PROJECT TITLE :
The Connectivity of Millimeter Wave Networks in Urban Environments Modeled Using Random Lattices - 2018
Millimeter-wave (mm-wave) communication unveil tens of giga-hertz spectrum in the mm-wave band for use by next-generation wireless systems, thereby solving the problem of spectrum scarcity. Maintaining connectivity stands out as a key design challenge for mm-wave networks deployed in urban regions due to the blockage effect characterizing mm-wave propagation. During this Project, we tend to launched to research the blockage effect on the connectivity of mm-wave networks during a Manhattan-kind urban region modeled using a random regular lattice, whereas base stations (BSs) are Poisson distributed within the plane. In specific, we tend to analyze the connectivity chance that a typical user is among the transmission range of a BS and connected by a line-of-sight. First, we have a tendency to contemplate one-tier network. By jointly applying the random lattice and stochastic geometry theories, a lower sure on the connectivity likelihood comes as a perform of building parameters (e.g., size and web site occupancy likelihood) and BS parameters (e.g., transmission vary and BS density). For the case of dense buildings, the sure springs during a less complicated type. Next, the preceding lower bounds are tightened primarily based on the geometric technique of partitioning the irregular blockage-free region around the typical user. Moreover, the analysis is generalized to mm-wave channels with each LoS and NLoS paths. Finally, the results are extended to a K-tier heterogeneous network (HetNet), where building heights are random, and relying on its height, a building will block the signals transmitted by a subset of BS tiers however not all. The analysis shows that the connectivity probability of the K-tier HetNet will increase linearly with the quantity of tiers. In general, our work quantifies the relation between the coverage of an mmwave network and therefore the parameters of building and BS processes, providing helpful tips for deploying practical networks during a Manhattan-kind region.
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