Quantum deep learning is a research field for the use of quantum computing techniques for
training deep neural networks. The research topics and directions of deep learning and …

The great achievements in electronics, automation, and digital communication technologies
in the sixth-generation (6G) era has significantly accelerated the development of smart …

This paper proposes a cloud-assisted joint charging scheduling and energy management
framework for unmanned aerial vehicle (UAV) networks. For charging the UAVs those are …

Long-Range Wide-Area Network (LoRaWAN) enables flexible long-range service
communications with low power consumption which is suitable for many IoT applications …

Aerial networks have been widely considered a crucial component for ubiquitous coverage
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …

Mobile chargers (MCs) equipped with radio-frequency (RF)-based wireless power transfer
(WPT) modules have been suggested as a possible solution to battery constraints in …

Improving the communication of Internet of Things (IoT) network is a challenging task as it
connects a wide-range of heterogeneous mobile devices. With an extended support from …

With new technologies coming to the market, the Internet of Things (IoT) is one of the
technologies that has gained exponential rise by facilitating Machine to Machine (M2M) …

Due to geographical factors and resource constraints, the traditional Internet architecture
cannot meet the needs of the space–air–ground-integrated network (SAGIN) resource layout …

Rate-splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS)
techniques show promise in enhancing spectral efficiency in sixth-generation Internet of …