Green Spectrum Assignment in Secure Cloud Radio Network with Cluster Formation

Abstract

As the occurrence of cloud computing, the exponential growth of various application services results in the urgent demand for green computing and resource sustainability on the premise of guaranteeing service performance. Especially, Cloud Radio Access Network (CRAN) has been recognized as a promising approach to provide smart computing and sustainable resource usage for fulfilling the increasing traffic demand. Moreover, the secure network environment is also a vital element for achieving reliable application services. In this paper, we propose a cluster-based secure Cloud Radio Access Network (CSC-RAN), which optimizes the trade-off between performance and resource utilization to satisfy the requirements of the sustainable green network. Based on the powerful ability of cloud computing, the abundant network resource can be dynamically allocated according to the varying traffic. A traffic-aware RRHs cluster formation (TRCF) algorithm is proposed for realizing efficient resource utilization while improving the Quality of Service(QoS). Furthermore, a spectrum allocation genetic algorithm (SAGA) is introduced to solve the optimal spectrum allocation problem for the formatted cluster, which is proved to be a mixed-integer programming problem. Finally, the effectiveness of the TRCF and SAGA algorithms are verified through a series of numerical simulations.