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Signal Processing for 5G: Algorithms and Implementations
book

Signal Processing for 5G: Algorithms and Implementations

by Fa-Long Luo, Charlie Zhang
October 2016
Intermediate to advanced
610 pages
21h 37m
English
Wiley-IEEE Press
Content preview from Signal Processing for 5G: Algorithms and Implementations

Chapter 123D-MIMO with Massive Antennas: Theory, Implementation and Testing

Guangyi Liu, Xueying Hou, Fei Wang, Jing Jin and Hui Tong

  1. 12.1 Introduction
  2. 12.2 Application Scenarios of 3D-MIMO with Massive Antennas
    1. 12.2.1 Macro- and Micro-coverage Scenario
    2. 12.2.2 High-rise Scenario
    3. 12.2.3 Indoor Scenario
  3. 12.3 Exploiting 3D-MIMO Gain Based on Techniques in Current Standards
    1. 12.3.1 System Model
    2. 12.3.2 Uplink Feedback for TDD Systems with 3D-MIMO
    3. 12.3.3 Uplink Channel Estimation for Downlink Precoding
    4. 12.3.4 Downlink Precoding for TDD Systems with 3D-MIMO
    5. 12.3.5 MCS Calculation at BS by Exploiting the CQI and Channel Reciprocity
  4. 12.4 Evaluation by System-level Simulations
    1. 12.4.1 Simulation Assumptions
    2. 12.4.2 Performance of 3D-MIMO with Massive Antennas
    3. 12.4.3 Performance Comparison of Different Antenna Structures
  5. 12.5 Field Trials of 3D-MIMO with Massive Antennas
    1. 12.5.1 Test Performance in Anechoic Chamber
    2. 12.5.2 Field Trial in Typical Urban Micro Scenario and High-rise Scenario
  6. 12.6 Achieving 3D-MIMO with Massive Antennas from Theory to Practice
    1. 12.6.1 AAS: a Key for Commercialization of 3D-MIMO with Massive Antennas
    2. 12.6.2 Mapping from Transceivers to Antenna Elements in AAS
  7. 12.7 Conclusions
  8. References

12.1 Introduction

The explosive increase in mobile internet traffic has put stringent requirements on the improvement of spectrum efficiency of wireless communication systems. The 5G mobile communications system is envisioned to meet new and unprecedented demands that are beyond ...

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Publisher Resources

ISBN: 9781119116462Purchase book