Optimization of radio resource allocation in uplink green LTE networks

207 Pages·2017·3.82 MB·English

by  Fatima Zohra Kaddour

Optimization of radio resource allocation in uplink green
LTE networks
Fatima Zohra Kaddour
To cite this version:
Fatima Zohra Kaddour. Optimization of radio resource allocation in uplink green LTE networks.
Networking and Internet Architecture [cs.NI]. Telecom paristech, 2014. English. ￿NNT: ￿. ￿tel-
01071448￿
HAL Id: tel-01071448
https://hal.science/tel-01071448
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2014-ENST-0012
EDITE - ED 130
Doctorat ParisTech
`
T H E S E
pour obtenir le grade de docteur d´elivr´e par
TELECOM ParisTech
Sp´ecialit´e Informatique et R´eseaux
pr´esent´ee et soutenue publiquement par
Fatima Zohra KADDOUR
le 4 mars 2014
Optimisation de l’allocation des ressources radio
sur le lien montant d’un r´eseau OFDMA sous contraintes
de consommation d’´energie
Directeur de th`ese: Prof. Philippe MARTINS
Co-encadrement de la th`ese: Dr. Emmanuelle VIVIER
T
H
Jury
Prof. Luc VANDENDORPE, Professeur, UCL, Belgique Rapporteur È
Prof. Xavier LAGRANGE, Professeur, TELECOM Bretagne, France Rapporteur
S
Prof. Michel TERRE, Professeur, CNAM, France Examinateur
Dr. J´erˆome BROUEH, Ing´enieur, Alcatel-lucent, France Examinateur E
Dr. Lina MROUEH, Enseignant Chercheur, ISEP, FRANCE Invit´e
Dr. Mylene PISCHELLA, Enseignant Chercheur, CNAM, France Invit´e
TELECOM ParisTech
Ecole de l’Institut Mines-T´el´ecom - membre de ParisTech
46rueBarrault75013Paris-([phone]-www.telecom-paristech.fr

To the memory of my dad

Acknowledgment
My deep gratitude goes first to my advisers Dr. Emmanuelle VIVIER at ISEP (Institut Sup´erieur
d’Electronique de Paris), and Prof. Philippe MARTINS at Telecom ParisTech. This work would
not have been completed without their unlimited encouragement, continuous support, and all their
suggestions during the development of my thesis.
I would like to thank very much the thesis reviewers Prof. Luc VANDENDORPE at ULC (Uni-
versit´e Catholique du Louvain) and Prof. Xavier LAGRANGE at Telecom Bretagne for their time
devoted to carefully reading the manuscript. The same gratitude goes to the examiners Dr. J´erˆome
BROUEH at Alcatel-Lucent and Prof. Michel TERRE at CNAM (Conservatoir National des Arts et
M´etiers) who gave me the honor for presiding over the jury. Their advice and detailed comments were
very helpful to significantly improving the quality of the final report.
My deepest gratitude goes also to Dr. Lina MROUEH at ISEP and Mylene PISCHELLA at
CNAM for their availability, recommandations, continuous support and valuable advice. It was a
great fortune for me to collaborate with them and I really enjoyed it.
I am really grateful to ISEP for financing my research and providing me the opportunity to do
teachingassistanceofsignalprocessingandtelecommunicationslecturesintheschool. Thisexperience
could not happen without the help of ISEP teachers and the SITe team members.
Great thanks to all my friends and my colleagues in SITe team. I would like to thank particularly
Itebeddine, Ujjwal, Mario, Louis, Marthe and Yacine for their friendship and their invaluable support.
I am deeply grateful to my family, specially my mother and brother for their unlimited support
that help me to move forward in life, and giving me the opportunity to come to Paris to complete my
Master degree at Telecom ParisTech.
Finally, I dedicate my thesis to my beloved father, who unfortunately passed away few moths after
my arrival to France. He was a such devoted father, always dreaming for a better future for us and
working hard for that. Without his encouragements and his wise vision, I would have never gone that
far in life.
iii

Abstract
ACTUALLY, 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) net-
works present a major advance in cellular technology. They offer significant improvements
intermsofspectrumefficiency, delayandbandwidthscalability, thankstothesimplearchi-
tecture design and the use of the Orthogonal Frequency Division Multiplexing (OFDM) based access
techniques in the physical layer. In LTE architecture, the evolved Node B (eNB) is considered as the
single node between the User Equipment (UE) and the Evolved Packet Core (EPC). Consequently,
the eNB is responsible of the mobility and the Radio Resource Management (RRM).
This thesis studies the uplink RRM in green LTE networks, using the Single Carrier Frequency
Division Multiple Access (SC-FDMA) technique. The objective is the throughput maximization in a
distributed radio resource allocation architecture. Hence, a channel dependent RRM is studied. First,
to evaluate the channel condition metrics, a new Inter-Cell Interference (ICI) estimation model is
proposed, when a power control process is applied to the UEs transmission power. The ICI estimation
model validation and robustness against environment variations are established analytically and with
simulations.
Then, the LTE networks dimensioning is investigated. The adequate 3GPP standardized band-
width that can be allocated to each cell in order to satisfy the UEs Quality of Service (QoS) is
evaluated in random networks, by considering the statistical behavior of the networks configuration,
and depending on the used RRM policy: fair or opportunistic Resource Block (RB) allocations, for
Single Input Single Output (SISO) and Multiple Input and Multiple Output (MIMO) systems. In
addition, the MIMO diversity and multiplexing gains are discussed.
As a standardized bandwidth is allocated to a cell, the RRM of the limited number of available
RBs is investigated. Therefore, a new radio resource allocation algorithm, respecting the SC-FDMA
constraints, is proposed in SISO systems. It efficiently allocates the RBs and the UE transmission
power to the users. The proposed RB allocation algorithm is adapted to the QoS differentiation. The
proposed channel dependent power control considers a minimum guaranteed bit rate that the UE
should reach. The performances of the proposed RRM are compared with the performances of other
well known schedulers, respecting the SC-FDMA constraints, found in the literature. Finally, the
proposed RB allocation algorithms are also extended to the Multi-User MIMO (MU-MIMO) systems
where a new transceiver is proposed. It combines the Zero Forcing (ZF) and the Maximum Likelihood
(ML) decoders at the receiver side.
v

Contents
Acknowledgment iii
Abstract v
Table of contents x
List of figures xiii
List of tables xv
Notation xvii
Abreviations and acronyms xxi
R´esum´e D´etaill´e de la Th`ese xxv
1 Introduction and Outline 1
1.1 Motivations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.3 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 Thesis outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.5 List of publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2 Preliminaries 9
2.1 LTE system technical specificities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.1.1 LTE performance targets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.1.2 Orthogonal Frequency Division Multiplexing . . . . . . . . . . . . . . . . . . . 10
2.1.3 OFDM based LTE multiple access techniques . . . . . . . . . . . . . . . . . . . 11
2.1.4 LTE RB allocation constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2.1.5 Uplink LTE frame structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.1.6 QoS in LTE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.1.7 Radio resource management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
vii