) data bit streams. Multiple stages of up-sampling and filtering are used to remove all spurs in the spectrum such that only the harmonics of the carrier remain. Differential rail-to-rail quadrature clocks are generated from a continuous wave signal at twice the carrier frequency. The clocks are corrected for their duty cycle and quadrature impairments. The heart of the transmitter is an integrated reconfigurable CMOS power amplifier (PA). A methodology to design reconfigurable Class E PAs with a series fixed inductor has been presented. A CMOS power amplifier that can span a wide frequency range with sufficient output power and efficiency, supporting varying envelope complex modulation signals, with good linearity has been designed. Digital pre-distortion (DPD) is used to linearize the PA. The full transmitter and the clock correction blocks have been designed and fabricated in a commercial 130-nm CMOS process and experimentally characterized. The PA delivers a maximum power of 13 dBm with an efficiency of 27% at 1 GHz. While transmitting a 16-QAM signal at 1 GHz, the measured EVM is 4%. It delivers a maximum power of around 11-13 dBm from 750 MHz to 1.5 GHz and up to 6.5 dBm of power till 2.5 GHz. Comparing the proposed system with recently published literature, it can be seen that the proposed design is one of the very few transmitters which has an integrated matching network, tunable across the frequency range. The proposed PA produces the highest output power and with largest efficiency for systems with on-chip output networks.
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Raja, Immanuel. "Fully Integrated CMOS Transmitter and Power Amplifier for Software-Defined Radios and Cognitive Radios." Thesis, 2017. http://etd.iisc.ernet.in/2005/3559.

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Software Defined Radios (SDRs) and Cognitive Radios (CRs) pave the way for next-generation radio technology. They promise versatility, flexibility and cognition which can revolutionize communications systems. However they present greater challenges to the design of radio frequency (RF) front-ends. RF front-ends for the radios in use today are narrow-band in their frequency response and are optimized and tuned to the carrier frequency of interest. SDRs and CRs demand front-ends which are versatile, configurable, tunable and be capable of transmitting and receiving signals with different bandwidths and modulation schemes. Integrating power amplifiers (PAs) with transmitters in CMOS has many advantages and challenges. This thesis deals with the design of an RF transmitter front-end for SDRs and CRs in CMOS. The thesis begins with an introduction to SDRs and the requirements they place on transmitters and the challenges involved in designing them in CMOS. After a brief overview of the existing techniques, the proposed architecture is presented and explained. A digitally intensive transmitter solution is proposed. The transmitter covers a wide frequency range of 750 MHz to 2.5 GHz. The inputs to the proposed transmitter are in-phase and quadrature (I & Q) data bit streams. Multiple stages of up-sampling and filtering are used to remove all spurs in the spectrum such that only the harmonics of the carrier remain. Differential rail-to-rail quadrature clocks are generated from a continuous wave signal at twice the carrier frequency. The clocks are corrected for their duty cycle and quadrature impairments. The heart of the transmitter is an integrated reconfigurable CMOS power amplifier (PA). A methodology to design reconfigurable Class E PAs with a series fixed inductor has been presented. A CMOS power amplifier that can span a wide frequency range with sufficient output power and efficiency, supporting varying envelope complex modulation signals, with good linearity has been designed. Digital pre-distortion (DPD) is used to linearize the PA. The full transmitter and the clock correction blocks have been designed and fabricated in a commercial 130-nm CMOS process and experimentally characterized. The PA delivers a maximum power of 13 dBm with an efficiency of 27% at 1 GHz. While transmitting a 16-QAM signal at 1 GHz, the measured EVM is 4%. It delivers a maximum power of around 11-13 dBm from 750 MHz to 1.5 GHz and up to 6.5 dBm of power till 2.5 GHz. Comparing the proposed system with recently published literature, it can be seen that the proposed design is one of the very few transmitters which has an integrated matching network, tunable across the frequency range. The proposed PA produces the highest output power and with largest efficiency for systems with on-chip output networks.
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Sahasranand, K. R. "Robust Nonparametric Sequential Distributed Spectrum Sensing under EMI and Fading." Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3834.

