Probability weighted based spectral resources allocation algorithm in Hetnet under Cloud-RAN architecture

The explosive growth of wireless multimedia services skyrockets the demand for system capacity of the cellular communication network. The heterogeneous network (Hetnet) has been widely accepted as an effective wireless networking method to improve system capacity. However, multi-tier networking architecture and the great number of small cells coexisting with macrocell make the interference management and spectral resources management more complex. The corresponding problems thus draw great attentions in 3GPP standardization process. In this paper, we introduce the cloud radio access network (Cloud-RAN), which is seen as a low cost delivery method of cellular networks, into spectral resources management and interference management of Hetnet. To achieve effective spectral resources management and interference management in this architecture, the following contributions are further made: 1) the spectral resources allocation optimization problem of Hetnet is constructed, comprehensively considering the mutual interference, spectral efficiency and quality of service (QoS); 2) to solve the optimization problem, we propose the probability weighted based spectral resources allocation algorithm; 3) to analyse the influence of the proposed algorithm to the infrastructure network (e.g., macrocell), the closed-form outage probability of macrocell users is derived. Finally, the comparison results show that the proposed algorithm has higher frequency reuse efficiency and lower outage probability of macrocell users.