Joint Beamforming Design and Bit Allocation in Massive MIMO with Resolution-Adaptive ADCs
Low-resolution analog-to-digital converters (ADCs) have emerged as a promising technology for reducing power consumption and complexity in massive multiple-input multiple-output (MIMO) systems […]
Performance of Heterogeneous NOMA Networks in Impulsive Noise With Transmit Antenna Selection
Switch-Based Hybrid Beamforming Transceiver Design for Wideband Communications With Beam Squint
Hybrid beamforming (HBF) transceiver architectures based on frequency-independent phase shifters (PSs) are sensitive to phases and physical directions, resulting in limited capability […]
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
The age of information (AoI) is used to measure the freshness of the data. In IoT networks, the traditional resource management schemes […]
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss
Transmit antenna muting (TAM) in multiple-user multiple-input multiple-output (MU-MIMO) networks allows reducing the power consumption of the base station (BS) by properly […]
Environment-Aware Joint Active/Passive Beamforming for RIS-Aided Communications Leveraging Channel Knowledge Map
Reconfigurable intelligent surface (RIS)-aided communication is a promising technology for 6G systems to reconfigure the propagation environment proactively. However, it requires efficient […]
Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge
In many emerging Internet of Things (IoT) applications, the freshness of the is an important design criterion. Age of Information (AoI) quantifies […]
An advanced Internet-of-Drones System with Blockchain for improving quality of service of Search and Rescue
Drone-based systems supporting Search and Rescue (SAR) missions help expeditiously improve the possibility of discovering the missing victims. Nonetheless the current drone-based […]
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks. In this regard the Wake-up Signal (WuS) technology which […]
Minimization of the Worst-Case Average Energy Consumption in UAV-Assisted IoT Networks
The Internet of Things (IoT) brings connectivity to a massive number of devices that demand energy-efficient solutions to deal with limited battery […]