Lattice-Reduction-Aided and Integer-Forcing Equalization: Structures, Criteria, Factorization, and Coding
Author:   Robert F. H. Fischer ,  Sebastian Stern ,  Johannes B. Huber
Publisher:   now publishers Inc
ISBN:  

9781680836448


Pages:   172
Publication Date:   09 December 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Lattice-Reduction-Aided and Integer-Forcing Equalization: Structures, Criteria, Factorization, and Coding


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Overview

This monograph provides a tutorial review of the Lattice-Reduction-Aided and Integer-Forcing approaches to equalization in MIMO communications. The authors highlight the similarities and differences of both approaches while summarizing the various criteria for selecting the integer linear combinations available in the literature in a unified way. This presents the reader with a clear overview of the differing equalization techniques and enables them to be adopted for any particular system under development. The authors proceed to consider the demands on the signal constellations and coding schemes in detail. The monograph provides a concise overview of recent developments in the development of the widely-used MIMO communication systems. It is of interest to researchers, practitioners and students alike.

Full Product Details

Author:   Robert F. H. Fischer ,  Sebastian Stern ,  Johannes B. Huber
Publisher:   now publishers Inc
Imprint:   now publishers Inc
Dimensions:   Width: 15.60cm , Height: 1.40cm , Length: 23.40cm
Weight:   0.251kg
ISBN:  

9781680836448


ISBN 10:   1680836447
Pages:   172
Publication Date:   09 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction 2. System Model and Classical Equalization Schemes 3. Structure and Factorization Criteria 4. Codes, Constraints, and Decoding 5. LRA and IF Decision-Feedback Equalization 6. Precoding 7. Summary and Conclusions Appendices References

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