Interference-aware path planning optimization for multiple UAVs in beyond 5G networks

J Lee, V Friderikos - Journal of Communications and Networks, 2022‏ - ieeexplore.ieee.org
Integrating unmanned aerial vehicles (UAVs) as flying base stations (FBSs) is expected to
be an important architectural element in the beyond 5G/6G mobile wireless networks. A key …

[HTML][HTML] A cognitive spectrum allocation scheme for data transmission in smart distribution grids

Z Zhou, Y Li, Z Zhu, Q Gao, S **ao, T Yan… - High-Confidence …, 2024‏ - Elsevier
As the communication needs in the smart distribution grid continue to rise, using existing
resources to meet this growing demand poses a significant challenge. This paper …

Peak age of information minimization for integrated sensing, communication and computation in IoV

T **g, L Tan, Q Gao, Y Wu, X Li… - 2023 IEEE 20th …, 2023‏ - ieeexplore.ieee.org
Integrated sensing and communication (ISAC) has been regarded as a promising
technology in Internet of Vehicles (IoV). The freshness of data in IoV is significant for some …

Fairness‐aware eMBB/URLLC spectrum resource multiplexing to ensure reliability in vehicular networks

M Li, L Wang, X Wang, Y Lin, J Du… - Transactions on …, 2024‏ - Wiley Online Library
Spectrum resource multiplexing of enhanced Mobile BroadBand (eMBB) and Ultra‐Reliable
and Low Latency Communications (URLLC) via puncturing in vehicular networks has …

Hybrid Precoding Algorithm for Millimeter‐Wave Massive MIMO Systems with Subconnection Structures

X Zhang, F Zhao - Wireless Communications and Mobile …, 2021‏ - Wiley Online Library
In mmWave massive MIMO systems, traditional digital precoding is difficult to be
implemented because of the high cost and energy consumption of RF chains. Fortunately …

[HTML][HTML] In-network data aggregation for ad hoc clustered cognitive radio wireless sensor network

MR Mortada, A Nasser, A Mansour, KC Yao - Sensors, 2021‏ - mdpi.com
In cognitive radio wireless sensor networks (CRSN), the nodes act as secondary users.
Therefore, they can access a channel whenever its primary user (PU) is absent. Thus, the …

Sensory data aggregation in Internet of Things: Period-driven pipeline scheduling approach

TD Nguyen, DT Le, H Choo - IEEE Transactions on Mobile …, 2021‏ - ieeexplore.ieee.org
The Smart City contexts and the adoption of Industry 4.0 are being upgraded with the latest
technologies throughout all systems. New data are continuously collected in huge amounts; …

Deep learning based MIMO transmission with precoding and radio transformer networks

W Cui, A Dong, Y Cao, C Zhang, J Yu, S Li - Procedia Computer Science, 2021‏ - Elsevier
In this paper, we study MIMO transmission schemes based on deep learning (DL). We
propose a novel DL-based MIMO communication structure by combing a beamforming …

Low-Delay Ultra-Small Packet Transmission With In-Network Aggregation via Distributed Stochastic Learning

N Zhang, W Wang, X **n, Y Liu… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
In-network aggregation is a fundamental operation for massive packets in the Internet of
Things (IoT). By aggregating ultra-small packets, the energy consumption for data …

An Adaptive Sampling Strategy for Federal Graph Neural Networks in Internet of Things

T Wang, X Zheng, L Yang… - 2023 IEEE International …, 2023‏ - ieeexplore.ieee.org
The Internet of Thing systems have contributed a considerable scale of graphs via numerous
devices, like the network topology. These graph data are used in wireless communication …