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 13 of 15

Discover more Topics under Cognitive Radio

Discuss
Answer: (d).Definition of relationship between variables and constraints Explanation:Constraint programming is applied to a group of problems thatpermit the conversion of a problem into variables. It should be possible to define the problem as a mathematical equation. A final model is constructed based on the relationship between the variables and the constraints. The model is used to compute the value of variables.
Q122.
What is the T250 model of Mitsubishi?
Discuss
Answer: (c).Three-mode handset Explanation:The T250 model of Mitsubishi is a three-mode handset. It operates in Time Division Multiple Access (TDMA) mode on 850 or 1900 MHz, Advanced Mobile Phone System (AMPS) mode on 850 MHz, and in Cellular Digital Packet Data (CDPD) mode on 1900 MHz. It is a primitive example of multiband, multimode wireless device.
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.
Q124.
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.
Q126.
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.
Q127.
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.
Q128.
Parallel virtual machine is implemented using homogeneous computers.
Discuss
Answer: (b).False Explanation:Parallel virtual machine is implemented using a set of heterogeneous computers that work as a combined and flexible computational resource. Message-passing, task and resource management, and fault notification is accomplished by using a run time environment and library. Parallel virtual machine supports unicasting, multicasting, and broadcasting.
Discuss
Answer: (d).2 โ€“ Observe, 3 โ€“ Orient, 4 โ€“ Plan, 5- Decide, 6 โ€“ Act Explanation:The major states or phases of the cognition cycle are observe, orient, plan, decide, and act respectively. The flow of control moves from observation to action. Certain situations demand for parallel operation of all states.
Q130.
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.