Joint Fronthaul Rate Allocation and Power Control in OFDMA-based C-RANs:Multi-Objective Approach
Yuan Sun, Chunguo Li, Yongming Huang and Luxi Yang
Cloud Radio Access Network (C-RAN), which shifts the Baseband Units(BBUs) from traditional base stations to form the centralized computing cloud, is considered as a novel mobile network architecture which can solve lots of challenges the operators face in the next generation mobile communication system, including the demand for higher front-haul efficiency (FE), spectral efficiency (SE) and energy efficiency (EE). However, these objectives conflict with each other in most cases when the improvements in one objective cause degradation in other objectives. To the authors’ best knowledge, the problem of multi-objective optimization (MOO) in C-RAN is still an open issue. In this paper, we aim to design proper joint optimization algorithms to solve the MOO resource allocation problems in OFDMA-based CRANs. The simulation results indicate our algorithms could balance the tradeoff between multiple objectives effectively and provide a new perspective for resource allocation in C-RANs.
Keywords: Cloud radio access network (C-RAN), orthogonal frequency division multiple access (OFDMA), resource allocation, Multi-Objective Optimization (MOO), joint optimization