Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Heterogeneous vehicular networking: A survey on architecture, challenges, and solutions

K Zheng, Q Zheng, P Chatzimisios… - … surveys & tutorials, 2015 - ieeexplore.ieee.org
With the rapid development of the Intelligent Transportation System (ITS), vehicular
communication networks have been widely studied in recent years. Dedicated Short Range …

Energy-efficient resource allocation for downlink non-orthogonal multiple access network

F Fang, H Zhang, J Cheng… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is a promising technique for the fifth generation
mobile communication due to its high spectral efficiency. By applying superposition coding …

State of the art in LP-WAN solutions for industrial IoT services

R Sanchez-Iborra, MD Cano - Sensors, 2016 - mdpi.com
The emergence of low-cost connected devices is enabling a new wave of sensorization
services. These services can be highly leveraged in industrial applications. However, the …

Combination of ultra-dense networks and other 5G enabling technologies: A survey

MA Adedoyin, OE Falowo - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, to address the astonishing capacity requirement of 5G, researchers are
investigating the possibility of combining different technologies with ultra-dense networks …

Resource allocation for cognitive small cell networks: A cooperative bargaining game theoretic approach

H Zhang, C Jiang, NC Beaulieu, X Chu… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Cognitive small cell networks have been envisioned as a promising technique for meeting
the exponentially increasing mobile traffic demand. Recently, many technological issues …

A two-timescale duplex neurodynamic approach to mixed-integer optimization

H Che, J Wang - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
This article presents a two-timescale duplex neurodynamic approach to mixed-integer
optimization, based on a biconvex optimization problem reformulation with additional …

Downlink energy efficiency of power allocation and wireless backhaul bandwidth allocation in heterogeneous small cell networks

H Zhang, H Liu, J Cheng… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
The widespread application of wireless services and dense devices access has triggered
huge energy consumption. Because of the environmental and financial considerations …

Joint coordinated beamforming and power splitting ratio optimization in MU-MISO SWIPT-enabled HetNets: A multi-agent DDQN-based approach

R Zhang, K Xiong, Y Lu, B Gao, P Fan… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
This paper proposes a multi-agent double deep Q network (DDQN)-based approach to
jointly optimize the beamforming vectors and power splitting (PS) ratio in multi-user multiple …

Spectrum handoff in cognitive radio networks: A classification and comprehensive survey

K Kumar, A Prakash, R Tripathi - Journal of Network and Computer …, 2016 - Elsevier
The rapid progression in wireless networking has raised the demand of extra spectrum
bands. The current fixed spectrum allocation policy used by the government agencies is …