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This paper deals with the coverage probability analysis of Massive MIMO networks with random topology. Poisson Point Process is a popular stochastic geometry approach for finding the location of nodes in a network. But in this model, the spatial correlations among the nodes are negligible; and hence this model is not realistic in nature. Also, this model is not suited for repulsion between the nodes that will perform. For repulsion between the nodes, Ginibre point process (GPP) is a determinant point process (DPP) proposed in this paper to model the network with repulsion considered as a realistic model. There are two centric approaches used in Massive MIMO Networks. One is Base station centric approach and another one is user centric approach. The use centric approach is preferred in this paper due to proper handling interference co-ordination based on the distance between home BS base station and interfering BS’s, the interference is reduced. By using this method, the critical interferences are eliminated and there is no cluster edge user used in this method. This method is known as user centric interference coordination. In base station centric approach, in interference management method, the base station (BS) is located at center which performs interference coordination and at the user at cluster edge suffers the severe interference. The closed form expression for coverage probability for uplink data transmission is derived using the GPP and user centric approach. Numerical and simulation results are analyzed and compared.
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- Uplink SINR Analysis in Massive MIMO Systems Using Ginibre Point Process
S. J. Thiruvengadam
- Springer US