Towards 1 Gbps/UE in cellular systems: Understanding ultra-dense small cell deployments

D López-Pérez, M Ding, H Claussen… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
Today's heterogeneous networks comprised of mostly macrocells and indoor small cells will
not be able to meet the upcoming traffic demands. Indeed, it is forecasted that at least a 100 …

A survey of caching techniques in cellular networks: Research issues and challenges in content placement and delivery strategies

L Li, G Zhao, RS Blum - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Mobile data traffic is currently growing exponentially and these rapid increases have caused
the backhaul data rate requirements to become the major bottleneck to reducing costs and …

Joint task offloading and resource allocation for multi-server mobile-edge computing networks

TX Tran, D Pompili - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is an emerging paradigm that provides a capillary
distribution of cloud computing capabilities to the edge of the wireless access network …

Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing

H Zhou, T Wu, X Chen, S He, D Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …

Topology-aware federated learning in edge computing: A comprehensive survey

J Wu, F Dong, H Leung, Z Zhu, J Zhou… - ACM Computing …, 2024 - dl.acm.org
The ultra-low latency requirements of 5G/6G applications and privacy constraints call for
distributed machine learning systems to be deployed at the edge. With its simple yet …

Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum

H Zhang, X Chu, W Guo, S Wang - IEEE communications …, 2015 - ieeexplore.ieee.org
As two major players in terrestrial wireless communications, Wi-Fi systems and cellular
networks have different origins and have largely evolved separately. Motivated by the …

Distributed probabilistic offloading in edge computing for 6G-enabled massive Internet of Things

Z Liao, J Peng, J Huang, J Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is expected to provide reliable and low-latency computation
offloading for massive Internet of Things (IoT) with the next generation networks, such as the …

Efficient workload allocation and user-centric utility maximization for task scheduling in collaborative vehicular edge computing

X Huang, R Yu, D Ye, L Shu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By integrating Mobile Edge Computing (MEC) into vehicular networks, vehicular edge
computing extends computing capability to the vehicular network edge and hosts services in …

[HTML][HTML] Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm

Z Liao, J Peng, B Xiong, J Huang - Journal of Cloud Computing, 2021 - Springer
With the combination of Mobile Edge Computing (MEC) and the next generation cellular
networks, computation requests from end devices can be offloaded promptly and accurately …

Energy efficiency based joint computation offloading and resource allocation in multi-access MEC systems

X Yang, X Yu, H Huang, H Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid growth of computation demands from mobile applications, mobile-edge
computing (MEC) provides a new method to meet requirement of high data rate and high …