Sway: Traffic-aware QoS routing in software-defined IoT

N Saha, S Bera, S Misra - IEEE Transactions on Emerging …, 2018 - ieeexplore.ieee.org
In this paper, we propose a traffic-aware quality-of-service (QoS) routing scheme in software-
defined internet of things (SDIoT) network. The proposed scheme exploits the unique …

Enabling multiple power beacons for uplink of NOMA-enabled mobile edge computing in wirelessly powered IoT

DT Do, MS Van Nguyen, TN Nguyen, X Li… - IEEE Access, 2020 - ieeexplore.ieee.org
As a promising technique, power beacon provides ability of wireless energy transfer to
relaying devices in Internet of Things (IoT) to serve far devices with respect to low latency …

Automatic modulation classification for MIMO systems via deep learning and zero-forcing equalization

Y Wang, J Gui, Y Yin, J Wang, J Sun… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is one of the most critical technologies for non-
cooperative communication systems. Recently, deep learning (DL) based AMC (DL-AMC) …

Optimized coherent integration-based radio frequency fingerprinting in Internet of Things

F Xie, H Wen, Y Li, S Chen, L Hu… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
This paper focuses on the security risks in the access authentication of Internet of Things, to
provide an optimized classification algorithm of radio frequency fingerprinting (RFF). The …

Toward integrating software defined networks with the Internet of Things: a review

MA Ja'afreh, H Adhami, AE Alchalabi, M Hoda… - Cluster …, 2022 - Springer
Due to the outbreak of Covid-19 pandemic, activities in most sectors-be it business,
education or even healthcare-are taking place in an online rather than in an inline style, and …

[HTML][HTML] Machine learning in vehicular networking: An overview

K Tan, D Bremner, J Le Kernec, L Zhang… - Digital Communications …, 2022 - Elsevier
As vehicle complexity and road congestion increase, combined with the emergence of
electric vehicles, the need for intelligent transportation systems to improve on-road safety …

Deep learning-based sum data rate and energy efficiency optimization for MIMO-NOMA systems

H Huang, Y Yang, Z Ding, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The increasing demands for massive connectivity, low latency, and high reliability of future
communication networks require new techniques. Multiple-input-multiple-output non …

Downlink transmit power control in ultra-dense UAV network based on mean field game and deep reinforcement learning

L Li, Q Cheng, K Xue, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As an emerging technology in 5G, ultra-dense unmanned aerial vehicles (UAVs) network
can significantly improve the system capacity and networks coverage. However, it is still a …

Parallel offloading in green and sustainable mobile edge computing for delay-constrained IoT system

Y Deng, Z Chen, X Yao, S Hassan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Currently, the Internet of Things (IoT) solutions are playing an important role in numerous
areas, especially in smart homes and buildings, health-care, vehicles, and energy. It will …

Deep learning-based automatic modulation recognition method in the presence of phase offset

J Shi, S Hong, C Cai, Y Wang, H Huang, G Gui - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays an important role in various communications
systems. It has the ability of adaptive modulation and can adapt to various complex …