Title :
A novel method of baseband pool resource allocation in Cloud Radio Access Network system
Author :
Qiong Jia; Bingbing Li; Min Huang
Author_Institution :
State Key Laboratory of Integrated Services Networks, Xidian University, Xi´an, Shaanxi, China 710071
Abstract :
In order to improve the resource utilization and the operating revenue, also to reduce the power consumption and the total delay, the baseband pool resource management of CRAN (Cloud Radio Access Network) is studied in this paper. The baseband pool resources are divided into shared resources and fixed resources. Based on this classification, with the goal of maximizing the revenue, a novel resource allocation model is established, where the fixed resources are used preferentially when the available resource is sufficient to provide service to users, and when the system load is large, the shared resources will be utilized and the control center will allocate resources according to the priority of users and the current usage of the resources. Finally, the simulation results show the superiority of the proposed method.
Keywords :
"Resource management","Load modeling","Standards","Baseband","Dynamic scheduling","Radio access networks","Multiaccess communication"
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
DOI :
10.1109/FSKD.2015.7382263