PROJECT TITLE :
A Stochastic Geometry Framework for Analyzing Pairwise-Cooperative Cellular Networks
Cooperation in cellular networks could be a promising theme to enhance system performance, especially for cell-edge users. In this work, stochastic geometry is used to investigate cooperation models where the positions of base stations follow a Poisson point process distribution and where Voronoi cells define the planar areas related to them. For the service of every user, either one or 2 base stations are concerned. If 2, these cooperate by exchange of user knowledge and channel connected data with conferencing over some backhaul link. Our framework typically permits for variable levels of channel information at the transmitters. This paper is concentrated on a case of restricted information based mostly on Willems' encoding. The total per-user transmission power is split between the two transmitters and a standard message is encoded. The call for a user to choose service with or without cooperation is directed by a family of geometric policies, relying on its relative position to its two closest base stations. An precise expression of the network coverage probability comes. Numerical evaluation shows average coverage edges of up to seventeenp.c compared to the non-cooperative case. Various alternative network issues of cellular cooperation, like the absolutely adaptive case, can be analyzed inside our framework.
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