Swarm intelligence for next-generation networks: Recent advances and applications

QV Pham, DC Nguyen, S Mirjalili, DT Hoang… - Journal of Network and …, 2021 - Elsevier
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …

Heterogeneous network selection optimization algorithm based on a Markov decision model

J Xie, W Gao, C Li - China Communications, 2020 - ieeexplore.ieee.org
A network selection optimization algorithm based on the Markov decision process (MDP) is
proposed so that mobile terminals can always connect to the best wireless network in a …

A reinforcement learning-based framework for the exploitation of multiple RATs in the IoT

RM Sandoval, S Canovas-Carrasco… - IEEE …, 2019 - ieeexplore.ieee.org
The IoT is the cornerstone of many innovating processes such as those behind Smart Cities
and Smart Industries. As more and more wireless IoT devices are deployed, a newer, more …

Smart usage of multiple RAT in IoT-oriented 5G networks: A reinforcement learning approach

RM Sandoval, S Canovas-Carrasco… - … Learning for a 5G …, 2018 - ieeexplore.ieee.org
Smart Cities and Smart Industries are the flagships of the future IoT due to their potential to
revolutionize the way in which people live and produce in advanced societies. In these two …

Incentive framework for mobile data offloading market under QoE‐aware users

X Song, L Qin, H Qi, S Li, H Qian, L Dong… - IET …, 2020 - Wiley Online Library
Mobile data offloading enables the mobile network operator (MNO) to deal with the
explosive growth of cellular data by leasing third‐party access points (APs) to partially …

An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network

V Kumar, N Tyagi - Journal of Information and Telecommunication, 2021 - Taylor & Francis
The bandwidth-intensive applications on Smart-Mobile-Devices (SMDs) are increasing with
SMD's colossal growth. The overlapped cellular and non-cellular networks, in hot-spot …

A terminal-oriented distributed traffic flow splitting strategy for multi-service of V2X networks

F Ding, Z Ma, Z Li, R Su, D Zhang, H Zhu - Electronics, 2019 - mdpi.com
With the development and the characteristics of terminal services of the 5G (5th-Generation
network) Internet of Vehicles (IoVs), this paper proposes a distributed splitting strategy for …

Optimal resource allocation in 5G system using modified lion algorithm

S Kanaga Suba Raja… - IET …, 2021 - Wiley Online Library
This research work intends to examine the resource allocation issues within the hybrid multi‐
carrier non‐orthogonal multiple access (MC‐NOMA) systems, which includes the NOMA and …

Automatic Differentiation Based Resource Allocation Algorithm for Heterogeneous Networks

Z Zhang, H Li - 2019 11th International Conference on Wireless …, 2019 - ieeexplore.ieee.org
In the coming era of 5G, heterogeneous cellular networks (HetNets) are adopted to meet the
rapidly increasing of user demand and the amount of access devices. Resource allocation is …

Research On Parallel Clustering Algorithm Of Feature Hiding Big Data In Heterogeneous Networks

P XiangLi, W YiXi, L Fei, F Hao… - 2020 13th International …, 2020 - ieeexplore.ieee.org
Under the background of big data, network data presents a complex and multi structural
feature. In the computer network, clustering is the key feature of big data hiding in …