It is envisioned that 6G, unlike its predecessor 5G, will depart from connected machines and connected people to connected intelligence. The main goal of 6G networks is to support …
S Park, JP Kim, C Park, S Jung… - IEEE Communications …, 2023 - ieeexplore.ieee.org
For Industry 4.0 Revolution, cooperative autonomous mobility systems are widely used based on multi-agent reinforcement learning (MARL). However, the MARL-based algorithms …
Immersive and mission-critical data-driven applications, such as virtual or augmented reality, tactile Internet, industrial automation, and autonomous mobility, are creating unprecedented …
Optimal MIMO detection is one of the most computationally challenging tasks in wireless systems. We show that new analog computing approaches, such as Coherent Ising …
T Ohyama, Y Kawamoto, N Kato - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surfaces (IRSs) have attracted attention as a technology that can considerably improve the energy utilization efficiency of sixth-generation (6G) mobile …
QJ Lim, C Ross, A Ghosh, F Vook… - … on Antennas and …, 2023 - ieeexplore.ieee.org
We have recently seen a surge in interest in leveraging reconfigurable intelligent surfaces (RISs) in smart radio environments. One critical question is how to efficiently optimize the …
Context The emergence of 6 G technology heralds a groundbreaking era in digital connectivity, envisaging universal and seamless links. To address the intricate …
B Narottama, Z Mohamed… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
A comprehensive coverage of the state-of-the-art in quantum machine learning (QML) methodologies, with a unique perspective on their applications for wireless communications …
Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has …