Hybrid deep learning approach for improved network connectivity in wireless sensor networks
Wireless sensor networks occupy a prominent role in industrial as well as scientific
applications. Lifetime enhancement and coverage are the major factors considered while …
applications. Lifetime enhancement and coverage are the major factors considered while …
Connectivity analysis of finite wireless multihop networks incorporating boundary effects in shadowing environments
A binary transmission range model, widely utilised for the connectivity analysis of wireless
multihop networks (WMNs), ignores the stochastic nature of wireless channels leading to …
multihop networks (WMNs), ignores the stochastic nature of wireless channels leading to …
Evaluating the mobility impact on the performance of heterogeneous wireless networks over η–μ fading channels
E Meesa-Ard, S Pattaramalai - IEEE Access, 2021 - ieeexplore.ieee.org
The 5G and beyond networks will intrinsically accommodate a wide range of use-case
scenarios and expand the limit of legacy mobile systems. The 5G network architecture can …
scenarios and expand the limit of legacy mobile systems. The 5G network architecture can …
Efficiency analysis of a K-tier clustered HCN using dual connectivity with DUDe access
Abstract The Heterogeneous Cellular Network (HCN) paradigm holds promise for increasing
the coverage probabilities and date rates of its users. The concept of downlink and uplink …
the coverage probabilities and date rates of its users. The concept of downlink and uplink …
Dual connectivity in decoupled aerial HetNets with reverse frequency allocation and clustered jamming
The extensive increase in the number of mobile devices and their data-rate requirements
will lead to the scarcity of network resources. One of the promising solutions to keep up with …
will lead to the scarcity of network resources. One of the promising solutions to keep up with …
Codeword selection for concurrent transmissions in UAV Networks: a machine learning approach
The unmanned aerial vehicles (UAVs) have been widely considered as one of the key
applications for future wireless communication systems, where UAVs can be used as aerial …
applications for future wireless communication systems, where UAVs can be used as aerial …
Machine learning based analog beam selection for 5G mmWave small cell networks
In 5G millimeter-wave (mmWave) small cell networks, a lot of mmWave small cell base
stations (SBSs) are densely deployed, where SBSs uses large number of antennas to form …
stations (SBSs) are densely deployed, where SBSs uses large number of antennas to form …
Modelling user radio access in dense heterogeneous networks
M Gribaudo, D Manini, CF Chiasserini - Performance Evaluation, 2021 - Elsevier
One of the distinctive features of today's mobile networks is the densification of the access
nodes and their heterogeneity, which lead to complex, multi-tier, multi-radio access systems …
nodes and their heterogeneity, which lead to complex, multi-tier, multi-radio access systems …
Machine learning based analog beam selection for concurrent transmissions in mmWave heterogeneous networks
Y Luo, Y Yang, G Zhen, D He… - 2021 IEEE/CIC …, 2021 - ieeexplore.ieee.org
In millimeter-wave (mmWave) heterogeneous networks (HetNets), a variety of mmWave
base stations (mBSs) are usually deployed with massive MIMO to form directional analog …
base stations (mBSs) are usually deployed with massive MIMO to form directional analog …
A Novel Framework for Cost Constrained Network Sharing
E Ruzomberka, KT Kim, A Ghosh… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Network sharing is widely accepted as a cost effective approach for mobile network
deployment. It remains uncertain, however, how regulators will evaluate network sharing …
deployment. It remains uncertain, however, how regulators will evaluate network sharing …