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 14 of 15

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Q131.
Which among the following phases do the components A1, A2, A3 belong?
Discuss
Answer: (a).Observe Explanation:The components A1, A2, and A3 belong to observe phase of the cognition cycle. A1 is called as input map which connect the world unit to sensory data. A2 is a transformation component that converts atomic stimuli into primitive sequence. A3 is projection component that binds sequence to bindings.
Q132.
Which among the following correspond to the point plotted in the graph?
Discuss
Answer: (c).Software defined radio Explanation:The graph depicts the design space of software defined radio. The plotted point corresponds to an ideal software defined radio. An ideal software radio is one in which every physical layer function is software defined. The radio must be flexible, multifunction, programmable, and easy to upgrade.
Discuss
Answer: (a).Non-deterministic polynomial time Explanation:The non-deterministic polynomial time is a complexity class in the computational complexity theory. It is used to differentiate decision problems. NP is a collection of decision problems. When a decision results in action, it must have proof that can be confirmed in polynomial time by a deterministic Turing machine.
Q134.
Which among the following is a characteristic that need not be compulsorily present to overcome self-referential inconsistency in cognitive radio?
Discuss
Answer: (c).Susceptible to Gödel-Turing condition Explanation:In order to computationally support real time transmission and reception, a process must be defined in priori tightly bounded time epochs. A pre-defined action that uses O (1) resources is defined in advance and a reliable step counting function must be present. This will help in avoiding unpredictable usage of resources and unpredictable self-referential loops.
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.
Q136.
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.
Q137.
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.
Q138.
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.
Q140.
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.