Cloud-enabled high-altitude platform systems: Challenges and opportunities
Augmenting ground-level communications with flying networks, such as the high-altitude
platform system (HAPS), is among the major innovative initiatives of the next generation of …
platform system (HAPS), is among the major innovative initiatives of the next generation of …
Machine learning with gradient-based optimization of nuclear waste vitrification with uncertainties and constraints
Gekko is an optimization suite in Python that solves optimization problems involving mixed-
integer, nonlinear, and differential equations. The purpose of this study is to integrate …
integer, nonlinear, and differential equations. The purpose of this study is to integrate …
Machine learning-based user scheduling in integrated satellite-haps-ground networks
Integrated space-air-ground networks promise to offer a valuable solution space for
empowering the sixth generation of communication networks (6G), particularly in the context …
empowering the sixth generation of communication networks (6G), particularly in the context …
Toward Immersive Underwater Cloud-Enabled Networks: Prospects and Challenges
R Alghamdi, H Dahrouj, T Al-Naffouri… - IEEE BITS the …, 2023 - ieeexplore.ieee.org
Underwater engineering significantly increases the liveability and sustainability of our
planet's ecosystems. Enhancing the connectivity of ocean-based engineering systems and …
planet's ecosystems. Enhancing the connectivity of ocean-based engineering systems and …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Exploration of despair eccentricities based on scale metrics with feature sampling using a deep learning algorithm
The majority of people in the modern biosphere struggle with depression as a result of the
coronavirus pandemic's impact, which has adversely impacted mental health without …
coronavirus pandemic's impact, which has adversely impacted mental health without …
A review on principles, performance and complexity of linear estimation and detection techniques for MIMO systems
D Gaspar, LL Mendes, TC Pimenta - Frontiers in Communications and …, 2023 - frontiersin.org
The advent of the fifth generation (5G) of mobile networks has introduced several new use
cases that are pushing mobile networks in environments that are typically supported by …
cases that are pushing mobile networks in environments that are typically supported by …
Deep Reinforcement Learning Enhanced Rate-Splitting Multiple Access for Interference Mitigation
This study explores the application of the rate-splitting multiple access (RSMA) technique,
vital for interference mitigation in modern communication systems. It investigates the use of …
vital for interference mitigation in modern communication systems. It investigates the use of …
Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects
H Salem, MD Quamar, A Mansoor, M Elrashidy… - arXiv preprint arXiv …, 2023 - arxiv.org
Integrated Sensing and Communication (ISAC), combined with data-driven approaches, has
emerged as a highly significant field, garnering considerable attention from academia and …
emerged as a highly significant field, garnering considerable attention from academia and …
Distributed resource management in downlink cache-enabled multi-cloud radio access networks
A compound of several clouds, jointly managing large-scale inter-cloud and intra-cloud
interference, promises to be a practical solution to account for the ambitious premises of …
interference, promises to be a practical solution to account for the ambitious premises of …