Meta Reinforcement Learning for Resource Allocation in Aerial Active-RIS-Assisted Networks With Rate-Splitting Multiple Access
Mounting a reconfigurable intelligent surface (RIS) on an unmanned aerial vehicle (UAV) holds promise for improving traditional terrestrial network performance. Unlike conventional […]
Hardware Aspects of Sub-THz Antennas and Reconfigurable Intelligent Surfaces for 6G Communications
The need for unrestricted, high-quality, and high-speed communications in planned sixth generation (6G) wireless systems drives the development and research towards the […]
Secure Beamforming in Multi-User Multi-IRS Millimeter Wave Systems
We study the secrecy rate maximization problem in a millimeter wave (mmWave) network, consisting of a base station (BS), multiple intelligent reflecting […]
Resource Management for Multiplexing eMBB and URLLC Services Over RIS-Aided THz Communication
Integrating the multitude of emerging internet of things (IoT) applications with diverse requirements in beyond fifth generation (B5G) networks necessitates the coexistence […]
Deep Reinforcement Learning for Practical Phase-Shift Optimization in RIS-Aided MISO URLLC Systems
We study the joint active/passive beamforming and channel blocklength (CBL) allocation in a nonideal reconfigurable intelligent surface (RIS)-aided ultrareliable and low-latency communication […]
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces
The emerging technology of reconfigurable intelligent surfaces (RISs) is provisioned as an enabler of smart wireless environments offering a highly scalable low-cost […]
Joint Sum Rate and Blocklength Optimization in RIS-aided Short Packet URLLC Systems
In this paper a multi-objective optimization problem (MOOP) is proposed for maximizing the achievable finite blocklength (FBL) rate while minimizing the utilized […]