Date of Award

1-1-2017

Document Type

Dissertation

Degree Name

Ph.D.

Organizational Unit

Daniel Felix Ritchie School of Engineering and Computer Science, Electrical and Computer Engineering

First Advisor

Mohammad Matin, Ph.D.

Second Advisor

Jack Donnelly

Third Advisor

Yun Bo Yi

Fourth Advisor

Jun Zhang

Keywords

5G, Communications, Massive MIMO, Multiple input multiple output, TDD, Time division duplex, Wireless

Abstract

A lot of effort has been made during the last two decades to study and apply the concepts of MIMO technology in most of the wireless standards. Therefore, a huge improvement in the performance of wireless communications has been made. However, Demand for wireless services has exponentially increased during the past ten years. Hence, high throughput is very important for all users to get the best experience with the offered services. This creates many technical challenges that are difficult to handle with the existing technology. Therefore, massive multiple input multiple output (massive MIMO) is a new technology that has been proposed as one of the solutions that can overcome these challenges and fulfill the requirements of the next generation of wireless communications. The main concept of massive MIMO is that the base station (BS) equipped with a large number of antenna elements serve terminals over the same time-frequency resources. It is going to be one of the key tools that can satisfy and handle the exponential growth in data traffic. Massive MIMO was introduced as a modified and scalable version of multiuser MIMO. Massive MIMO improves systems capacity and energy efficiency using simple linear processing.

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Ahmed Alshammari

Provenance

Received from ProQuest

File Format

application/pdf

Language

en

File Size

123 p.

Discipline

Electrical engineering

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