The recent developments in the research area of wireless communication and network technologies have shown a significant shift towards enhancing efficiency, sustainability, and robustness. There is a growing emphasis on leveraging advanced technologies such as machine learning, digital twins, and artificial intelligence to optimize network operations and improve decision-making processes. The integration of these technologies is being explored to address challenges such as interference management, power allocation, and predictive analytics for wireless link behavior. Additionally, there is a notable focus on the sustainability of network operations, with studies investigating eco-friendly solutions like backscatter communications and the application of AI in network planning for smart cities. The field is also witnessing innovations in handover procedures, particularly in 5G systems, where machine learning is being utilized to enhance the efficiency and robustness of handover processes. Furthermore, the concept of multi-link operation in Wi-Fi networks is gaining traction, promising to improve throughput and reduce latency, which is crucial for industrial applications. Overall, the research is moving towards creating more intelligent, adaptive, and sustainable network solutions that can meet the demands of future wireless communication systems.
Intelligent and Sustainable Network Innovations in Wireless Communication
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The role of broadband connectivity in achieving Sustainable Development Goals (SDGs)
Early-Scheduled Handover Preparation in 5G NR Millimeter-Wave Systems
Power Allocation for Compute-and-Forward over Fading Channels
A Graph-based Strategic Sensor Deployment Approach for k-coverage in WSN
Jointly Optimizing Power Allocation and Device Association for Robust IoT Networks under Infeasible Circumstances
Path Assignment in Mesh Networks at the Edge of Wireless Networks
To Adopt or Not to Adopt L4S-compatible Congestion Control? Understanding Performance in a Partial L4S Deployment
Digital Twin for Advanced Network Planning: Tackling Interference
Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
Information Rates of Channels with Additive White Cauchy Noise
COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modeling
A New Finite-Horizon Dynamic Programming Analysis of Nonanticipative Rate-Distortion Function for Markov Sources
A Software Platform for Testing Multi-Link Operation in Industrial Wi-Fi Networks
On the Accuracy and Precision of Moving Averages to Estimate Wi-Fi Link Quality
Age of Information Minimization in UAV-Assisted Covert Communication: Trajectory and Beamforming Design
Meeting Future Mobile Traffic Needs by Peak-Throughput Design of Next-Gen RAN
Wireless Sensor Networks based on TSCH/TDMA with Power Consumption and Latency Constraints
Probabilistic Trust-Based Enhancement for simultaneous transmission in AOMDV Routing Protocol
Geometry-informed Channel Statistics Prediction Based upon Uncalibrated Digital Twins
Eco-Friendly 0G Networks: Unlocking the Power of Backscatter Communications for a Greener Future
Packet Steering Mechanisms for MLO in Wi-Fi 7
Towards Smart Fronthauling Management: Experimental Insights from a 5G Testbed
Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities
Sustainability concepts for digital research infrastructures developed through ground-level stakeholder empowerment