Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 9, Pages: 1-9
C. Ajaegbu1*, O.O Adetunji1, O. Awodele1, S.O. Ogunlere1 and R. U. Kanu2
1Department of Computer Science ,Babcock University, Ilishan-Remo, Ogun State, Nigeria; [email protected], [email protected], [email protected],
2Department of Basic Science, Babcock University, Ilishan-Remo, Ogun State, Nigeria;
*Author for correspondence
Department of Computer Science ,Babcock University, Ilishan-Remo, Ogun State, Nigeria.
Email: [email protected]
Objectives: The study aimed at deploying Drone Base Station (DBS) within a selected area of a campus network and performed simulation using required parameters to ascertain performance level. Methods/Statistical Analysis: The researchers employed a circular placement method where the centre of the designed area was of utmost importance to ascertain, resulting to modelling of the drone base station deployment in a horizontal dimension. The total width of the building was also considered which formed a guide in determining the actual centre of the area under consideration, where altitude consideration was paramount. Findings: In the presented simulation figures, the horizontal distance between the drone base station and the user (r) was tested using two different values. The two different values were considered and numerically established in consideration to the separate existing blocks within the campus high congestion area. It showed different result in the path loss in block A, while the coverage area for both values of r appears to be same. However, it was observed that the altitude of coverage when r is 20 is higher than when r is 50 in the first simulation graph while block B and C showed slight difference which could be attributed to the change in their altitudes. This result also showed conformity with existing literature in the optimum deployment of DBS although deployment of DBS resulting to a kind of partitioning a closet has not really been tested within the cited literature. Thus, new frontier of managing effectively a macro cell and micro cell deployment within a closet like a campus network. Application/Improvement: The idea is encouraged in a campus/similar network with high traffic anddid not consider the possibility of interference. Hence, further studies in this direction.
Keywords: Base Station and Mobile Users, Campus Network, Deployment, Drone
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