Date of Award

6-21-2021

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Systems Engineering

First Advisor

Hussain Al-Rizzo

Abstract

The exponential demand for high-speed networks and data processing forces mobile network operators to develop new solutions to cope with the current indigence. The desire for more reliable, power-efficient, cost-efficient networks arises due to increasing smartphones, tablets, and applications that demand data-hungry applications. Various solutions and technologies have been proposed to cope with these challenges where Cloud Radio Access Network (C-RAN) is one among many others. In C-RAN, the baseband units are decoupled from the Remote Radio Heads (RRHs) and transferred to the cloud to enable centralized, supporting, controlling, and data processing. The RRHs, on the other hand, are considered new terms compared to traditional terminology. The new function of the RRH in the proposed C-RAN is to amplify, filter, and relay the incoming/outgoing signals. There is an urge to expand existing research to include more general scenarios regarding multipath statistical channel modeling along with an arbitrary path loss exponent. The research reported in this thesis focuses on developing new algorithms for the analysis of Outage Probability (Pout) and Ergodic Capacity (EC) as network metrics using the well-known Nakagami-n/m fading channel models for arbitrary path loss exponent for RRH with single, multiple, and nearest RRH. Several simulation scenarios are presented to reveal the generality of the Nakagami fading models developed in this thesis and their significance in designing and analyzing 5G wireless systems. Finally, using the channel models developed in this thesis, the more challenging problem of finding generic formulas for the ergodic capacity and outage probability for random channels with arbitrary values for both the path loss exponent and the number of antennas is derived.

Download

Included in

Engineering Commons

Share

COinS