The applicability of reinforcement learning methods in the development of industry 4.0 applications

T Kegyes, Z Süle, J Abonyi - Complexity, 2021 - Wiley Online Library
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Buffer-aided relay selection for cooperative hybrid NOMA/OMA networks with asynchronous deep reinforcement learning

C Huang, G Chen, Y Gong, P Xu, Z Han… - IEEE journal on …, 2021 - ieeexplore.ieee.org
This paper investigates asynchronous reinforcement learning algorithms for joint buffer-
aided relay selection and power allocation in the non-orthogonal-multiple-access (NOMA) …

Joint buffer-aided hybrid-duplex relay selection and power allocation for secure cognitive networks with double deep Q-network

C Huang, G Chen, Y Gong… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
This paper applies the reinforcement learning in the joint relay selection and power
allocation in the secure cognitive radio (CR) relay network, where the data buffers and full …

A survey on LTE/LTE-A radio resource allocation techniques for machine-to-machine communication for B5G networks

U Singh, A Dua, S Tanwar, N Kumar, M Alazab - IEEE Access, 2021 - ieeexplore.ieee.org
Machine-to-Machine (M2M) communication refers to autonomous communication among
devices that aims for a massive number of connected devices. M2M communication can …

Resilient communication model for satellite networks using clustering technique

S Geng, S Liu, Z Fang - Reliability Engineering & System Safety, 2021 - Elsevier
Satellite networks are regarded as significant communication infrastructures to provide high-
quality services. With global coverage and flexible deployment, they are able to transfer data …

Low-complexity heuristic algorithm for power allocation and access mode selection in M2M networks

T Ahmad, R Chai, M Adnan… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
A hybrid or coexisting orthogonal frequency-division multiple access (OFDMA) and
nonorthogonal multiple access (NOMA) scheme is a promising approach to greatly enhance …

机器类通信中集中式与分布式Q 学习的资源分配算法研究

余云河, 孙君 - 电信科学, 2021 - infocomm-journal.com
针对海量机器类通信(massive machine type communication, mMTC) 场景,
以最大化系统吞吐量为目标, 且在保证部分机器类通信设备(machine type communication …

[PDF][PDF] Sis bilişim ve IoT tabanlı sağlık ve taktik analiz izleme modeli

A Karakaya - 2021 - 193.140.28.15
Spor müsabakalarında sporcular için maç esnasında heyecan, stres, yorgunluk gibi
koşullara bağlı olarak sakatlık veya taktiksel zafiyet gibi olumsuz sonuçlar ortaya …