Skip to main content
SpringerLink
Log in

Massive MIMO Meets Small Cell

Backhaul and Cooperation

  • Book
  • © 2017

Overview

Authors:
  1. Howard H. Yang

    1. Singapore University of Technology and Design, Singapore, Singapore

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Tony Q.S. Quek

    1. Singapore University of Technology and Design, Singapore, Singapore

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (4 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • Howard H. Yang, Tony Q. S. Quek
    Pages 1-7

  3. Massive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing

    • Howard H. Yang, Tony Q. S. Quek
    Pages 9-34

  4. Massive MIMO in Small Cell Networks: Wireless Backhaul

    • Howard H. Yang, Tony Q. S. Quek
    Pages 35-59

  5. Conclusions

    • Howard H. Yang, Tony Q. S. Quek
    Pages 61-61
Back to top

Keywords

About this book

This brief explores the utilization of large antenna arrays in massive multiple-input-multiple-output (MIMO) for both interference suppression, where it can improve cell-edge user rates, and for wireless backhaul in small cell networks, where macro base stations can forward data to small access points in an energy efficient way. Massive MIMO is deemed as a critical technology for next generation wireless technology. By deploying an antenna array that has active elements in excess of the number of users, massive MIMO not only provides tremendous diversity gain but also powers new aspects for network design to improve performance. 
This brief investigates a better utilization of the excessive spatial dimensions to improve network performance. It combines random matrix theory and stochastic geometry to develop an analytical framework that accounts for all the key features of a network, including number of antenna array, base station density, inter-cell interference, random base station deployment, and network traffic load. The authors explore the impact from different network parameters through numerical analysis.
Researchers in wireless network design will find this to be an exceptional resource, as will advanced-level students or professionals working in networking and information systems design. 






Authors and Affiliations

  • Singapore University of Technology and Design, Singapore, Singapore

    Howard H. Yang, Tony Q.S. Quek

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation