A survey on essential challenges in relay-aided D2D communication for next-generation cellular networks
Abstract Device-to-device (D2D) communication was originally presented as an efficient
solution to boost conventional cellular network performance. Since the signals degrade …
solution to boost conventional cellular network performance. Since the signals degrade …
面向零功耗物联网的反向散射通信综述
张晓茜， 徐勇军 - 通信学报, 2022 - infocomm-journal.com
物联网能够提升人们的生活质量, 但同时带来能量消耗剧增与网络传输拥堵的问题. 为此,
面向零功耗物联网的反向散射通信技术被提出, 分析与研究该技术的发展现状及所面临的技术 …
面向零功耗物联网的反向散射通信技术被提出, 分析与研究该技术的发展现状及所面临的技术 …
Aerial intelligent reflecting surface-enabled terahertz covert communications in beyond-5G Internet of Things
MT Mamaghani, Y Hong - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are envisioned to be extensively employed for assisting
wireless communications in the Internet of Things (IoT). On the other hand, terahertz (THz) …
wireless communications in the Internet of Things (IoT). On the other hand, terahertz (THz) …
A UAV-assisted search and localization strategy in non-line-of-sight scenarios
Recently, unmanned aerial vehicle (UAV)-assisted ground targets localization is widely
used in search and rescue (SAR) scenes. In this article, we propose a UAV search and …
used in search and rescue (SAR) scenes. In this article, we propose a UAV search and …
Energy-efficient guiding-network-based routing for underwater wireless sensor networks
Z Liu, X Jin, Y Yang, K Ma… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the increasing underwater applications, underwater wireless sensor networks (UWSNs)
have become a research hotspot. Routing protocols used to keep network connectivity and …
have become a research hotspot. Routing protocols used to keep network connectivity and …
Resource allocation for UAV-aided energy harvesting-powered D2D communications: A reinforcement learning-based scheme
YH Xu, QM Sun, W Zhou, G Yu - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has become one of the most significant
component in future wireless networks since its on-demand and cost-effective deployment …
component in future wireless networks since its on-demand and cost-effective deployment …
Blockchain-based resource trading in multi-UAV-assisted industrial IoT networks: A multi-agent DRL approach
With the Industrial Internet of Things (IIoT), mobile devices (MDs) and their demands for low-
latency data communication are increasing. Due to the limited resources of MDs, such as …
latency data communication are increasing. Due to the limited resources of MDs, such as …
Data-driven flight control of internet-of-drones for sensor data aggregation using multi-agent deep reinforcement learning
Energy-harvesting-powered sensors are increasingly deployed beyond the reach of
terrestrial gateways, where there is often no persistent power supply. Making use of the …
terrestrial gateways, where there is often no persistent power supply. Making use of the …
Resource allocation in D2D enabled vehicular communications: A robust stackelberg game approach based on price-penalty mechanism
This paper studies how to apply game theory to realize a well-function device-to-device
enabled vehicular (D2D-V) communication system, where the uplink channel allocated to …
enabled vehicular (D2D-V) communication system, where the uplink channel allocated to …
-Learning Aided Intelligent Routing With Maximum Utility in Cognitive UAV Swarm for Emergency Communications
This article studies the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm
(CU-SWARM), which employs the cognitive radio into a swarm of UAVs within a three-layer …
(CU-SWARM), which employs the cognitive radio into a swarm of UAVs within a three-layer …