MIMO Detection and Precoding | Basics, Methods, Improved Techniques

Manar Mohaisen

ISBN 10: 3844326723 / ISBN 13: 9783844326727

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

MIMO Detection and Precoding | Basics, Methods, Improved Techniques | Manar Mohaisen | Taschenbuch | 128 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844326727 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 107055722

Bibliographic Details

• Title: MIMO Detection and Precoding | Basics, Methods, Improved Techniques
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3844326723
• ISBN 13: 9783844326727
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 209 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Multiple-input multiple-output (MIMO) techniques are the fundamental technology in several standardizations, including long-term evolution (LTE) and LTE-advanced. For instance, MIMO spatial multiplexing (MIMO-SM) is used to increase the system capacity without requiring additional time/frequency resources. However, the performance of the MIMO-SM depends on the employed detection algorithm. Also, multi-user MIMO precoding at the transmitter part is used to support the simultaneous transmission to several users. In this book, we review the basics of MIMO detection. Then, we introduce two detection algorithms, namely, adaptive parallel QRDM algorithm (APQRDM) that increases the detection throughput and adaptive iterative QRD-M algorithm (AIQRDM) that reduces the hardware requirements. Besides, these two algorithms adaptively reduce the computational complexity, while achieving the optimum diversity. Furthermore, in addition to introducing the state of the art of the precoding techniques, we propose a fixed complexity sphere encoder (FSE) that requires a fraction of the computations performed by the QRDM encoder, while achieving a tremendous increase in the precoding throughput.

About the Author

Manar Mohaisen, PhD: Studied mobile communication at Inha University. Assistant Professor at Korea University of Technology and Education (KUT).