Aug 22, 2023 · Simulation results demonstrate the effectiveness of RSMA in mitigating the interference in such multi-functional networks and its capability to ...

Simulation results demonstrate the effectiveness of RSMA in mitigating the interference in such multi-functional networks and its capability to accommodate the ...

Motivated by this, we consider in this work a rate-splitting multiple access (RSMA)-based multifunctional wireless network with sensing, energy harvesting, and ...

p>The upcoming sixth generation (6G) is expected to support a wide range of applications that require efficient sensing, accurate localization, and reliable ...

Deep Reinforcement Learning for RSMA-Based Multi-Functional Wireless Networks. Deep Reinforcement Learning for RSMA-Based Multi-Functional Wireless Networks ...

This work demonstrates the potential of deep reinforcement learning techniques for transmit power control in emerging and future wireless networks. Various ...

Mar 9, 2024 · This study explores the application of the rate-splitting multiple access (RSMA) technique, vital for interference mitigation in modern ...

Leveraging Deep Reinforcement Learning techniques, our approach optimizes sporadic traffic patterns, crafting an adaptable access policy to maximize both ...

Our methodology involves modeling the configuration of vehicular relays and data injection patterns as a Markov decision process, followed by applying deep ...

Deep Reinforcement Learning for RSMA-Based Multi-Functional Wireless Networks ... Piscataway (NJ), Amerikai Egyesült Államok : Institute of Electrical and ...