Next Generation Wireless Network MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Next Generation Wireless Network, 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 Next Generation Wireless Network 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 Next Generation Wireless Network mcq questions that explore various aspects of Next Generation Wireless Network problems. Each MCQ is crafted to challenge your understanding of Next Generation Wireless Network 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 Next Generation Wireless Network 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 Next Generation Wireless Network. 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 Next Generation Wireless Network knowledge to the test? Let's get started with our carefully curated MCQs!

Next Generation Wireless Network MCQs | Page 31 of 33

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Q301.
What does an arc in a decision tree represent?

a.

An action

b.

A decision

c.

Set of all possible choices

d.

Set of all possible plans

Discuss
Answer: (c).Set of all possible choices Explanation:A decision tree is a directed graph with a hierarchical set of nodes and arcs. A node represents a choice or a decision. An arc from one decision node to another decision node represents all possible choices associated with that node.
Q302.
What is the parameter of analysis in reinforcement learning?

a.

Number of requests during wake cycle

b.

Number of processes to achieve final outcome

c.

Degree of failure

d.

Degree of success

Discuss
Answer: (d).Degree of success Explanation:Reinforcement based learning assigns a weightage to an action on the basis of the degree of success of its outcome. When situations requiring similar action arise, the weightage associated with an action is analyzed for compatibility. The degree of success is computed by measuring the closeness of the obtained outcome with the expected outcome.
Q303.
Which among the following statements provides the difference between reinforcement-based learning and temporal difference technique?

a.

State represented by a directed graph

b.

Assignment of weightage to an action on the basis of the degree of success

c.

Computation of degree of success

d.

Priori model of the sequence of possible states

Discuss
Answer: (d).Priori model of the sequence of possible states Explanation:The temporal difference algorithm does not a priori model of the sequence of possible states as the temporal difference algorithm constructs the state representation during execution. The states are composed as a value function and are stored on a neural network.
Q304.
Which among the following is not a challenge of employing reasoning and learning stage in the cognitive radio?

a.

Computational requirement

b.

Quality of Service

c.

Edge conditions

d.

Predictable behaviour

Discuss
Answer: (b).Quality of Service Explanation:Cognitive radio should provide a large amount of computational resources to achieve the results of each operation. Edge conditions refer to the devices which are positioned in a location without regular service and hence cannot benefit from learning techniques. Predictable behaviour refers to the ability to estimate the outcome of each step of the operation but not the final outcome.
Q305.
Which among the following is not a challenge for case based reasoning implementation?

a.

Memory

b.

Fixed ontology and knowledge representation

c.

Pattern matching

d.

Accuracy of reasoning

Discuss
Answer: (b).Fixed ontology and knowledge representation Explanation:Case based reasoning requires a large case database. It requires a large amount of computational resources for pattern matching and to modify the solution of a close match to satisfy the current problem. Case based reasoning can be implemented in any system provided it has large memory and processing power regardless of ontology and knowledge representation.
Q306.
Temporal reasoning allows a system to reason about its operational characteristics at discrete points in time.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False Explanation:Temporal reasoning allows a system to reason about its operational characteristics during an interval of time. For example, spectrum sensing over a period can help identify intervals of spectrum underutilization within that period of time.
Q307.
Which type of connection is depicted in the following diagram?

a.

Centralised connection

b.

Ad hoc connection

c.

Fixed infrastructure connection

d.

Single hop connection

Discuss
Answer: (b).Ad hoc connection Explanation:The connection depicted in the diagram is an xG ad hoc access connection. xG users may communicate among themselves using an ad hoc connection on licensed and unlicensed spectrum band. Ad hoc connection is typically a multihop connection. This type of connection is also known as xG connection without infrastructure.
Q308.
What type of network is depicted in the following diagram?

a.

xG ad hoc access

b.

xG network access

c.

Primary network access

d.

Secondary network access

Discuss
Answer: (b).xG network access Explanation:The diagram depicts xG network access connection. xG network access refers to the communication established via xG base-station on the licensed and unlicensed spectrum band. xG base station is a fixed infrastructure network component that provides single hop connection to xG users.
Q309.
What is the detection technique employed in the following diagram?

a.

Matching filter detection

b.

Cooperation detection

c.

Energy detection

d.

Cyclostationary detection

Discuss
Answer: (d).Cyclostationary detection Explanation:In cyclostationary detection, modulated signals are coupled with sine wave carriers or pulse trains to incorporate periodicity. By exploiting the periodicity, noise energy is differentiated from modulated signal energy. Hence it yields better noise performance than other transmitter detection techniques.
Q310.
Which among the following condition is represented in the following diagram?

a.

Transmitter uncertainty

b.

Shadowing uncertainty

c.

Receiver uncertainty

d.

Access point uncertainty

Discuss
Answer: (b).Shadowing uncertainty Explanation:Shadowing uncertainty is the situation when the xG user cannot sense the receiver when there is a clear line of sight between the receiver and xG user. It also cannot sense the transmitter since the line of sight between the transmitter and the xG user is hindered by the receiver.
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