TY - GEN
T1 - Key technologies for SON in next generation radio access networks
AU - Su, Xin
AU - Zeng, Jie
AU - Xiao, Chiyang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/25
Y1 - 2014/9/25
N2 - The aim of SON (Self-Organizing Network) is to realize the autonomic function of the wireless network by self-configuration, self-optimization and self-healing, which reduces the human intervention and improves the user experience. Self-configuration is a process where newly deployed eNodeB are configured by automatic installation procedures to get the necessary basic configuration for system operation. Self-optimization is a process that continuously monitors an environment and automatically optimizes various parameters when the environment changes. Self-healing is a process that detects and localizes failures, then fixes the problems automatically. This paper gives a comprehensive introduction to the SON functionalities and outlines the framework of self-configuration, self-optimization and self-healing. Some concrete algorithms are proposed for self-optimization and self-healing, which include capacity and coverage optimization and cell outage detection and compensation respectively. Simulation results in various scenarios are provided to evaluate the performance of the proposed algorithms.
AB - The aim of SON (Self-Organizing Network) is to realize the autonomic function of the wireless network by self-configuration, self-optimization and self-healing, which reduces the human intervention and improves the user experience. Self-configuration is a process where newly deployed eNodeB are configured by automatic installation procedures to get the necessary basic configuration for system operation. Self-optimization is a process that continuously monitors an environment and automatically optimizes various parameters when the environment changes. Self-healing is a process that detects and localizes failures, then fixes the problems automatically. This paper gives a comprehensive introduction to the SON functionalities and outlines the framework of self-configuration, self-optimization and self-healing. Some concrete algorithms are proposed for self-optimization and self-healing, which include capacity and coverage optimization and cell outage detection and compensation respectively. Simulation results in various scenarios are provided to evaluate the performance of the proposed algorithms.
KW - Self-Organizing Network
KW - automated configuration
KW - capacity and coverage optimization
KW - cell outage detection and compensation
KW - centralized greedy selecting
KW - centralized simulated annealing
UR - http://www.scopus.com/inward/record.url?scp=84908193772&partnerID=8YFLogxK
U2 - 10.1109/ICCCN.2014.6911745
DO - 10.1109/ICCCN.2014.6911745
M3 - Conference contribution
AN - SCOPUS:84908193772
T3 - Proceedings - International Conference on Computer Communications and Networks, ICCCN
BT - 2014 23rd International Conference on Computer Communication and Networks, ICCCN Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 23rd International Conference on Computer Communication and Networks, ICCCN 2014
Y2 - 4 August 2014 through 7 August 2014
ER -