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Dissertation/Thesis Abstract

Rate-and-Power Control Based Energy-Saving Transmissions in Multicarrier Base Stations Using Energy Adaptive Rate Control Algorithm
by Bangalore Mohan Kumar, Veeresh, M.S., California State University, Long Beach, 2018, 60; 10839376
Abstract (Summary)

With the amazing increase in mobile data traffic, the fast-growing requirement for, and development of, green communication technology has led to many energy-saving designs in mobile networks. Meanwhile, as advanced cellular technologies progress, more than one component carrier (CC) can now be jointly utilized in a base station (BS).

As a result, the energy consumption of the base station (BS) has become an important concern. In this research, a novel green rate-and-power control transmission scheme is studied and implemented at the BS transmission. The purpose of this scheme is to address the problem of energy minimization at BS transceivers, while maintaining certain quality-of-service and fairness for all users.

Furthermore, the Energy Adaptive Rate Control Algorithm (EARCA) is applied in Stanford University Interim (SUI-3) Channel Model. After adding a fourth energy level to EARCA, and comparing this model with the existing three-level EARCA model, an analysis of how this strategy affects the number of Non-Real Time users and energy consumption was performed.

Indexing (document details)
Advisor: Yeh, Hen-Geul Henry
Commitee: Chassiakos, Anastasios, Kwon, Seok-Chul
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 58/02M(E), Masters Abstracts International
Subjects: Engineering, Electrical engineering
Publication Number: 10839376
ISBN: 978-0-438-63363-6
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