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Opportunistic use of unused spectrum could efficiently be carried out using the paradigm of Cognitive Radio (CR). A spectrum remains idle when the primary user (licensee) is not using it. The secondary nodes detect this spectral hole quickly and make use of it for data transmission during this interval and stop transmitting once the primary starts transmitting. Detection of spectral holes by the secondary is called spectrum sensing in the CR scenario. Spectrum Sensing is formulated as a hypothesis testing problem wherein under H0 the spectrum is free and under H1, occupied. The samples will have different probability distributions, P0 and P1, under H0 and H1 respectively. In the first part of the thesis, a new algorithm - entropy test is presented, which performs better than the available algorithms when P0 is known but not P1. This is extended to a distributed setting as well, in which different secondary nodes collect samples independently and send their decisions to a Fusion Centre (FC) over a noisy MAC which then makes the final decision. The asymptotic optimality of the algorithm is also shown. In the second part, the spectrum sensing problem under impediments such as fading, electromagnetic interference and outliers is tackled. Here the detector does not possess full knowledge of either P0 or P1. This is a more general and practically relevant setting. It is found that a recently developed algorithm (which we call random walk test) under suitable modifications works well. The performance of the algorithm theoretically and via simulations is shown. The same algorithm is extended to the distributed setting as above.
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Sahasranand, K. R. "Robust Nonparametric Sequential Distributed Spectrum Sensing under EMI and Fading." Thesis, 2015. http://etd.iisc.ernet.in/2005/3834.

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Opportunistic use of unused spectrum could efficiently be carried out using the paradigm of Cognitive Radio (CR). A spectrum remains idle when the primary user (licensee) is not using it. The secondary nodes detect this spectral hole quickly and make use of it for data transmission during this interval and stop transmitting once the primary starts transmitting. Detection of spectral holes by the secondary is called spectrum sensing in the CR scenario. Spectrum Sensing is formulated as a hypothesis testing problem wherein under H0 the spectrum is free and under H1, occupied. The samples will have different probability distributions, P0 and P1, under H0 and H1 respectively. In the first part of the thesis, a new algorithm - entropy test is presented, which performs better than the available algorithms when P0 is known but not P1. This is extended to a distributed setting as well, in which different secondary nodes collect samples independently and send their decisions to a Fusion Centre (FC) over a noisy MAC which then makes the final decision. The asymptotic optimality of the algorithm is also shown. In the second part, the spectrum sensing problem under impediments such as fading, electromagnetic interference and outliers is tackled. Here the detector does not possess full knowledge of either P0 or P1. This is a more general and practically relevant setting. It is found that a recently developed algorithm (which we call random walk test) under suitable modifications works well. The performance of the algorithm theoretically and via simulations is shown. The same algorithm is extended to the distributed setting as above.
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Books on the topic "Cognitive radio transmitter"

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Transceiver and system design for digital communications. 4th ed. London: Scitech Publishing, an imprint of the IET, 2014.

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1950-, Bullock Scott R., ed. Transceiver and system design for digital communications. 2nd ed. Tucker, GA: Noble Pub. Corp., 2000.

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Transceiver system design for digital communications. Atlanta, GA: Noble Pub., 1995.

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Transceiver and system design for digital communications. 3rd ed. Raleigh, NC: SciTech Pub., 2008.

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RF analog impairments modeling for communication systems simulation: Application to OFDM-based transceivers. Chichester, West Sussex: Wiley, 2012.

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Bullock, Scott R. Transceiver and System Design for Digital Communications. SciTech Publishing, Incorporated, 2009.

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Bullock, Scott R. Transceiver and System Design for Digital Communications. SciTech Publishing, Incorporated, 2014.

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Bullock, Scott R. Transceiver and System Design for Digital Communications. Institution of Engineering & Technology, 2017.

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Book chapters on the topic "Cognitive radio transmitter"

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Fahim, Amr. "High-Linearity Wideband Transmitter." In Radio Frequency Integrated Circuit Design for Cognitive Radio Systems, 99–138. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11011-0_5.

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Bolea, Liliana, Jordi Pérez-Romero, Ramón Agustí, and Oriol Sallent. "Primary Transmitter Discovery Based on Image Processing in Cognitive Radio." In The Internet of the Future, 178–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03700-9_19.

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Shine Let, G., Songa Christeen, P. Lidiya Priya, B. Keerthi Reddy, and P. Swetha. "Comparative Study of Transmitter-Side Spectrum Detection in Cognitive Radio Network." In International Conference on Computer Networks and Communication Technologies, 875–84. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8681-6_81.

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Song, Xiaoshi, Xiangbo Meng, Yuting Geng, Ning Ye, and Jun Liu. "Coverage Performance in Cognitive Radio Networks with Self-sustained Secondary Transmitters." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 170–81. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72823-0_17.

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Zhu, Lianghui, Zhanke Zhou, Zhaochuan Peng, and Xiaojun Hei. "Accelerating Spectrum Sharing Algorithms for Cognitive Radio Transmitters in a Momentum Q-Learning Approach." In Simulation Tools and Techniques, 533–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72792-5_42.

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Derakhshani, Mahsa, and Tho Le-Ngoc. "Interference Statistics and Capacity-Outage Analysis in Cognitive Radio Networks." In Advances in Wireless Technologies and Telecommunication, 711–44. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6571-2.ch027.

