Title
Energy-Efficient Resource Allocation In C-Ran With Fronthaul Rate Constraints
Abstract
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. Hut 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 multiRRH, we propose a Modified Particle Swarm Optimization(MP50) 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.
Year
Venue
Keywords
2016
2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP)
Cloud radio access network(C-RAN), fronthaul capacity constraint, quantization, OFDMA, energy efficiency(EE), user-centric, joint optimization, Modified PSO
Field
DocType
ISSN
Computer science,Efficient energy use,Orthogonal frequency-division multiple access,Computer network,C-RAN,Real-time computing,Cellular network,Quantization (signal processing),Radio access network,Mobile telephony,Telecommunications link
Conference
2325-3746
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yuan Sun1101.92
Chunguo Li237953.04
Yongming Huang31472146.50
Luxi Yang41180118.08