1. Introduction.- 2. Background of MIMO Detection.- 3. For the Low Complexity MIMO Detection: List and Lattice Reduction based Methods.- 4. List Detection using a Partial MAP based Approach.- 5. Lattice Reduction based List Detection and its Column Reordering Schemes.- 6. Low Complexity MIMO Detection for Underdetermined MIMO systems. - 7. Multiuser MIMO Systems and User Selection Schemes: An Efficient Way to Increase the Diversity.- 8. User Selection Criteria for Multiuser Systems with Different MIMO Detectors.- 9. Conclusion
Über den Autor
Prof. Jinho Choi is the chair of wireless in School of Engineering, Swansea University, Swansea, U.K.
Dr. Lin Bai is at the Beijing University of Aeronautics and Astronautics (BUAA), Beijing, China.
Introduction.- Part I: Point to Point MIMO.- Background of MIMO Detection.- List and Lattice Reduction-based Methods.- Partial MAP-based Detection.- Lattice Reduction-based List Detection.- Detection for Underdetermined MIMO Systems.- Part II: Multiuser MIMO.- Selection Criteria of Single User.- Selection Criteria of Multiple Users.- Conclusion.
Low Complexity MIMO Detection introduces the principle of MIMO systems and signal detection via MIMO channels. This book systematically introduces the symbol detection in MIMO systems. Includes the fundamental knowledge of MIMO detection and recent research outcomes for low complexity MIMO detection.
Introduces Low Complexity MIMO detection
Provides Matlab based simulation platform which helps readers to build up their own codes
Focuses on lattice reduction based list detection within MIMO detection systems