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Entropy Weighted Method Handover for 5G-UAV Systems in Urban Environments

EasyChair Preprint no. 6149

7 pagesDate: July 23, 2021


The demand for increased data transfer rate and network traffic capacity has given rise to the concept of heterogenous networks. Heterogeneous networks are wireless networks, consisting of devices using different underlying radio access technologies (RAT). In an urban heterogeneous network environment, Unmanned Aerial Vehicles (UAVs) must be able switch seamlessly from one base station to another for maintaining a reliable link. Therefore, seamless handover in such environments have become a major challenge. In this paper, a novel scheme to achieve seamless handover is developed, an algorithm based on Received Signal Strength (RSS) criterion for network selection is used and Entropy Weighted Property (EWM) is implemented for decision making. Seamless handover using EWM decision-making is demonstrated successfully for a UAV moving across fifth generation(5G) and long-term evolution (LTE) networks via a simulation level analysis. Thus, a solution for UAV-5G communication, specifically the mobility challenge in heterogeneous networks is solved and this work could act as step forward in making UAV-5G architecture integration a possibility.

Keyphrases: air to ground (A2G), Fifth Generation(5G), Handover, Mobility, Unmanned Aerial Vehicle (UAV), urban environment

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Anirudh Sunil Warrier and Saba Al-Rubaye and Dimitrios Panagiotakopoulos and Gokhan Inalhan and Antonios Tsourdos},
  title = {Entropy Weighted Method Handover for 5G-UAV Systems in Urban Environments},
  howpublished = {EasyChair Preprint no. 6149},

  year = {EasyChair, 2021}}
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