Earticle

초록

영어

In this paper, to improve spectral efficiency and mitigate interference in coordinated millimeter-wave systems, we proposes an optimal user group and beam selection scheme. The proposed scheme improves spectral efficiency by mitigating intra- and inter-cell interferences (ICI). By examining the effective channel capacity for all possible user combinations, user combinations and beams with minimized ICI can be selected. However, implementing this in a dense environment of cells and users requires highly complex computational abilities, which we have investigated applying multiclass classifiers based on machine learning. Compared with the conventional scheme, the numerical results show that our proposed scheme can achieve near-optimal performance, making it an attractive option for these systems.

목차

Abstract
1. Introduction
2. System model
3. User-Group and Beam Selection
3.1 Conventional Scheme Overview
3.2 Proposed Optimal User Group and Beam Selection
4. Proposed ML-Based User Group and Beam Selection
4.1 Training steps for BFP and UGP models
4.2 Test and operation steps for BFP and UGP models
5. Numerical Results and Discussion
5.1 Building the neural networks
5.2 System setup and simulation parameters
5.3 Performance evaluation
5.4 Analysis of computational complexity
6. Conclusion
References

키워드

저자

• Sang-Lim Ju [ Doctor, Department of radio and communication engineering, Chungbuk National University, Korea ]
• Nam-il Kim [ Doctor, Telecommunications & Media Research Laboratory, Electronics and Telecommunications Research Institute, Korea ]
• Kyung-Seok Kim [ Professor, Department of information and communication engineering, Chungbuk National University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380