Energy-efficient resource allocation in C-RAN with fronthaul rate constraints

• Published in: International Conference on Wireless Communications and Signal Processing pp. 1 - 6
• Main Authors: Yuan Sun, Chunguo Li, Yongming Huang, Luxi Yang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2016
• Subjects: Bandwidth; Cloud radio access network(C-RAN); energy efficiency (EE); fronthaul capacity constraint; joint optimization; Mobile communication; Modified PSO; OFDMA; Optimized production technology; quantization; Quantization (signal); Resource management; Uplink; user-centric
• ISSN: 2472-7628
• DOI: 10.1109/WCSP.2016.7752729

Cloud Radio Access Network (C-RAN) is a novel mobile network architecture which can solve lots of challenges in the next generation mobile communication system, including the demand for higher energy efficiency(EE). In C-RAN EE research field, most of recent work focuses on systematic energy saving and ignores the needs of users. To improve the performance of C-RAN under fronthaul capacity constraint, signal quantization techniques have been developed. But how to introduce `quantization' into C-RAN EE field is still an open issue. Motivated by this, in this paper, based on informational-optimal Gaussian quantization, we intend to design the suitable algorithms to maximize user-centric EE in the uplink communication of an orthogonal frequency division multiple access (OFDMA) based C-RAN. In the special case of single user and single RRH, we propose a joint optimization algorithm to maximize the uplink user-centric EE by optimizing power and fronthaul rate allocation. In the extended general case of multi-user and multi-RRH, we propose a Modified Particle Swarm Optimization(M-PSO) algorithm to solve the non-linear and non-convex issue for simplicity. Our simulation results show the proposed algorithms can improve the user-centric EE obviously compared with other optimal algorithms.