Massive MIMO detection algorithm and VLSI architecture. ([2019])
- Record Type:
- Book
- Title:
- Massive MIMO detection algorithm and VLSI architecture. ([2019])
- Main Title:
- Massive MIMO detection algorithm and VLSI architecture
- Further Information:
- Note: Leibo Liu, Guiqiang Peng and Shaojun Wei.
- Authors:
- Liu, Leibo
Peng, Guiqiang
Wei, Shaojun - Contents:
- Intro; Preface; Contents; Abbreviations; 1 Introduction; 1.1 Application Requirements; 1.1.1 Typical Applications in Future; 1.1.2 Communication System Requirements; 1.2 Mobile Communication and MIMO Detection; 1.2.1 Development of Communication Technologies; 1.2.2 Key 5G Technologies; 1.2.3 MIMI Baseband Processing; 1.2.4 Difficulties in Massive MIMO Detection; 1.3 Status Quo of MIMO Detection Chip Research; 1.3.1 ISAP-Based MIMO Detection Chip; 1.3.2 ASIC-Based MIMO Detection Chip; 1.3.3 Limitation of Traditional MIMO Detection Chips 1.4 Dynamic Reconfigurable Chip Technologies of MIMO Detection1.4.1 Overview of Reconfigurable Computing; 1.4.2 Status Quo of Dynamic Reconfiguration Chip of MIMO Detection; References; 2 Linear Massive MIMO Detection Algorithm; 2.1 Analysis of Linear Detection Algorithm; 2.2 Neumann Series Approximation Algorithm; 2.2.1 Algorithm Design; 2.2.2 Error Analysis; 2.2.3 Complexity and Block Error Rate; 2.3 Chebyshev Iteration Algorithm; 2.3.1 Algorithm Design; 2.3.2 Convergence; 2.3.3 Complexity and Parallelism; 2.3.4 Bit Error Rate; 2.3.5 Analysis on Channel Model Impact 2.4 Jacobi Iteration Algorithm2.4.1 Weighted Jacobi Iteration and Convergence; 2.4.2 Complexity and Frame Error Rate; 2.4.3 Analyses on Channel Model Effects; 2.5 Conjugate Gradient Algorithm; 2.5.1 Algorithm Design; 2.5.2 Convergence; 2.5.3 Initial Iteration Value and Search; 2.5.4 Complexity and Parallelism; 2.5.5 Symbol Error Rate; References; 3 Architecture of Linear MassiveIntro; Preface; Contents; Abbreviations; 1 Introduction; 1.1 Application Requirements; 1.1.1 Typical Applications in Future; 1.1.2 Communication System Requirements; 1.2 Mobile Communication and MIMO Detection; 1.2.1 Development of Communication Technologies; 1.2.2 Key 5G Technologies; 1.2.3 MIMI Baseband Processing; 1.2.4 Difficulties in Massive MIMO Detection; 1.3 Status Quo of MIMO Detection Chip Research; 1.3.1 ISAP-Based MIMO Detection Chip; 1.3.2 ASIC-Based MIMO Detection Chip; 1.3.3 Limitation of Traditional MIMO Detection Chips 1.4 Dynamic Reconfigurable Chip Technologies of MIMO Detection1.4.1 Overview of Reconfigurable Computing; 1.4.2 Status Quo of Dynamic Reconfiguration Chip of MIMO Detection; References; 2 Linear Massive MIMO Detection Algorithm; 2.1 Analysis of Linear Detection Algorithm; 2.2 Neumann Series Approximation Algorithm; 2.2.1 Algorithm Design; 2.2.2 Error Analysis; 2.2.3 Complexity and Block Error Rate; 2.3 Chebyshev Iteration Algorithm; 2.3.1 Algorithm Design; 2.3.2 Convergence; 2.3.3 Complexity and Parallelism; 2.3.4 Bit Error Rate; 2.3.5 Analysis on Channel Model Impact 2.4 Jacobi Iteration Algorithm2.4.1 Weighted Jacobi Iteration and Convergence; 2.4.2 Complexity and Frame Error Rate; 2.4.3 Analyses on Channel Model Effects; 2.5 Conjugate Gradient Algorithm; 2.5.1 Algorithm Design; 2.5.2 Convergence; 2.5.3 Initial Iteration Value and Search; 2.5.4 Complexity and Parallelism; 2.5.5 Symbol Error Rate; References; 3 Architecture of Linear Massive MIMO Detection; 3.1 NSA-Based Hardware Architecture; 3.1.1 VLSI Top-Level Structure; 3.1.2 Approximate Inversion and Matched Filtering Module; 3.1.3 Equalization and SINR Module; 3.1.4 IFFT and LLR Module 3.1.5 Inverse Module Based on Cholesky Decomposition3.2 Chebyshev Iteration Hardware Architecture; 3.2.1 VLSI Top-Level Structure; 3.2.2 Initial Module; 3.2.3 Iterative Module; 3.2.4 LLR Module; 3.2.5 Experimental Results and Comparison; 3.3 Hardware Architecture Based on Weighted Jacobi Iteration; 3.3.1 VLSI Top-Level Architecture; 3.3.2 Diagonal Systolic Array; 3.3.3 WeJi Module; 3.3.4 LLR Module; 3.3.5 Experimental Result and Comparison; 3.4 Hardware Architecture Based on Conjugate Gradient Method; 3.4.1 VLSI Top-Level Structure; 3.4.2 Input/Output Module; 3.4.3 Multiplication Module 3.4.4 Iterative Module3.4.5 Experimental Results and Comparison; References; 4 Nonlinear Massive MIMO Signal Detection Algorithm; 4.1 Conventional Nonlinear MIMO Signal Detection Algorithm; 4.1.1 ML Signal Detection Algorithm; 4.1.2 SD Signal Detection Algorithm and K-Best Signal Detection Algorithm; 4.2 CHOSLAR Algorithm; 4.2.1 System Model; 4.2.2 QR Decomposition; 4.2.3 Lattice Reduction; 4.2.4 Cholesky Preprocessing; 4.2.5 Improved K-Best Detector and Its Performance Simulation; 4.2.6 Summary and Analysis; 4.3 TASER Algorithm; 4.3.1 System Model; 4.3.2 Semi-definite Relaxation … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 621.384
MIMO systems
Wireless communication systems
TECHNOLOGY & ENGINEERING / Mechanical
MIMO systems
Wireless communication systems
Computer Hardware
Circuits and Systems
Computer Engineering
Wireless and Mobile Communication
Information and Communication, Circuits
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811363627
9811363625
9789811363634
9811363633
9789811363641
9811363641 - Related ISBNs:
- 9789811363610
9811363617 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed February 22, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.411325
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- 02_510.xml