Breaking the interference and fading gridlock in backscatter communications: State-of-the-art, design challenges, and future directions
As the Internet of Things (IoT) advances by leaps and bounds, a multitude of devices are
becoming interconnected, marking the onset of an era where everything is connected. While …
becoming interconnected, marking the onset of an era where everything is connected. While …
Energy-efficient maximization for RIS-aided MISO symbiotic radio systems
Symbiotic radio (SR) and reconfigurable intelligent surface (RIS) can serve as a
complementary technique for each other regarding spectrum efficiency and energy …
complementary technique for each other regarding spectrum efficiency and energy …
Enhancing spectrum sensing via reconfigurable intelligent surfaces: Passive or active sensing and how many reflecting elements are needed?
Cognitive radio has been suggested as a solution to address the shortage of accessible
spectrum caused by the significant demand for wideband services and the fragmentation of …
spectrum caused by the significant demand for wideband services and the fragmentation of …
QuAsyncFL: Asynchronous federated learning with quantization for cloud-edge-terminal collaboration enabled AIoT
Federated Learning is a promising technique that facilitates cloud–edge–terminal
collaboration in Artificial Intelligence of Things (AIoT). It will enable model training without …
collaboration in Artificial Intelligence of Things (AIoT). It will enable model training without …
Gain without pain: Recycling reflected energy from wireless-powered RIS-aided communications
In this article, we investigate and analyze energy recycling for a reconfigurable intelligent
surface (RIS)-aided wireless-powered communication network. As opposed to the existing …
surface (RIS)-aided wireless-powered communication network. As opposed to the existing …
To reflect or not to reflect: On-off control and number configuration for reflecting elements in RIS-aided wireless systems
Reconfigurable intelligent surface (RIS) has been regarded as a promising technique due to
its high array gain, low cost, and low power. However, the traditional passive RIS suffers …
its high array gain, low cost, and low power. However, the traditional passive RIS suffers …
Performance analysis for resource constrained decentralized federated learning over wireless networks
Federated learning (FL) can generate huge communication overhead for the central server,
which may cause operational challenges. Furthermore, the central server's failure or …
which may cause operational challenges. Furthermore, the central server's failure or …
Joint trajectory and scheduling optimization for age of synchronization minimization in uav-assisted networks with random updates
Unmanned aerial vehicles (UAVs) are attractive in some Internet of Things (IoT)
applications, due to their flexible deployment and extended coverage. In this paper, we …
applications, due to their flexible deployment and extended coverage. In this paper, we …
Accuracy–Security Tradeoff With Balanced Aggregation and Artificial Noise for Wireless Federated Learning
In federated learning (FL), a number of devices train their local models and upload the
corresponding parameters or gradients to the base station (BS) for global model updates …
corresponding parameters or gradients to the base station (BS) for global model updates …
Exploring hybrid active-passive RIS-aided MEC systems: From the mode-switching perspective
Mobile edge computing (MEC) has been regarded as a promising technique to support
latency-sensitivity and computation-intensive serves. However, the low offloading rate …
latency-sensitivity and computation-intensive serves. However, the low offloading rate …