This paper presents a non-full interference analysis to derive the coverage probability when the shared spectrum allocation technique is applied to the homogeneous Poisson point process (PPP) network. Each cell is partitioned into two regions based on the strength of the signal to interference ratio (SINR): the cell center region if the SINR is more significant than a threshold and cell edge region otherwise. In our model, a given resource block (RB) is allocated to one user in a cell and cannot be shared by another user. The RB is hence divided into two sub-bands, which will be used exclusively according to whether the user is a cell center or cell edge user, letting a part of the RB unused in order to reduce the interference to the other cell. This scenario implies that the interfering set of base stations (BS) depends on the coverage probability of the typical user. We prove that the interfering BS set is a thinned version of the original PPP and is related to the probability of coverage of the cell center region. Results show that the scheme increases the network's global coverage probability. Index Terms-Cell center user, cell edge user, coverage probability, Poisson point process.

Inspired by the subject of performance enhancement of users located at the edge of cells in cellular networks, this paper studies a centralized frequency reuse scheme depending on the link quality of users within the Voronoi cell of the serving base station (BS) for the homogeneous Poisson point process (PPP) network. To quantify how much a user experiencing performance degradation, we consider that each cell is partitioned into multiple regions based on the strength of the signal to interference ratio. In our model, a given resource block (RB) is allocated to one user in a cell and cannot be shared by another user in this cell. The RB is divided into multiple subchannels and the user of interest uses only one of the multiple sub-channels, the mapping depending on the region in which the user belongs, letting a part of the RB unused to reduce the interference to the other cells. This scenario implies that the interfering set of BS depends on the coverage probability of the typical user. We tightly approximate the interfering BS set as a thinned version of the original PPP depending on the probability of coverage of each type of user. Results show that the scheme increases the network's global coverage probability and enhances spectral efficiency by comparing the known fractional frequency reuse scheme.

This paper presents a user-centric frequency reuse scheme depending on the user classification in the cell in a homogeneous Poisson point process network. Each cell is partitioned into multiple regions delimited by the signal-to-interference ratio of the user considered. A given resource block (RB) is assigned to one user in a cell and cannot be shared by another user in this cell. The typical user only uses a fraction of the RB, and the remaining part is left unused to avoid interference with the other cells. The base stations (BS) interfering set is hence determined by the coverage probability of the typical user, and this set can be approximated by a thinned version of the original PPP. Using this, coverage probability and spectral efficiency (SE) for each user types are derived, and a BS cooperation technique is proposed to improve the SE of the cell edge user. Finally, the average network spectral efficiency and fairness among users are analyzed under the developed theoretical framework. Our results show that the user-centric frequency reuse improves the coverage probability and the SE compared to the conventional frequency reuse scheme.