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Worksheets6G Networks and AI Worksheet
Total questions: 25
Worksheet time: 13mins
The primary vision of 6G networks is to support:
Enhanced mobile broadband only
Ultra-high data rates with intelligent connectivity
Circuit-switched communication
Voice-centric services
One major limitation of 5G that motivates the development of 6G is:
Excessive spectrum availability
Inability to support massive intelligent devices
Very high latency
Lack of cloud integration
Which AI technique is most suitable for real-time resource allocation in 6G networks?
Supervised learning
Reinforcement learning
Unsupervised clustering
Transfer learning
6G networks aim to achieve latency approximately in the order of:
10 ms
5 ms
1 ms
Sub-millisecond
Which architectural concept enables on-demand network services in 6G?
Network slicing
Packet switching
Frequency hopping
Circuit multiplexing
The main role of AI in 6G communication systems is to:
Replace wireless spectrum
Enable intelligent, autonomous network operation
Increase hardware complexity
Eliminate edge computing
A long-term vision of AI in 6G networks is to enable:
Human-controlled networking
Fully autonomous, self-evolving networks
Static network optimization
Reduced intelligence
Identify the primary goal of energy-efficient 6G network architecture.
Increase data rates at any cost
Reduce energy consumption while maintaining performance
Maximize hardware usage
Eliminate network intelligence
Which technology helps reduce transmission power by intelligently shaping the radio environment?
Massive MIMO
Intelligent Reflecting Surfaces
Network slicing
Optical fiber communication
Which architectural approach enables energy-efficient service provisioning in 6G?
Hardware-centric networking
Fixed network architecture
Software-Defined Networking (SDN)
Circuit switching
What is the primary objective of using Reinforcement Learning for energy-efficient resource allocation?
Maximizing network throughput only
Minimizing energy consumption while maintaining QoS
Increasing hardware complexity
Eliminating the need for optimization algorithms
Which RL component provides feedback on energy efficiency and system performance?
State
Action
Reward
Transition
Why is Reinforcement Learning suitable for energy-efficient resource allocation in wireless networks?
It requires complete system models
It adapts to dynamic and uncertain environments
It avoids learning from experience
It works only for static networks
Which performance metric is most relevant in energy-efficient resource allocation?
Energy per bit
CPU clock speed
Number of users only
Signal bandwidth
What does a Non-Terrestrial Network (NTN) in 6G primarily include?
Only terrestrial base stations
Satellites, HAPS, and UAVs
Optical fiber networks
Wired sensor networks
Which non-terrestrial platform typically operates at the highest altitude?
UAV
HAPS
LEO satellite
Ground relay
Why is AI particularly important for power management in NTNs?
NTNs have static channel conditions
Manual control is efficient
NTNs experience highly dynamic topology and channel variations
Power resources are unlimited
The primary role of 6G in smart cities is to:
Replace all wired networks
Enable intelligent, ultra-connected, and sustainable urban services
Increase energy consumption
Eliminate IoT devices
AI integration in 6G-enabled smart cities is mainly used to:
Increase manual monitoring
Reduce data analytics
Optimize resource usage and automate decision-making
Disable real-time services
Which 6G technology supports real-time analytics close to IoT devices in smart cities?
Centralized cloud computing only
Batch processing
Offline data storage
Edge AI and edge computing
Which 6G feature is MOST critical for large-scale IoT deployment in smart cities?
Ultra-low latency and massive connectivity
High hardware cost
Fixed network topology
Manual network control
Which AI technique is MOST suitable for real-time slice resource optimization?
Supervised learning
Rule-based systems
Manual configuration
Reinforcement learning
Which 6G service type requires ultra-low latency and high reliability?
eMBB
mMTC
URLLC
Best-effort services
The main role of AI in network slicing for 6G is to:
Increase network complexity
Automate and optimize slice management dynamically
Eliminate virtualization
Fix resource allocation permanently
Which 6G architecture component enables flexible network slicing?
Legacy circuit switching
Network Function Virtualization (NFV)
Fixed hardware appliances
Analog communication
