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A tutorial on UAVs for wireless networks: Applications, challenges, and open problems
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 …
drones, is rapidly growing. In particular, with their inherent attributes such as mobility …
Artificial neural networks-based machine learning for wireless networks: A tutorial
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
Ultra-dense networks: A survey
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
(CRANs). In the studied model, the baseband units (BBUs) can predict the content request …