Term of Award

Fall 2017

Degree Name

Master of Science in Applied Engineering (M.S.A.E.)

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


Department of Electrical Engineering

Committee Chair

Rami J. Haddad

Committee Member 1

Adel El Shahat

Committee Member 2

Seungmo Kim


The massive MIMO is a promising technology for future 5G wireless communication systems to provide high spectrum efficiency. The use of a very large number of antennas for both transmission and reception is an intuitive approach to boost the system capacity and enhance the link reliability. The main requirement of future wireless systems are high throughput, serving many users simultaneously with optimal energy consumption. In the first part of the thesis, we proposed a novel algorithm for secrecy rate analysis of massive MIMO with QoS requirement by adapting the transmit signal vector and power of user using game theory. The second part focuses on the performance analysis of massive MIMO systems in the presence of eavesdroppers and jammers (aka attackers) adopting two different precoding techniques, Zero Forcing (ZF) and Maximum ratio transmisson (MRT), to approximate the signal-to-interference-plus noise (SINR) ratio using normalization methods and provide the closed form expression for achievable secrecy sum-rate in the presence of attackers in the system. The approximations are validated with Monte-carlo simulations.

Research Data and Supplementary Material