Cognitive Radio Architecture MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Cognitive Radio Architecture, a fundamental topic in the field of Cognitive Radio. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Cognitive Radio Architecture MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Cognitive Radio Architecture mcq questions that explore various aspects of Cognitive Radio Architecture problems. Each MCQ is crafted to challenge your understanding of Cognitive Radio Architecture principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Cognitive Radio tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Cognitive Radio Architecture MCQs are your pathway to success in mastering this essential Cognitive Radio topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Cognitive Radio Architecture. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your Cognitive Radio Architecture knowledge to the test? Let's get started with our carefully curated MCQs!

Cognitive Radio Architecture MCQs | Page 4 of 15

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Discuss
Answer: (a).To add cognitive architecture to cognitive radio Explanation:The cognitive radio must evaluate, monitor, and access all resources including affirming downloads. The statement <Self/> is a self-referential component. It is used to add the aware, adaptive, and cognitive radio architecture to aware, adaptive and cognitive radio.
Q32.
What capability demand was boosted upon introduction of machine learning in cognitive radio?
Discuss
Answer: (c).Knowledge acquisition Explanation:Availability of knowledge of a certain degree is essential in cognitive radio to extract user knowledge pertaining to information services. The repeated occurrences of similar activity are considered as learning opportunities. This is exploited by machine learning for incremental knowledge acquisition.
Q33.
Which among the following methods enable identification of learning opportunities in machine learning in cognitive radio?
Discuss
Answer: (b).Joint probability statistics Explanation:Machine learning uses joint probability statistics for exploiting learning opportunities that arise due to repeated occurrence of similar situation. High quality use cases help to locate classes of user and knowledge that fine tune the set of services being provided.
Q34.
Which ontologies must work together for seamless user interaction experience?
Discuss
Answer: (b).<User/> and <RF/> Explanation:The best user interaction experience is built when the radio can understand vague commands from the owner. This requires continuous development of user ontology. It also requires the matching of user ontology with RF domain actions.
Discuss
Answer: (b).Association of language used by cognitive radio with that of user Explanation:Grounding initially beings with installation of a speech recognition subsystem that identifies common phrases used by the owner while referring to particular services. It is accomplished by text and speech recognition. It also involves asking β€œyes or no” questions either verbally or on display.
Q36.
Which among the following is added to AACR architecture to construct dialogs?
Discuss
Answer: (c).Synonyms Explanation:The RF concepts are presented to non-technical users by carefully constructing dialogs between <RF/> and <User/>. The introduction of synonyms in AACR architecture coordinates cognition–NL–synthesis interface. For example, the term antenna is associated with wireless-remote speaker.
Q37.
<User/> learns jargon to express connectivity opportunities to cognitive radio.
Discuss
Answer: (b).False Explanation:<RF/> learns jargon to express connectivity opportunities to cognitive radio in <User/> terms. The NL visual facility is employed for improving user jargon one instance at a time.
Q38.
Which among the following support video-acoustic combination of interfaces in cognitive radio?
Discuss
Answer: (c).Cross-media correlation interfaces Explanation:The functional components operate together for effective operation of cognitive radio. The functional component β€œUser SP” combines with itself for reducing operations provoked by irrelevant triggering actions. For example, video-acoustic combination help in eliminating voice commands when the person is not talking on video.
Q39.
Which among the following is accomplished by the combination of cognition and effector functions?
Discuss
Answer: (c).Establish efferent path for control of effectors Explanation:The combination of cognition and effector functions is used to establish the efferent path for the control of effectors. The information services deliver the relevant data to effectors. The cognition function then arranges the data, develops a path, and oversees the flow of information.
Q40.
Which among the following methods may be used to estimate interference in cognitive radio?
Discuss
Answer: (d).Model the propagation of signal Explanation:he cognition function replicate the propagation of radio signal with good quality to determine the level of interference expected towards other users of the spectrum. It may also be used to verify whether the interference level is within the specified limits imposed by the protocols pertaining to the location.