Space Time Code for Massive MIMO

Master thesis (2019)

Authors

S.V.V. RACHURI Electrical Engineering, Mathematics and Computer Science

Contributors

Geert Leus Signal Processing Systems - EEMCS (mentor)
G.J.T. Leus Signal Processing Systems - EEMCS (mentor)
G. Leus Signal Processing Systems - EEMCS (mentor)
Jos Weber Discrete Mathematics and Optimization - EEMCS (graduation committee member)
J.H. Weber Discrete Mathematics and Optimization - EEMCS (graduation committee member)
Sofie Pollin Katholieke Universiteit Leuven (mentor)
Andrea P. Guevara Katholieke Universiteit Leuven (coach)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Vishnu RACHURI
More Info
expand_more

Published Date

06-12-2019

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Ubiquitous connectivity requirements and stringent quality-of-services (QoS)
in recent wireless communications demand new revolutionary wireless network
technologies to support the exponentially increasing traffic growth.
Massive multiple-input-multiple-output (MIMO) with the capability of high
spectral efficiency achieved by large multiplexing and diversity gains grabbed
a lot of attention as a promising solution for future cellular networks. Achieving
ultra-reliable and low latency communication is very challenging without
increasing the network infrastructure cost, or extra processing complexity.
Adapting space-time-block-codes (STBC) can improve the reliability of
the system, but this increases the downlink pilot overhead. Two precoders
are devised to exploit full spatial diversity with the blind combining process
to avoid downlink pilot overhead.

Files

MSc_Thesis_Template_Final_Uplo... (pdf)
(pdf | 2.48 Mb)
- Embargo expired in 30-09-2022
Unknown license