Muluneh Mekonnen

Orcid: 0000-0002-2420-525X

Affiliations:
  • Addis Ababa Science and Technology University, Department of Electrical and Computer Engineering, Ethiopia
  • Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China


According to our database1, Muluneh Mekonnen authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Performance Analysis of Large Intelligent Reflecting Surface Aided Moderate MIMO for 5G Communication.
Wirel. Pers. Commun., 2023

A Solution to Channel Aging in 5G Massive MIMO.
Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

2020
Finding Best Matching Community for Common Nodes in Mobile Social Networks.
Wirel. Pers. Commun., 2020

Study of single-cell massive MIMO systems with channel aging and prediction.
Wirel. Networks, 2020

Investigation of LS-MIMO systems with channel aging effects.
Phys. Commun., 2020

Influential nodes selection to enhance data dissemination in mobile social networks: A survey.
J. Netw. Comput. Appl., 2020

CSE: A Content Spreading Efficiency Based Influential Nodes Selection Method in 5G Mobile Social Networks.
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

2019
Vital nodes extracting method based on user's behavior in 5G mobile social networks.
J. Netw. Comput. Appl., 2019

2018
Cluster head selection method for content-centric mobile social network in 5G.
IET Commun., 2018

Identifying Influential Nodes Based on Community Structure to Speed up the Dissemination of Information in Complex Network.
IEEE Access, 2018

New Framework for analysis Of Energy Efficiency in massive MIMO With Hardware Impairments.
Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018

2017
Maximizing Quality of Experience in Device-to-Device Communication Using an Evolutionary Algorithm Based on Users' Behavior.
IEEE Access, 2017


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