Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

Artificial intelligence for 6G networks: Technology advancement and standardization

MK Shehzad, L Rose, MM Butt… - IEEE Vehicular …, 2022 - ieeexplore.ieee.org
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

[HTML][HTML] Machine learning and intelligent communications

XL Huang, X Ma, F Hu - Mobile Networks and Applications, 2018 - Springer
Along with the fast developing of mobile communications technologies, the amount of high
quality wireless services is required and increasing exponentially. According to the …

A survey of machine learning algorithms for 6G wireless networks

A Patil, S Iyer, RJ Pandya - arXiv preprint arXiv:2203.08429, 2022 - arxiv.org
The primary focus of Artificial Intelligence/Machine Learning (AI/ML) integration within the
wireless technology is to reduce capital expenditures, optimize network performance, and …

A study on the adoption of wireless communication in big data analytics using neural networks and deep learning

P Rohini, S Tripathi, CM Preeti… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The study explores about the Wireless communication which is one of the most rapidly
evolving and active technology fields in the communication world. Wireless communication …

Applications of machine learning in networking: a survey of current issues and future challenges

MA Ridwan, NAM Radzi, F Abdullah, YE Jalil - IEEE access, 2021 - ieeexplore.ieee.org
Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …

A flexible machine-learning-aware architecture for future WLANs

F Wilhelmi, S Barrachina-Muñoz… - IEEE …, 2020 - ieeexplore.ieee.org
Lots of hopes have been placed on machine learning (ML) as a key enabler of future
wireless networks. By taking advantage of large volumes of data, ML is expected to deal with …

[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …