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Massive MIMO Systems for 5G and Beyond Networks-Overview, Recent Trends, Challenges, and Future Research Direction
1Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA.
Massive Multiple-Input Multiple-Output (MIMO) enhances wireless networks for 5G and beyond. This study overviews massive MIMO challenges and solutions, crucial for intelligent sensing systems.
Area of Science:
- Wireless Communication Engineering
- Telecommunications Technology
- Signal Processing
Background:
- Global bandwidth limitations necessitate advanced wireless solutions.
- Massive MIMO technology offers high spectral and energy efficiency for next-generation networks.
- Understanding massive MIMO is critical for 5G and future network deployment.
Purpose of the Study:
- To provide a comprehensive overview of massive MIMO systems for 5G and beyond.
- To discuss fundamental challenges and state-of-the-art mitigation techniques.
- To explore emerging trends and open research issues in massive MIMO.
Main Methods:
- Literature review and analysis of massive MIMO systems.
- Discussion of challenges including pilot contamination, channel estimation, and signal detection.
- Exploration of recent trends like terahertz communication, UM-MIMO, VLC, and AI/ML applications.
Main Results:
- Identified key challenges in massive MIMO systems.
- Presented various mitigation techniques for performance enhancement.
- Highlighted emerging trends and their potential impact on massive MIMO.
Conclusions:
- Massive MIMO is a foundational technology for future wireless networks.
- Addressing challenges and integrating new trends will drive massive MIMO advancements.
- Further research is essential for optimizing massive MIMO in 5G and beyond.
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