Teil der Reihe: Computer Science (R0)

AI-Enabled UAV-Assisted Massive MIMO

Relaying for 5G-and-Beyond Wireless Networks
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The authors explore various Unmanned Aerial Vehicle (UAV)-assisted massive Multiple-Input and Multiple-Output (MIMO) relaying systems designed for 5G-and-Beyond wireless networks.  This book also addresses scenarios where a direct connection between a base station and users is blocked, and a UAV acts as a relay to ensure seamless connectivity. The goal is to maximize the total achievable rate by solving key optimization problems in UAV placement, power allocation, and beamforming design. To tackle these challenges, the authors present novel artificial intelligence (AI)-driven solutions that achieve near-optimal performance in complex environments.

The first part introduces particle swarm optimization (PSO), a nature-inspired algorithm, for both single-user and multi-user massive MIMO settings, extending to multiple-UAV relay configurations. Our results demonstrate that PSO-based approaches can effectively enhance network capacity and coverage.  The second part focuses on reducing computational complexity, while maintaining high performance. The authors develop deep learning (DL)-based approaches, from supervised learning for UAV placement and power allocation to deep reinforcement learning for trajectory optimization in dynamic conditions. Numerical evaluations confirm that these DL-based methods achieve reduced runtime without sacrificing achievable rates.

This book targets researchers, advanced-level students and engineers interested in the challenges and practical solutions for UAV-assisted MIMO communications in  wireless networks. Professionals working in wireless communications focused on this topic will also want to purchase this book. 

Produktdetails
  • Erscheinungsdatum: 14.11.2025
  • Autor/Autorin: Tho Le-Ngoc,MohammadMahdi Ghadaksaz,Mobeen Mahmood
  • Reihe: Computer Science (R0)
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 18.8 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 167 Seiten
  • ISBN: 9783032078728
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Darum lohnt sich dieses Buch

Integration of hybrid beamforming techniques for UAV relay scenarios Clear simulations with extensive designs and tests Evaluation of diverse algorithms with analysis of pros and cons

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Half-Duplex/Full-Duplex MU-mMIMO

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Chapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Antenna Element Design for Large-Scale Antenna Arrays.- Part I. Half-Duplex Communications.- Chapter 4. Hybrid Beamformer Design with Impaired Components for mMIMO.- Chapter 5. Non-Planar Antenna Array Structures for mMIMO.- Chapter 6. Metamaterial-Based Miniaturized Large-Scale Antenna Array Prototype for mMIMO.- Chapter 7. Far-field Nulling Control Beamforming with Measured Element Patterns for MU-mMIMO.- Chapter 8. Near-Field Nulling Control Beamfocusing for Multi-User Interference Suppression.- Part II Full-Duplex Communications.- Chapter 9. Large-Scale Antenna Arrays for In-Band Full-Duplex Massive MIMO.-  Chapter 10. Tx-Rx Beam Isolation Improvement for FD mMIMO.-  Chapter 11. Metamaterial Absorber Structure for Tx-Rx Antenna Isolation Improvement in FD mMIMO.- Chapter 12. Conclusions and Future Works.

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