Multi-hop relay-aided underlay D2D communications for improving cellular coverage quality

J Gui, J Deng - IEEE access, 2018 - ieeexplore.ieee.org
The future wireless networks need to improve spectrum and energy efficiency to satisfy the
increasing demand for high data rate. Device-to device (D2D) communications have the …

Machine learning aided scheme for load balancing in dense IoT networks

CA Gomez, A Shami, X Wang - Sensors, 2018 - mdpi.com
With the dramatic increase of connected devices, the Internet of things (IoT) paradigm has
become an important solution in supporting dense scenarios such as smart cities. The …

Joint user association and resource allocation in HetNets based on user mobility prediction

Z Cheng, N Chen, B Liu, Z Gao, L Huang, X Du… - Computer Networks, 2020 - Elsevier
Virtual small cell (VSC) formed by directional beams is seen as an alternative for the small
base station (SBS) within the coverage of macro base station (MBS), to increase system …

Utility-and fairness-based spectrum allocation of cellular networks by an adaptive particle swarm optimization algorithm

X Zhang, X Zhang, Z Wu - IEEE Transactions on Emerging …, 2020 - ieeexplore.ieee.org
In wireless and mobile communication, wireless spectrum is a limited and scarce resource.
Properly allocating spectrum resource to different users is an important goal to meet the …

Utilization-oriented spectrum allocation in an underlay cognitive radio network

X Zhang, X Zhang, L Han, R Xing - IEEE Access, 2018 - ieeexplore.ieee.org
Spectrum access and assignment in cognitive radio networks (CRNs) are hot topics in
wireless communications. Dynamic spectrum access and assignment could greatly improve …

Energy Efficient Power Allocation in Massive MIMO Based on Parameterized Deep DQN

S Sharma, W Yoon - Electronics, 2023 - mdpi.com
Machine learning offers advanced tools for efficient management of radio resources in
modern wireless networks. In this study, we leverage a multi-agent deep reinforcement …

[PDF][PDF] Improved channel allocation scheme for cognitive radio networks

S Latif, S Akraam, AJ Malik, AA Abbasi… - Intell. Autom. Soft …, 2021 - researchgate.net
In recent years, wireless channel optimization technologies witnessed tremendous
improvements. In this regard, research for developing wireless spectrum for accommodating …

Antenna array design by a contraction adaptive particle swarm optimization algorithm

X Zhang, D Lu, X Zhang, Y Wang - EURASIP Journal on Wireless …, 2019 - Springer
Massive multiple input multiple output (MIMO) has drawn intensive attention of researchers
for solving huge data transmissions in the fifth generation wireless communication …

Cell selection and resource allocation in LTE-advanced heterogeneous networks

WK Lai, JK Liu - IEEE Access, 2018 - ieeexplore.ieee.org
A LTE-advanced heterogeneous network consists of many macrocells, and within each
macrocell, there can have many picocells and user equipments (UEs). A UE within a …

Base station sleeping strategy for on-grid energy saving in cellular networks with hybrid energy supplies in IoT environment

H Wang, Z Zhao, X Cheng, J Ying, J Qu, G Xu - IEEE Access, 2018 - ieeexplore.ieee.org
To efficiently reduce on-grid energy consumption, the base station (BS) sleeping strategy in
the hybrid energy-powered cellular network (HybE-Net) in the Internet of Things …