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This chapter presents a study on the interference caused by Secondary Users (SUs) due to miss-detection errors and its effects on the capacity-outage performance of the Primary User (PU) in a cognitive radio network assuming Rayleigh and Nakagami fading channels. The effect of beacon transmitter placement on aggregate interference distribution and capacity-outage performance is studied considering two scenarios of beacon transmitter placement: a beacon transmitter located at a PU transmitter or at a PU receiver. Based on the developed statistical models for the interference distribution, closed-form expressions for the capacity-outage probability of the PU are derived to examine the effects of various system parameters on the performance of the PU in the presence of interference from SUs. Furthermore, the model is extended to investigate the cooperative sensing effect on aggregate interference statistical model and capacity-outage performance considering OR (i.e., logical OR operation) and Maximum Likelihood (ML) cooperative detection techniques.
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Omer, Ala Eldin. "Review of Spectrum Sensing Techniques in Cognitive Radio Networks." In Advances in Wireless Technologies and Telecommunication, 85–107. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5354-0.ch005.

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Most frequency spectrum bands are licensed to certain services to avoid the interference between various networks, but the spectrum occupancy measurements show that few portions of this spectrum are fully efficiently used. Cognitive radio is a future radio technology that is aware of its environment, internal state, and can change its operating behavior (transmitter parameters) accordingly. Through this technology the unlicensed users can use the underutilized spectrum without causing any harmful interference to the licensed users. Its key domains are sensing, cognition, and adaptation. The spectrum sensing problem is one of the most challenging issues in cognitive radio systems to detect the available frequency bands. This chapter introduces the concepts of various transmitter detection techniques, namely energy detection, matched filter detection, and cyclostationary feature detection. The chapter also discusses other sensing techniques that are introduced to enhance the detection performance of the conventional energy detector. Additionally, the introduced sensing techniques are implemented using extensive MATLAB simulations and their performances are evaluated and compared in terms of sensing time, detection sensitivity, and ease of implementation. The implementation is based on BPSK and QPSK modulation schemes under various SNR values for AWGN noisy channel with Rayleigh fading.
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Ahmadi-Shokouh, Javad. "Optimal RF Beamforming for MIMO." In Advances in Wireless Technologies and Telecommunication, 165–72. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4221-8.ch009.

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Secondary receivers in Multiple-Input Multiple-Output (MIMO) Cognitive Radio (CR) networks combat interference from primary transmitters while equipped with whitening filters. However, when the MIMO secondary users are employing Radio Frequency (RF) beam-forming networks at the transmitter/receiver front ends to improve the MIMO transmission performance, the whitening filters cannot perform interference cancellation. In this chapter, transmit/receive optimum RF beamforming is proposed for a MIMO spatial multiplexing system. The performance of the optimally designed RF beamforming technique is evaluated over a Rician channel via computer simulations. Simulation results are assessed for different RF beamforming structures and the number of primary transmitters causing interference on the secondary receiver.
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Pinchevski, Amit. "Conclusion: Wounding Transmissions." In Transmitted Wounds. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190625580.003.0009.

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“Transmission” is a term used, curiously enough, in both technology and psychology. In the former, it denotes the transfer of messages from one point to another, a view that was principally theorized by Claude Shannon and Warren Weaver. Technologically speaking, transmission names the conveyance of information from sender to receiver through a designated channel by means of symbols or signals. This technical formulation of transmission constitutes the operational basis of numerous media technologies. In psychology, transmission is often used to describe the way behavior and symptoms of traumatized parents are transferred to their children, causing transgenerational trauma. Such transmission can be direct or indirect, overt or covert; indeed, transmission of trauma might be the result of either over-disclosure of knowledge and facts, or of under- disclosure, even of persistent silence, which “can often communicate traumatic messages as powerfully as words.” In both technological and psychological uses, transmission denotes a unilateral handing over across space and/ or time. But clearly psychological transmission implies more than the mere delivery of messages: it involves a delivery that exceeds that of meaning or information proper, a transmission taking place as though beyond words, on the affective rather than on the cognitive level. This book has posited media as linking the two senses of transmission above by virtue of the technological capability of effecting impact in excess of message, and contact in excess of content. And nowhere are the stakes in linking technological and psychological transmissions higher than in the mediation of trauma. In this book I have advanced an argument about the deep association of media and trauma. The media discussed here—radio, videotape, television, digital, and virtual—comprise different instantiations of the mediation of trauma: the ways media technologies sustain and convey the experience of unsettling experience. Media reach to the Real, and in so doing make available a register whose registration is of corporeality itself. Bodies find expression through media in the Real, revealing materiality as a common substratum.
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Gillberg, Christopher. "Double Syndromes:Autism Associated with Genetic, Medical and Metabolic Disorders." In Cognitive and Behavioral Abnormalities of Pediatric Diseases. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195342680.003.0008.

