Abstract
In this letter, we develop semi-orthogonal user selection (SUS) algorithm using CDF-based scheduling to enhance fairness in an uplink multi-user multiple-input multiple-output (MU-MIMO) system. The proposed scheduling algorithm closely approaches to the sum capacity of the conventional SUS algorithm, but improving fairness with low complexity. Simulation results demonstrate that the propose algorithm effectively strikes a balance among sum capacity, fairness, and complexity in the MU-MIMO system using zero-forcing beamforming (ZFBF).
| Original language | English |
|---|---|
| Title of host publication | ICTC 2024 - 15th International Conference on ICT Convergence |
| Subtitle of host publication | AI-Empowered Digital Innovation |
| Publisher | IEEE Computer Society |
| Pages | 764-765 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350364637 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 - Jeju Island, Korea, Republic of Duration: 2024 Oct 16 → 2024 Oct 18 |
Publication series
| Name | International Conference on ICT Convergence |
|---|---|
| ISSN (Print) | 2162-1233 |
| ISSN (Electronic) | 2162-1241 |
Conference
| Conference | 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 24/10/16 → 24/10/18 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- CDF-based scheduling
- fairness
- low complexity
- MU-MIMO
- semi-orthogonal user selection
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
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