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Hyoung, Kyu Song. Graph neural network performance analysis in the cell-free massive MIMO wireless systems. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Graph neural network performance analysis in the cell-free massive MIMO wireless systems
Name: Rahman, Md Habibur
Organization :
Sejong University. Dept. Information and Communication Engineering
Email :
habibur@sju.ac.kr
Organization :
Sejong University. Dept. Convergence Engineering for Intelligent Drone
Email :
sejan@sejong.ac.kr
Name: Aziz, Md Abdul
Organization :
Sejong University. Dept. Information and Communication Engineering
Email :
aziz@sju.ac.kr
Name: Tabassum, Rana
Organization :
Sejong University. Dept. Information and Communication Engineering
Email :
tanvi@sju.ac.kr
Name: Hyoung, Kyu Song
Organization :
Sejong University. Dept. Convergence Engineering for Intelligent Drone
Email :
songhk@sejong.ac.kr
LCSH:
MIMO systems
Abstract:
To address challenging issues in wireless communications,
researchers have developed deep learning (DL)-based
techniques, yielding encouraging outcomes. However, commonly
adopted neural network (NN) architectures, such as convolutional
(CNNs) and multi-layer perceptrons, are derived from DL for
image processing applications and are not specifically tailored
to tackle wireless network challenges. Consequently, they often
exhibit poor generalization and scalability issues in large-scale
networks and unknown network environments. Graph neural
networks (GNNs) have gained recent popularity as a solution to
these challenges due to their ability to effectively utilize domain
knowledge and graph topology in wireless communications. GNNbased
techniques demonstrate nearly optimal performance in
massive networks and show good generalization across various
system configurations. To leverage GNNs in wireless systems, we
have designed a cell-free massive MIMO (CF-mMIMO) system,
presented as a GNN structure. The proposed CF-mMIMO
system is employed to analyze the effectiveness of different GNN
models and various optimization algorithms. The system exhibits
effective performance against optimal benchmarks and provides
valuable insights for the next-generation research community.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-06-06
Issued:
2025-06-06
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.412-417). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.043317 วินาที
Rahman, Md Habibur
| Title | Contributor | Type |
|---|---|---|
| Adapting graph structure for IoT network : a performance analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sejan, Mohammad Abrar Shakil;Rahman, Md Habibur;Aziz, Md Abdul;Song, Hyoung-Kyu;Tabassum, Rana | บทความ/Article | |
| Graph neural network performance analysis in the cell-free massive MIMO wireless systems
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Rahman, Md Habibur;Sejan, Mohammad Abrar Shakil;Aziz, Md Abdul;Tabassum, Rana;Hyoung, Kyu Song | บทความ/Article |
Sejan, Mohammad Abrar Shakil
| Title | Contributor | Type |
|---|---|---|
| Adapting graph structure for IoT network : a performance analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sejan, Mohammad Abrar Shakil;Rahman, Md Habibur;Aziz, Md Abdul;Song, Hyoung-Kyu;Tabassum, Rana | บทความ/Article | |
| Graph neural network performance analysis in the cell-free massive MIMO wireless systems
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Rahman, Md Habibur;Sejan, Mohammad Abrar Shakil;Aziz, Md Abdul;Tabassum, Rana;Hyoung, Kyu Song | บทความ/Article |
Aziz, Md Abdul
| Title | Contributor | Type |
|---|---|---|
| Adapting graph structure for IoT network : a performance analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sejan, Mohammad Abrar Shakil;Rahman, Md Habibur;Aziz, Md Abdul;Song, Hyoung-Kyu;Tabassum, Rana | บทความ/Article | |
| Graph neural network performance analysis in the cell-free massive MIMO wireless systems
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Rahman, Md Habibur;Sejan, Mohammad Abrar Shakil;Aziz, Md Abdul;Tabassum, Rana;Hyoung, Kyu Song | บทความ/Article |
Tabassum, Rana
| Title | Contributor | Type |
|---|---|---|
| Adapting graph structure for IoT network : a performance analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sejan, Mohammad Abrar Shakil;Rahman, Md Habibur;Aziz, Md Abdul;Song, Hyoung-Kyu;Tabassum, Rana | บทความ/Article | |
| Graph neural network performance analysis in the cell-free massive MIMO wireless systems
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Rahman, Md Habibur;Sejan, Mohammad Abrar Shakil;Aziz, Md Abdul;Tabassum, Rana;Hyoung, Kyu Song | บทความ/Article |
Hyoung, Kyu Song
| Title | Contributor | Type |
|---|---|---|
| Graph neural network performance analysis in the cell-free massive MIMO wireless systems
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Rahman, Md Habibur;Sejan, Mohammad Abrar Shakil;Aziz, Md Abdul;Tabassum, Rana;Hyoung, Kyu Song | บทความ/Article |