A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges

Y Xu, G Gui, H Gacanin, F Adachi - … Communications Surveys & …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …

Survey of fog computing: Fundamental, network applications, and research challenges

M Mukherjee, L Shu, D Wang - IEEE Communications Surveys …, 2018 - ieeexplore.ieee.org
Fog computing is an emerging paradigm that extends computation, communication, and
storage facilities toward the edge of a network. Compared to traditional cloud computing, fog …

A survey on mobile edge computing: The communication perspective

Y Mao, C You, J Zhang, K Huang… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

Big data-driven optimization for mobile networks toward 5G

K Zheng, Z Yang, K Zhang, P Chatzimisios… - IEEE …, 2016 - ieeexplore.ieee.org
Big data offers a plethora of opportunities to mobile network operators for improving quality
of service. This article explores various means of integrating big data analytics with network …

Distributed blockchain-based trusted multidomain collaboration for mobile edge computing in 5G and beyond

H Yang, Y Liang, J Yuan, Q Yao, A Yu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) sinks computing power to the edge of networks and
integrates mobile access networks and Internet services in 5G and beyond. With the …

Optimization of radio and computational resources for energy efficiency in latency-constrained application offloading

O Munoz, A Pascual-Iserte… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Providing femto access points (FAPs) with computational capabilities will allow (either total
or partial) off-loading of highly demanding applications from smartphones to the so-called …

Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing

M Yannuzzi, R Milito, R Serral-Gracià… - 2014 IEEE 19th …, 2014 - ieeexplore.ieee.org
This paper examines some of the most promising and challenging scenarios in IoT, and
shows why current compute and storage models confined to data centers will not be able to …

[PDF][PDF] Mobile edge computing: Survey and research outlook

Y Mao, C You, J Zhang, K Huang… - arxiv preprint arxiv …, 2017 - researchgate.net
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards …

Follow-me cloud: When cloud services follow mobile users

T Taleb, A Ksentini… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The trend towards the cloudification of the 3GPP LTE mobile network architecture and the
emergence of federated cloud infrastructures call for alternative service delivery strategies …

An SMDP-based resource allocation in vehicular cloud computing systems

K Zheng, H Meng, P Chatzimisios… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Vehicular ad hoc networks are expected to significantly improve traffic safety and
transportation efficiency while providing a comfortable driving experience. However …