Joint traffic control and multi-channel reassignment for core backbone network in SDN-IoT: a multi-agent deep reinforcement learning approach

T Wu, P Zhou, B Wang, A Li, X Tang… - … on Network Science …, 2020 - ieeexplore.ieee.org
Channel reassignment is to assign again on the assigned channel resources in order to use
the channel resources more efficiently. Channel reassignment in the Software-Defined …

Deep Q-Learning based resource allocation and load balancing in a mobile edge system serving different types of user requests

Ö Yıldız, RI Sokullu - Journal of Electrical Engineering, 2023 - sciendo.com
With the expansion of the communicative and perceptual capabilities of mobile devices in
recent years, the number of complex and high computational applications has also …

RETRACTED ARTICLE: Auto scheduling through distributed reinforcement learning in SDN based IoT environment

Y Wu - EURASIP Journal on Wireless Communications and …, 2023 - Springer
Abstract The Internet of Things (IoT), which is built on software-defined networking (SDN),
employs a paradigm known as channel reassignment. This paradigm has great potential for …

Efficient models for enhancing the link adaptation performance of LTE/LTE-A networks

AA Bin-Salem, TC Wan, H Naeem, M Anbar… - EURASIP Journal on …, 2022 - Springer
Link adaptation (LA) is the ability to adapt the modulation scheme (MS) and the coding rate
of the error correction in accordance with the quality of the radio link. The MS plays an …

[PDF][PDF] BER and Capacity/Spectral Efficiency Enhancement of MIMO Systems Using Digital Antenna Arrays Beamforming

AH Hussein, NM Salem, ME Nasr… - … Research Journal for …, 2021 - academia.edu
Multi-input Multi-output (MIMO) systems are of the most promising ones in the field of
wireless communications as they provide high data rates and reduce the bit error rate (BER) …