Massive MIMO detection algorithm and VLSI architecture /
General Material Designation
[Book]
First Statement of Responsibility
Leibo Liu, Guiqiang Peng and Shaojun Wei.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2019]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
Introduction -- Linear massive MIMO detection algorithm -- Architecture of linear massive MIMO detection -- Nonlinear massive MIMO signal detection algorithm -- Architecture for nonlinear massive MIMO detection -- Dynamic reconfigurable chips for massive MIMO detection -- Prospect of the VLSI architecture for massive MIMO detection.
0
SUMMARY OR ABSTRACT
Text of Note
This book introduces readers to a reconfigurable chip architecture for future wireless communication systems, such as 5G and beyond. The proposed architecture perfectly meets the demands for future mobile communication solutions to support different standards, algorithms, and antenna sizes, and to accommodate the evolution of standards and algorithms. It employs massive MIMO detection algorithms, which combine the advantages of low complexity and high parallelism, and can fully meet the requirements for detection accuracy. Further, the architecture is implemented using ASIC, which offers high energy efficiency, high area efficiency and low detection error. After introducing massive MIMO detection algorithms and circuit architectures, the book describes the ASIC implementation for verifying the massive MIMO detection. In turn, it provides detailed information on the proposed reconfigurable architecture: the data path and configuration path for massive MIMO detection algorithms, including the processing unit, interconnections, storage mechanism, configuration information format, and configuration method.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811363627
OTHER EDITION IN ANOTHER MEDIUM
Title
Massive MIMO detection algorithm and VLSI architecture.
International Standard Book Number
9789811363610
PARALLEL TITLE PROPER
Parallel Title
Massive multiple-input and multiple-output detection algorithm and very large scale integration architecture