dc.contributor.author |
Tsampazi, Maria
|
en |
dc.contributor.author |
Τσαμπάζη, Μαρία
|
el |
dc.date.accessioned |
2022-02-27T19:52:02Z |
|
dc.date.available |
2022-02-27T19:52:02Z |
|
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/54852 |
|
dc.identifier.uri |
http://dx.doi.org/10.26240/heal.ntua.22550 |
|
dc.rights |
Default License |
|
dc.subject |
Διαδίκτυο των πραγμάτων |
el |
dc.subject |
5η, 6η και μετέπειτα γενιές κυψελοειδών δικτύων |
el |
dc.subject |
Μη επανδρωμένα εναέρια οχήματα |
el |
dc.subject |
Επαναπρογραμματιζόμενες έξυπνες επιφάνειες |
el |
dc.subject |
Ελεγχος ισχύος |
el |
dc.subject |
Θεωρία παιγνίων |
el |
dc.subject |
Internet of Things |
en |
dc.subject |
Παιχνίδι Στάκελμπεργκ |
el |
dc.subject |
Μη ορθογωνική τεχνική πολλαπλής πρόσβασης |
el |
dc.subject |
5G, 6G, B5G, Unmanned aerial vehicles |
en |
dc.subject |
Reconfigurable intelligent surfaces |
en |
dc.subject |
Power control |
en |
dc.subject |
Game theory |
en |
dc.subject |
Stackelberg game |
en |
dc.subject |
Non-orthogonal multiple access technique |
en |
dc.title |
Ενεργειακά αποδοτικές επικοινωνίες πολλαπλών χρηστών υποβοηθούμενες από έξυπνες επαναπρογραμματιζόμενες επιφάνειες
και μη επανδρωμένα εναέρια οχήματα |
el |
heal.type |
bachelorThesis |
|
heal.classification |
Simulation |
en |
heal.language |
el |
|
heal.language |
en |
|
heal.access |
free |
|
heal.recordProvider |
ntua |
el |
heal.publicationDate |
2021-06-01 |
|
heal.abstract |
Undeniably, the 5th Generation of wireless cellular networks (5G) is expected to meet
the demands for massive user connectivity in the forthcoming Internet of Things networks,
which are expected to become a core component of the smart city environments. Therefore,
modern telecommunication systems must be properly designed so as for the aforementioned
needs to be met in an energy efficient way. Unmanned Aerial Vehicles (UAVs) are already
being used in smart cities environments as flying mobile base stations which provide on demand connectivity and at the same time eradicate presumptuous coverage holes, even
in the case where the propagation conditions are unfavorable. On the other hand, Re configurable Intelligent Surfaces (RISs) provide the advantage of control over the wireless
propagation environment, since they mitigate phenomena such as shadowing and fading
which cause undesirable signal attenuation. In addition, the Non-Orthogonal Multiple
Access Technique (NOMA), which is widely used in 5G networks, permits the massive
connectivity and service of users by the base stations. The distributed resource allocation
in wireless networks can be achieved through a game-theoretic approach, such as the non cooperative Stackelberg Game of a single-leader and multiple-followers, in a way that the
achieved signal strength at the UAV and the users’ energy efficiency get simultaneously
optimized. The UAV, the leader of the Stackelberg Game, is the base station which can
determine the optimal phase shifts of the RIS’ elements in an intelligent manner so as for
the beamforming of the reflected waves to be realized. The outcome of the former action
will be the maximization of the total signal strength at the base station. On the other
hand, the followers of the aforementioned game, i.e., the users, are already aware of the
optimal phase shifts’ values, and thus, can optimize their achieved energy efficiency by
transmitting with a proper transmission power. In this work, we demonstrate the contri bution of the aforementioned technologies towards the received satisfaction of the users
and their power savings via a detailed theoretical analysis and numerical results stemming
from simulations. |
en |
heal.advisorName |
Papavassiliou, Symeon |
en |
heal.committeeMemberName |
Παπαβασιλείου, Συμεών |
el |
heal.committeeMemberName |
Βαρβαρίγου, Θεοδώρα |
el |
heal.committeeMemberName |
Ρουσσάκη, Ιωάννα |
el |
heal.academicPublisher |
Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Επικοινωνιών, Ηλεκτρονικής και Συστημάτων Πληροφορικής |
el |
heal.academicPublisherID |
ntua |
|
heal.numberOfPages |
68 σ. |
el |
heal.fullTextAvailability |
false |
|