Application of machine learning in wireless networks: Key techniques and open issues
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …
solving complex problems without explicit programming. Motivated by its successful …
On mobile edge caching
With the widespread adoption of various mobile applications, the amount of traffic in wireless
networks is growing at an exponential rate, which exerts a great burden on mobile core …
networks is growing at an exponential rate, which exerts a great burden on mobile core …
Liquid state machine learning for resource and cache management in LTE-U unmanned aerial vehicle (UAV) networks
In this paper, the problem of joint caching and resource allocation is investigated for a
network of cache-enabled unmanned aerial vehicles (UAVs) that service wireless ground …
network of cache-enabled unmanned aerial vehicles (UAVs) that service wireless ground …
Echo-liquid state deep learning for 360° content transmission and caching in wireless VR networks with cellular-connected UAVs
In this paper, the problem of content caching and transmission is studied for a wireless
virtual reality (VR) network in which cellular-connected unmanned aerial vehicles (UAVs) …
virtual reality (VR) network in which cellular-connected unmanned aerial vehicles (UAVs) …
A survey on integrated access and backhaul networks
Benefiting from the usage of the high-frequency band, utilizing part of the large available
bandwidth for wireless backhauling is feasible without considerable performance sacrifice …
bandwidth for wireless backhauling is feasible without considerable performance sacrifice …
Hybrid MIMO and phased-array directional modulation for physical layer security in mmWave wireless communications
WQ Wang, Z Zheng - IEEE Journal on Selected Areas in …, 2018 - ieeexplore.ieee.org
Millimeter-wave (mmWave) wireless communication system allows a compact antenna array
with a large number of colocated elements, which enables flexible array design and …
with a large number of colocated elements, which enables flexible array design and …
[HTML][HTML] Knowledge-defined networking: Applications, challenges and future work
Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
Security of 5G-mobile backhaul networks: A survey
The rapid involution of the mobile generation with incipient data networking capabilities and
utilization has exponentially increased the data traffic volumes. Such traffic drains various …
utilization has exponentially increased the data traffic volumes. Such traffic drains various …
A survey of edge caching: Key issues and challenges
With the rapid development of mobile communication technology and intelligent
applications, the quantity of mobile devices and data traffic in networks have been growing …
applications, the quantity of mobile devices and data traffic in networks have been growing …
A survey on requirements of future intelligent networks: solutions and future research directions
The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …
solutions, and current research directions through a survey technique. The background of …