Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

This paper provides a comprehensive survey on recent advances in deep learning (DL)
techniques for the channel coding problems. Inspired by the recent successes of DL in a …

Owing to its outstanding parallel computing capabilities, quantum computing (QC) has been
a subject of continuous attention. With the gradual maturation of QC platforms, it has …

This study proposes the utilization of quantum machine learning (QML) to maximize the
energy efficiency of reconfigurable intelligent surface (RIS) assisted communication with rate …

Collaboration is a key challenge in distributed multi-agent reinforcement learning (MARL)
environments. Learning frameworks for these decentralized systems must weigh the benefits …

Abstract 6G frameworks will be able to utilize higher frequencies than 5G frameworks and
provide altogether higher capacity and much lower latency. First, 6G network input signals …

The rapid advancement of quantum computing provides unprecedented opportunities for the
optimization of multiple-input, multiple-output (MIMO) systems. This paper investigates the …