In this paper, we develop a model-based optimization technique for JT CoMP (Joint transmission Coordinated Multi-Points) in the context of Cloud based Radio Access (C-RAN) and 5G networks. The objective is to ease decisions on the distribution of resources between CoMP and non-CoMP users according to the traffic load. We propose a mathematical queuing model which parameters are computed from real radio conditions that we reproduced in a cluster of cells. We use a closed form formula that fits the behavior of the considered scheme and allows the analysis of the cell throughput according to traffic load, radio conditions and the distribution of available resources among the CoMP and non-CoMP users within the cooperative macro cells. Moreover, the computation speed of the results allows us to develop a complex optimization model. The relevance of our work is that it can be integrated as a resource management tools to decide quickly on the distribution of the available resources among the CoMP and non-CoMP users of the cooperative macro cells to achieve the optimal capacity of the cells in terms of user throughput. As a perspective, the proposed queue-based model can be used in order to define the traffic load in order to dimension the front-haul links and the BBU pool in C-RAN.