2 research outputs found
Μελέτη και κατηγοριοποίηση μηχανισμών ελέγχου ισχύος σε LTE/LTE-A δίκτυα με φεμτοκυψέλες
Η εργασία αυτή επικεντρώνεται στα Long Term Evolution (LTE)/LTE-Advanced
(LTE-A) δίκτυα κινητών επικοινωνιών με φεμτοκυψέλες και παρέχει μια
ολοκληρωμένη μελέτη τεχνικών ελέγχου ισχύος που έχουν προταθεί στη βιβλιογραφία
για μείωση των παρεμβολών. Στο πρώτο κεφάλαιο γίνεται μια αναδρομή στα κυψελωτά
δίκτυα επικοινωνιών. Πιο συγκεκριμένα, περιγράφεται η σταδιακή εξέλιξη τους
μέχρι και το σύστημα LTE, και παρουσιάζονται τα κυριότερα πρότυπα και τα βασικά
χαρακτηριστικά κάθε γενιάς. Στο δεύτερο κεφάλαιο, αρχικά, παρουσιάζεται η
αρχιτεκτονική του συστήματος LTE-A και οι βασικές της οντότητες. Στη συνέχεια
περιγράφεται το φυσικό επίπεδο του LTE-A και παρουσιάζονται οι τεχνικές
πολλαπλής πρόσβασης για την ανερχόμενη και την κατερχόμενη ζεύξη, ενώ
αναλύονται τα σήματα αναφοράς και οι ακολουθίες συγχρονισμού και αναφέρονται τα
φυσικά κανάλια μετάδοσης και ελέγχου Στο τρίτο κεφάλαιο αναλύονται οι τύποι
παρεμβολών που προκαλούνται σε ένα ετερογενές LTE/LTE-A δίκτυο και
παρουσιάζονται οι κυριότερες τεχνικές διαχείρισης τους. Στο τέταρτο κεφάλαιο
παρουσιάζεται η προτυποποιημένη από την 3GPP (3rd Generation Partnership
Project) μέθοδος ελέγχου ισχύος που χρησιμοποιείται για τη διαχείριση των
παρεμβολών σε ανερχόμενη και κατερχόμενη ζεύξη. Στο πέμπτο κεφάλαιο
παρουσιάζονται εκτενώς μια σειρά από λύσεις που έχουν προταθεί στη βιβλιογραφία
για τον έλεγχο ισχύος στα LTE δίκτυα. Στο έκτο και τελευταίο κεφάλαιο γίνεται
μια κατηγοριοποίηση των υπαρχόντων σχημάτων ελέγχου ισχύος και παρέχονται
κάποια συμπεράσματα για τα πλεονεκτήματα και τα προβλήματα που παρουσιάζει κάθε
κατηγορία.This paper focuses on Long Term Evolution (LTE)/LTE-Advanced (LTE-A) mobile
networks and provides a comprehensive survey of the power control techniques
that have been proposed to reduce the interference in those networks. The first
chapter describes the evolution of the cellular communication networks up to
the LTE system, providing the key characteristics of each generation and the
standard. The second chapter presents the architecture and the physical layer
characteristics of the LTE-A system. More specifically, we present the multiple
access techniques used in the uplink and downlink, we analyze the reference
signals and synchronization sequences and we list the physical transport and
control channels. The third chapter analyzes the types of interference caused
to a heterogeneous LTE network, and presents the main techniques which are used
to mitigate interference. The fourth chapter presents the standardized power
control method used for interference management as proposed by the 3GPP (3rd
Generation Partnership Project). The fifth chapter presents an extensive range
of solutions that have been proposed in the literature for power control in LTE
networks. In the sixth and final chapter we categorize the existing power
control schemes and provide some conclusions on the advantages and
disadvantages of each category
Low complexity radio resource management for energy efficient wireless networks
Energy consumption has become a major research topic from both environmental and economical
perspectives. The telecommunications industry is currently responsible for 0.7% of the
total global carbon emissions, a figure which is increasing at rapid rate. By 2020, it is desired
that CO2 emissions can be reduced by 50%. Thus, reducing the energy consumption in order
to lower carbon emissions and operational expenses has become a major design constraint for
future communication systems. Therefore, in this thesis energy efficient resource allocation
methods have been studied taking the Long Term Evolution (LTE) standard as an example.
Firstly, a theoretical analysis, that shows how improvements in energy efficiency can directly
be related with improvements in fairness, is provided using a Shannon theory analysis. The
traditional uplink power control challenge is re-evaluated and investigated from the view point
of interference mitigation rather than power minimization. Thus, a low complexity distributed
resource allocation scheme for reducing the uplink co-channel interference (CCI) is presented.
Improvements in energy efficiency are obtained by controlling the level of CCI affecting vulnerable
mobile stations (MSs). This is done with a combined scheduler and a two layer power
allocation scheme, which is based on non-cooperative game theory. Simulation results show
that the proposed low complexity method provides similar performance in terms of fairness
and energy efficiency when compared to a centralized signal interference noise ratio balancing
scheme.
Apart from using interference management techniques, by using efficiently the spare resources
in the system such as bandwidth and available infrastructure, the energy expenditure in wireless
networks can also be reduced. For example, during low network load periods spare resource
blocks (RBs) can be allocated to mobile users for transmission in the uplink. Thereby, the user
rate demands are split among its allocated RBs in order to transmit in each of them by using
a simpler and more energy efficient modulation scheme. In addition, virtual Multiple-input
Multiple-output (MIMO) coalitions can be formed by allowing single antenna MSs and available
relay stations to cooperate between each other to obtain power savings by implementing
the concepts of spatial multiplexing and spatial diversity. Resource block allocation and virtual
MIMO coalition formation are modeled by a game theoretic approach derived from two
different concepts of stable marriage with incomplete lists (SMI) and the college admission
framework (CAF) respectively. These distributed approaches focus on optimizing the overall
consumed power of the single antenna devices rather than on the transmitted power. Moreover,
it is shown that when overall power consumption is optimized the energy efficiency of the users
experiencing good propagation conditions in the uplink is not always improved by transmitting
in more than one RB or by forming a virtual MIMO link. Finally, it is shown that the proposed
distributed schemes achieve a similar performance in bits per Joule when compared to much
more complex centralized resource allocation methods