Success coverage probability for dynamic resource allocation in small cell networks

To guarantee the rapidly increasing applications of electrical consumer, ultra small cells have been proposed to provide high spectral efficiency. However, which are severely constrained by the inter-cell interference (ICI) when the system load is high, and the enhanced inter-cell interference coordination (eICIC) is key to improving performance. To quantify the performance gains from eICIC to the load-varied small cells, a stochastic-geometry model is established in this paper, and the successful coverage probability with a dynamic frequency resource allocation (DFRA) scheme adaptive to the varied system load is researched, in which the small cell base station (SCBS) location is modeled as a Poisson point process. The proposed DFRA scheme can decrease ICI through the cooperation of adjacent SCBSs, which results in the correlated spectral usage in adjacent SCBSs. Several approximations are used to handle this kind of correlation, and a Bayesian theory based evaluation method is proposed to derive the asymptotic expression of successful coverage probability. Simulation results show that these approximated expressions match well with the simulated results, and the proposed DFRA can effectively decrease ICI and significantly increase the success coverage probability.