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A number of conditions—genetic, metabolic, and medical syndromes—have a high rate (more than expected by chance; i.e., more than a few percent) or a very high rate (more than 20%) of several autism symptoms associated with them. In the presence of these syndromes, the diagnosis of autistic disorder or autism spectrum disorder (ASD) is very often appropriate (Gillberg and Coleman 2000). These conditions are listed in Table 2.1. Some conditions, like Down syndrome, have a much lower rate of autistic symptoms than other of the listed syndromes, but, nonetheless, present a much higher rate than expected in the general population. A number of these syndromes are also discussed elsewhere in this volume, where the full range of cognitive and behavioral complications are addressed. Angelman syndrome is characterized by jerky movements, unprovoked laughter, and varying degrees of mental retardation, mostly severe or profound (Horsler and Oliver 2006). The rate of Angelman syndrome in the general population has been estimated at about 1 in 12,000 children, with a 1:1 male-to-female ratio (Steffenburg, Gillberg, Steffenburg, & Kyllerman 1996). Angelman syndrome (formerly known as ‘happy puppet syndrome’) is usually caused by a deletion of chromosome 15q11.2–12, which is similar, but not identical, to that found in children with Prader-Willi syndrome and is maternally, rather than paternally, inherited. The deletion includes a gene for the β-3 subunit of the γ-aminobutyric acid (GABA) receptor (Saitoh et al. 1994). Sixty to 75% of patients have deletions or rearrangements in the long arm of chromosome 15, and the deletion is always on the maternal chromosome. A small proportion of cases have paternal disomy for chromosome 15. At least 20% of affected persons have normal chromosomes and no evidence of disomy. In some of these cases, recurrence in relatives may be observed. Such cases may be due to a dominant mutation of the UBE3 gene at 15q11–13 resulting in an Angelman phenotype only when transmitted by females. Differences in clinical presentation are related to the nature of the genetic defect (Lossie et al. 2001).
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Conference papers on the topic "Cognitive radio transmitter"

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Radhi, Nazar, and H. S. AL-Raweshidy. "Primary Signal Transmitter Localization Using Cognitive Radio Networks." In 2011 5th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST). IEEE, 2011. http://dx.doi.org/10.1109/ngmast.2011.33.

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Pin-Hsun Lin, Shih-Chun Lin, Hsuan-Jung Su, and Yao-Win Peter Hong. "Cognitive radio with unidirectional transmitter and receiver cooperations." In 2010 44th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2010. http://dx.doi.org/10.1109/ciss.2010.5464799.

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Popescu, Dimitrie C., and Otilia Popescu. "Transmitter Adaptation in Cognitive Radio Systems and Applications to Cognitive Radar." In 2018 12th International Conference on Communications (COMM). IEEE, 2018. http://dx.doi.org/10.1109/iccomm.2018.8430150.

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Popescu, Dimitrie C., and Otilia Popescu. "Transmitter Adaptation in Cognitive Radio Systems and Applications to Cognitive Radar." In 2018 12th International Conference on Communications (COMM). IEEE, 2018. http://dx.doi.org/10.1109/iccomm.2018.8484817.

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Lv, Guocheng, Yingbo Li, Da Wang, Xiaoning Zhang, Na Yi, and Ye Jin. "Transmitter precoding for the multiantenna downlinks in cognitive radio networks." In 2013 IEEE TENCON Spring Conference. IEEE, 2013. http://dx.doi.org/10.1109/tenconspring.2013.6584462.

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Lin, P. H., S. C. Lin, and H. J. Su. "Cognitive Radio with Partial Channel State Information at the Transmitter." In 2008 IEEE International Conference on Communications. IEEE, 2008. http://dx.doi.org/10.1109/icc.2008.208.

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Wurm, Patrick, and Alexandre A. Shirakawa. "Radio transmitter architecture with all-digital modulator for opportunistic radio and modern wireless terminals." In 2008 First International Workshop on Cognitive Radio and Advanced Spectrum Management (CogART). IEEE, 2008. http://dx.doi.org/10.1109/cogart.2008.4509984.

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Lu, Yue, Wei Wang, Zhaoyang Zhang, Aiping Huang, and Vincent K. N. Lau. "Random access for a cognitive radio transmitter with RF energy harvesting." In GLOBECOM 2014 - 2014 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7036927.

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Mehrabian, Amir, and Amir Zaimbashi. "GLRT-Based Spectrum Sensing for SIMO Cognitive Radio with Transmitter IQI." In 2018 Iranian Conference on Electrical Engineering (ICEE). IEEE, 2018. http://dx.doi.org/10.1109/icee.2018.8472656.

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Myung, Jungho, Joonhyuk Kang, and Saleh Al-Araji. "Secondary Transmitter Design with Imperfect Channel State Information for Cognitive Radio Downlink." In 2013 IEEE 77th Vehicular Technology Conference (VTC Spring). IEEE, 2013. http://dx.doi.org/10.1109/vtcspring.2013.6692744.

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