IEEE Efficient 3-D placement of an aerial base station in next generation cellular networks. Paper presented at: 2016 IEEE International Conference on Communications (ICC).
However, existing studies have predominantly focused on optimizing base station placement using two-dimensional mapping, yet they often overlook two critical factors: the shielding effect of buildings on signal propagation and the substantial influence of antenna height on coverage area and signal quality .
Additionally, at their new locations, these behaviors are adjusted to facilitate accurate coverage estimation from the base stations they serve. In the deployment optimization of UAVs, the placement of base stations is determined using received signal strength data obtained through the ray-tracing-based channel modeling technique.
The base station deployment method proposed in this study dynamically optimizes the base station layout based on annual environmental change characteristics.
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We propose a novel systematic approach for the deployment optimization of unmanned aerial vehicles (UAVs). In this context, this study focuses on enhancing the …
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Learn MoreWe have studied Chan-Taylor two-dimensional positioning algorithm and propose an innovative Chan-Taylor three-dimensional positioning algorithm. And we apply it to the indoor …
Learn MoreUAVs can be used as flying base stations without an infrastructure to improve coverage, capacity, line-of-sight (LoS) connection, and rate performance in wireless …
Learn MoreTo solve the problems of unreasonable deployment and high construction costs caused by the rapid increase of the fifth generation (5 G) base stations, this article proposes a …
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Learn MoreThis paper addresses the three-dimensional deployment problem of UAV aerial base stations equipped with edge servers in emergency rescue scenarios. A UAV deployment and …
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