Coverage Gains from the Static Cooperation of Mutually Nearest Neighbours

@article{Corrales2016CoverageGF,
  title={Coverage Gains from the Static Cooperation of Mutually Nearest Neighbours},
  author={Luis David Alvarez Corrales and Anastasios Giovanidis and Philippe Martins},
  journal={2016 IEEE Global Communications Conference (GLOBECOM)},
  year={2016},
  pages={1-6}
}
Cooperation in cellular networks has been recently suggested as a promising scheme to improve system performance. In this work, clusters are formed based on the Mutually Nearest Neighbour relation, which defines which stations cooperate in pair and which do not. When node positions follow a Poisson Point Process (PPP) the performance of the original clustering model can be approximated by another one, formed by the superposition of two PPPs (one for the singles and one for the pairs) equipped… 

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References

SHOWING 1-10 OF 16 REFERENCES
A Stochastic Geometry Framework for Analyzing Pairwise-Cooperative Cellular Networks
TLDR
Stochastic geometry is used to analyze cooperation models where the positions of base stations follow a Poisson point process distribution and where Voronoi cells define the planar areas associated with them, focused on a case of limited information based on Willems' encoding.
A 0–1 program to form minimum cost clusters in the downlink of cooperating base stations
TLDR
This work highlights the combinatorial nature of the problem, exploits this to describe the system of users and base stations as a graph and formulate a pure 0-1 program, which suggests a cost optimal way to form clusters and assign user subsets to them.
Coordinated Multipoint Joint Transmission in Heterogeneous Networks
TLDR
Numerical evaluations illustrate absolute gains in coverage probability for the general user and the worst case user compared with the noncooperative case and it is shown that no diversity gain is achieved using noncoherent joint transmission, whereas full diversity gain can be achieved at the receiver if the transmitting base stations have channel state information.
Interference Coordination: Random Clustering and Adaptive Limited Feedback
TLDR
This paper model the base stations locations as a Poisson point process to provide a better analytical assessment of the performance of coordination and illustrates how this analysis can help solve network design problems such as identifying regions where coordination provides gains based on average cluster size, number of antennas, and number of feedback bits.
Success probabilities in Gauss-Poisson networks with and without cooperation
TLDR
The GPP is proposed as a model for wireless networks that exhibit clustering behavior and the bounds, especially the upper bounds, provide good approximations for different operating regimes.
A Tractable Model for Noncoherent Joint-Transmission Base Station Cooperation
TLDR
A tractable model for analyzing noncoherent joint-transmission base station (BS) cooperation is presented, taking into account the irregular BS deployment typically encountered in practice, and the signal-to-interference-plus-noise ratio (SINR) distribution with cooperation is precisely characterized in a generality-preserving form.
A Tractable Approach to Coverage and Rate in Cellular Networks
TLDR
The proposed model is pessimistic (a lower bound on coverage) whereas the grid model is optimistic, and that both are about equally accurate, and the proposed model may better capture the increasingly opportunistic and dense placement of base stations in future networks.
Multi-Cell MIMO Cooperative Networks: A New Look at Interference
TLDR
An overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks is presented and a few promising and quite fundamental research avenues are also suggested.
Studying the SINR Process of the Typical User in Poisson Networks Using Its Factorial Moment Measures
TLDR
The presented framework consisting of the mathematical representations of SINR characteristics with respect to the factorial moment measures holds for the whole domain of SinR, and is amenable to considerable model extension.
Fundamentals of Cluster-Centric Content Placement in Cache-Enabled Device-to-Device Networks
TLDR
A new generative model for cluster-centric D2D networks is developed that allows to study the effect of intra-cluster interfering devices that are more likely to lie closer to the cluster center.
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