Topics: 5G communications and architectures; Green (energy-ecient) wireless communications; Radio resource allocation/management
Authors: Ying Loong Lee (Multimedia University (MMU), Malaysia); Li-Chun Wang (National Chiao Tung University, Taiwan); Teong Chee Chuah (Multimedia University, Malaysia); Jonathan Loo (Middlesex University, United Kingdom)
Presenter Bio: Ying Loong Lee received the B.Eng. (Hons.) degree in electronics
majoring in telecommunications from Multimedia University, Malaysia, in
2012. He is currently working toward the Ph.D. degree in the area of
telecommunications at the same university. His research interests
include radio resource management for heterogeneous cellular networks
and heterogeneous cloud radio access networks.
Abstract: Cloud
radio access networks (C-RANs) have been regarded as a promising
architecture for energy-efficient fifth generation systems. In this
paper, a new joint remote radio head (RRH) activation, user-RRH pairing
and resource allocation strategy is proposed for heterogeneous C-RANs
(H-CRANs). We first formulate an optimization problem to maximize the
energy efficiency of H-CRANs. Then, a low-complexity suboptimal solution
is developed. Our proposed mechanism consists of three key procedures:
1) RRH activation is performed based on greedy RRH selection; 2)
user-RRH pairing is performed based on the channel quality; 3) the
resource allocation problem is solved by dual decomposition. Simulation
results show that the proposed strategy can improve energy efficiency
significantly.
