Using unmanned aerial vehicles (UAVs) to collect data in wireless sensor networks (WSNs) has advantages of controllable mobility and flexible deployment. However, there are potential challenges of energy limitation and data security which may limit suc…
The present paper proposes a secure design of the energy-efficient multi-modular exponential techniques that use store and reward method and store and forward method. Computation of the multi-modular exponentiation can be performed by three novel algor…
For the problem of multiplexing multimodal vortex electromagnetic waves, a double-ring concentric uniform circular array (CUCA) consisting of 12 circularly polarized antennas (4 inner rings and 8 outer rings) is proposed in this paper. A complex feedin…
Fifth generation (5G) cellular networks intend to overcome the challenging demands posed by dynamic service quality requirements, which are not achieved by single network technology. The future cellular networks require efficient resource allocation an…
Array imperfections will lead to serious performance degradation of the deep neural network (DNN) based direction of arrival (DOA) estimation in the low earth orbit (LEO) satellite communication by producing a mismatch between inference data and traini…
In this paper, we propose a transmission scheme for uplink and downlink transmissions, where the fifth generation (5G) low-density parity-check (LDPC) codes are implemented for error correction. In the proposed scheme, the acknowledgment (ACK) or negat…
Predictive beamforming design is an essential task in realizing high-mobility integrated sensing and communication (ISAC), which highly depends on the accuracy of the channel prediction (CP), i.e., predicting the angular parameters of users. However, t…
This paper investigates the reliability problem of airborne free-space optical (FSO) communications, and a hybrid FSO/radio frequency (RF) communication system with parallel transmission is proposed, where the data stream is transmitted over both FSO a…
In recent years, reinforcement learning (RL) has shown high potential for robotic applications. However, RL heavily relies on the reward function, and the agent merely follows the policy to maximize rewards but lacks reasoning ability. As a result, RL …
In this paper, we design a resource management scheme to support stateful applications, which will be prevalent in sixth generation (6G) networks. Different from stateless applications, stateful applications require context data while executing computi…