Paper Info
Title
User Association Algorithm of Downlink C-RANs with Edge Caching and Fronthaul Compression.
Abstract
With the rapid development of real-time applications in the Internet of Things, people have paid more and more attention on the traffic delay and power consumption. Cloud radio access networks (C-RANs) are seen as a novel network architecture with significant advantages in reducing latency and power consumption on control and data planes. In this paper, we aim to minimize the product of average delay and power consumption in a downlink C-RAN with a hierarchical structure of virtual controllers and high-speed but limited-capacity fronthaul links, by simultaneously considering edge caching and user association. We first study average delay model and power consumption model separately with fronthaul compression technique which is adopted to alleviate the capacity constraint of fronthaul links. Due to the NP-hardness of the user association problem, we propose a low-complexity heuristic algorithm according to the distance and caching of each RRH to find solutions. Meanwhile, the inefficient RRHs are turned into sleep mode to reduce power consumption. Simulation results reveal that the proposed algorithm achieves a better performance in terms of average delay and power consumption than three baseline algorithms.
Year
DOI
Venue
2019
10.1109/ICCT46805.2019.8947152
ICCT
Field
DocType
Citations 
Reynolds-averaged Navier–Stokes equations,Latency (engineering),Heuristic (computer science),Computer science,Algorithm,Network architecture,C-RAN,Computer network,Real-time computing,Sleep mode,Telecommunications link,Cloud computing
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yachao Xu100.34
Jun Zhang29511.09
Shu Cai329217.35
Yulun Cheng400.34
Hairong Wang500.34