A Meta-DDPG Algorithm for Energy and Spectral Efficiency Optimization in STAR-RIS-Aided SWIPT
This letter studies a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted wireless system where a multi-antenna base station (BS) transmits both […]
On the Uplink Traffic Distribution in Time for Duty-cycle Constrained LoRaWAN Networks
In the recent years, the LoRaWAN Low Power Wide Area Network (LPWAN) technology became a critical connectivity enabler for many Internet of […]
Minimizing Average On-Demand AoI in an IoT Network with Energy Harvesting Sensors
Delivering timely status information of a random process has become increasingly important for time-sensitive applications, e.g., vehicle tracking and environment monitoring. We […]
A novel experimental design of a real-time VR tracking device
Virtual Reality (VR) is progressively adopted at different stages of design and product development. Consequently, evolving interaction requirements in engineering design and […]
Passive RIS vs. Hybrid RIS
The reconfigurable intelligent surface (RIS) plays an important role in maintaining the connectivity in millimeter wave (mmWave) MIMO systems when the direct […]
LoRaWANSim
Among the low power wide area network communication protocols for large scale Internet of Things, LoRaWAN is considered one of the most […]
Impacts on the Output Power of Photovoltaics on Top of Electric and Hybrid Electric Vehicles
This paper investigates the potential output power of a photovoltaic (PV) installation on top of battery-powered electric vehicles (BEVs) and hybrid electric […]
A Tool for Developing Collaborative Sensing and Cognitive MAC Layer Solutions for 5G in Rural Areas
The 5G mobile networks will increase the amount of available spectrum by using new licensed and unlicensed bands. However, most of the […]
Calculating the output power of photovoltaic cells on top of electric and hybrid electric vehicles
This paper investigates the potential output power of a photovoltaic (PV) installation on top of battery-powered electric vehicles (BEVs) and hybrid electric […]
Modeling IoT Equipment With Graph Neural Networks
Traditional neural networks usually concentrate on temporal data in system simulation, and lack of capabilities to reason inner logic relations between different […]