dc.contributor.author | Iradukunda, Silvan | |
dc.date.accessioned | 2021-05-11T07:29:31Z | |
dc.date.available | 2021-05-11T07:29:31Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Iradukunda, S. (2020). Handover management for flying objects (UAVS). (Unpublished undergraduate dissertation) Makerere University. Kampala, Uganda. | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/10648 | |
dc.description | A Dissertation submitted in partial fulfillment of the requirements for the award of
the degree of Bachelor Of Science in Telecommunications Engineering | en_US |
dc.description.abstract | This thesis presents a handover management for Unmanned Aerial Vehicle (UAV) networks.
Currently, Ad-hoc network construction without network infrastructure gains much attention.
One promising solution is to construct an aerial network by using Drones, which is so called Net-
Drones. The Drones act as access points to users on the ground and can provide the network
connection that is required, which can be useful in areas where network infrastructure has been
destroyed by natural disasters or network overloading due to sudden population increase in
scenarios like sports events.
Handover management for UAV aerial networks is key in achieving optimal network
performance in the aforementioned areas. These networks face numerous challenges such as
limited battery capacity for UAVs, time varying nature of the aerial environment leading to
frequent handovers and Co-Channel Interference (CCI). Particularly, failure to resolve the
frequent handover issues will result into not only unsuccessful seamless handover but also the
unnecessary frequent handover trials or attempts. An effective coverage decision algorithm has
been proposed whose objective is to adjust the UAV height and the UAV separation distance.
We derive closed form expressions that are used to obtain the probabilities of seamless handover
success (Ps) and the false handover initiation (Pf) which are used to evaluate the coverage
decision algorithm that has been proposed.
Using these closed form expressions, the optimal handover success probability is determined
while the optimal UAV separation distance and height is decided to maximize the SINR and
mitigate interference as much as possible for this method. Finally, numerical results are obtained
to justify the derived expressions and show the impact of the major system parameters on the
performance of the network.
Lastly, conclusion and future recommendations are provided to assist in the succeeding research prospects | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere University | en_US |
dc.subject | Handover management | en_US |
dc.title | Handover management for flying objects (UAVS) | en_US |
dc.type | Thesis | en_US |