This book constitutes the refereed proceedings of the 8th International Symposium, UNet 2022, held in Montreal, QC, Canada, during October 2527, 2022.
The 17 full papers included in this book were carefully reviewed and selected from 43 submissions. Moreover, 4 additional invited papers have been also considered. They were organized in topical sections as follows: ?Spectrum Management and Channel Prediction, Resource Allocation in 5G/6G, Internet of Things and Vehicular Communications, Artificial Intelligence-Driven Communications, Pervasive Services and Cyber Security.
Spectrum Management and Channel Prediction.- On the Influence of
Microscopic Mobility in Modelling Pedestrian Communication.- Low Profile CPW
Fed Tri-Band Millimeter Wave Antenna Design for Future 5G
Application.- Trading off Controlled System Energy and Wireless Communication
Energy.- Statistical Moments of the Temporal Spectrum of Electromagnetic
Waves in the Equatorial Ionosphere.- Resource Allocation in 5G/6G.- Towards
Facilitating URLLC in UAV-Enabled MEC Systems for 6G Networks.- Resource
Allocation and Power Control for Heterogeneous Cellular Network and D2D
Communications.- Optimized Network Coding With Real-Time Loss Prediction for
Hybrid 5G Networks.- TCP-RTA: Real-Time Topology Adaptiveness for Congestion
Control in TCP.- Rio_DSA: Redirecting I/O Scheme for Dynamic Storage
Allocation on Docker Container.- Internet of Things and Vehicular
Communications.- VANET-Based Traffic Light Management foran Emergency
Vehicle.- Deep Reinforcement Learning to Improve Vehicle-to-Vulnerable Road
User Communications in C-V2X.- Pervasive Computing for Efficient Intra-UAV
Connectivity: Based on Context-Awareness.- Road Accident Analysis of Dhaka
City Using Counter Propagation Network.- Artificial Intelligence-Driven
Communications.- Reinforcement Learning for Protocol Synthesis in
Resource-Constrained Wireless Sensor and IoT Networks.- Distributional
Reinforcement Learning for VoLTE Closed Loop Power Control in Indoor Small
Cells.- Reinforcement Learning Aided Routing in Tactical Wireless Sensor
Networks.- A Green and Scalable Clustering for Massive IoT Sensors with
Selective Deactivation.- Pervasive Services and Cyber Security.- Threat
Mitigation Model With Low False Alarm Rate Based on Hybrid Deep Belief
Network.- On Feature Selection Algorithms for Effective Botnet Detection.- A
Novel Hybrid Deep Learning Model for Crop Disease Detection Using
BEGAN.- Multivariate Skewness and Kurtosis for Detecting Wormhole Attack in
VANETs.
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