Deep learning based cooperative resource allocation in 5G wireless networks

D Huang, Y Gao, Y Li, M Hou, W Tang, S Cheng… - Mobile Networks and …, 2022 - Springer
Wireless personal communication has become popular with the rapid development of 5G
communication systems. Critical demands on transmission speed and QoS make it difficult …

Predicting path loss distributions of a wireless communication system for multiple base station altitudes from satellite images

I Shoer, BK Gunturk, HF Ates… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future
communication systems. Optimum positioning of UAVs, serving as base stations, can be …

Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights

MB Driss, E Sabir, H Elbiaze, W Saad - arXiv preprint arXiv:2312.04688, 2023 - arxiv.org
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …

Advanced channel coding schemes for B5G/6G networks: State‐of‐the‐art analysis, research challenges and future directions

A Gautam, P Thakur, G Singh - International Journal of …, 2024 - Wiley Online Library
As a consequence of continuing demand for additional capacity and higher quality data
transmission, channel coding as a key component of a digital communication network has …

Integration of AI/Ml in 5G Technology toward Intelligent Connectivity, Security, and Challenges

D Pradhan, PK Sahu, HM Tun… - … and Applications in …, 2023 - api.taylorfrancis.com
In the ceaselessly developing correspondence organization engineering, to coordinate
different scopes of gadgets with remarkable prerequisites for an alternate organization …

Opportunistic resource scheduling for LTE-unlicensed with hybrid communications modes

X Huang, C Cao, Y Li, Q Chen - IEEE Access, 2018 - ieeexplore.ieee.org
The rapidly increasing amounts of mobile traffic have brought new challenges on the limited
spectrum resource. LTE on the unlicensed band, namely, LTE-U, under the carrier …

A survey on long term evolution scheduling in data mining

D Mohan, GM Amalanathan - Wireless Personal Communications, 2018 - Springer
Scheduling procedures implemented in wireless networks consists of varied workflows such
as resource allocation, channel gain improvement, and reduction in packet arrival delay …

Enhancing qos of network traffic based on 5g wireless networking using machine learning approaches

S Saini, SK Garg, PP Singh, A Ali, A Pandey - International Conference on …, 2022 - Springer
Abstract 5G wireless networks are based on heterogeneous networks. Heterogeneous
networks offer a higher quality of service (QoS) and let you better utilize the resources of the …

Deep learning based efficient channel allocation algorithm for next generation cellular networks

D Sreenivasulu, PV Krishna - Programming and Computer Software, 2018 - Springer
The usage of mobile nodes is increasing very rapidly and so it is very essential to have an
efficient channel allocation procedure for the next generation cellular networks. It is very …

Massive MIMO Channel Estimation with Convolutional Neural Network Structures

L Carro-Calvo, A de la Fuente, A Melgar… - Authorea …, 2024 - techrxiv.org
Massive multiple-input-multiple-output (mMIMO) enables a significant increase in capacity in
fifth-generation (5G) communications systems, both in beamforming and spatial multiplexing …