A tutorial on UAVs for wireless networks: Applications, challenges, and open problems

M Mozaffari, W Saad, M Bennis… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as
drones, is rapidly growing. In particular, with their inherent attributes such as mobility …

Artificial neural networks-based machine learning for wireless networks: A tutorial

M Chen, U Challita, W Saad, C Yin… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

Ultra-dense networks: A survey

M Kamel, W Hamouda… - … Communications surveys & …, 2016 - ieeexplore.ieee.org
The exponential growth and availability of data in all forms is the main booster to the
continuing evolution in the communications industry. The popularization of traffic-intensive …

Caching in the sky: Proactive deployment of cache-enabled unmanned aerial vehicles for optimized quality-of-experience

M Chen, M Mozaffari, W Saad, C Yin… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
In this paper, the problem of proactive deployment of cache-enabled unmanned aerial
vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud …

User association in 5G networks: A survey and an outlook

D Liu, L Wang, Y Chen, M Elkashlan… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
The fifth generation (5G) mobile networks are envisioned to support the deluge of data traffic
with reduced energy consumption and improved quality of service (QoS) provision. To this …

Joint communication, computation, caching, and control in big data multi-access edge computing

A Ndikumana, NH Tran, TM Ho, Z Han… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The concept of Multi-access Edge Computing (MEC) has been recently introduced to
supplement cloud computing by deploying MEC servers to the network edge so as to reduce …

[PDF][PDF] Machine learning for wireless networks with artificial intelligence: A tutorial on neural networks

M Chen, U Challita, W Saad, C Yin… - arxiv preprint arxiv …, 2017 - researchgate.net
Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques

N Bui, M Cesana, SA Hosseini, Q Liao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

Content service oriented resource allocation for space–air–ground integrated 6G networks: A three-sided cyclic matching approach

P Qin, M Wang, X Zhao, S Geng - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Since the existing terrestrial fifth generation (5G) network has limited coverage, it is difficult
to meet the growing demand for seamless network connection. Meanwhile, current network …

Echo state networks for proactive caching in cloud-based radio access networks with mobile users

M Chen, W Saad, C Yin… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, the problem of proactive caching is studied for cloud radio access networks
(CRANs). In the studied model, the baseband units (BBUs) can predict the content request …