The big-data-driven intelligent wireless network: architecture, use cases, solutions, and future trends
I Chih-Lin, Q Sun, Z Liu, S Zhang… - IEEE vehicular …, 2017 - ieeexplore.ieee.org
The concept of using big data (BD) for wireless communication network optimization is no
longer new. However, previous work has primarily focused on long-term policies in the …
longer new. However, previous work has primarily focused on long-term policies in the …
Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks
The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …
the very diversified service requirements, heterogeneity in applications, devices, and …
On big data analytics for greener and softer RAN
Big data analytics applied to signaling, traffic, and wireless environment data in mobile
communication networks can help realize autonomous network optimization and build big …
communication networks can help realize autonomous network optimization and build big …
Wireless big data: transforming heterogeneous networks to smart networks
Abstract In HetNets (Heterogeneous Networks), each network is allocated with fixed
spectrum resource and provides service to its assigned users using specific RAT (Radio …
spectrum resource and provides service to its assigned users using specific RAT (Radio …
Deep learning for wireless networking: The next frontier
With the growth of mobile technology in the last decade, wireless networks have become an
integral part of our everyday lives. To meet the increasingly stringent application …
integral part of our everyday lives. To meet the increasingly stringent application …
AI-enabled future wireless networks: Challenges, opportunities, and open issues
M Elsayed, M Erol-Kantarci - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …
in the way future wireless network resources are managed. Indeed, when application …
Machine intelligence techniques for next-generation context-aware wireless networks
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
When machine learning meets big data: A wireless communication perspective
We have witnessed an exponential growth in commercial data services, which has led to the
so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …
so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …
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 …
makes mobile technology very popular among users. Due to this popularity, there has been …
Knowledge-driven deep learning paradigms for wireless network optimization in 6G
In the sixth-generation (6G) networks, newly emerging diversified services of massive users
in dynamic network environments are required to be satisfied by multi-dimensional …
in dynamic network environments are required to be satisfied by multi-dimensional …