TY - JOUR
T1 - CoBRA
T2 - Cooperative beamforming-based resource allocation for self-healing in SON-based indoor mobile communication system
AU - Lee, Kisong
AU - Lee, Howon
AU - Jang, Yong Up
AU - Cho, Dong Ho
PY - 2013/11
Y1 - 2013/11
N2 - For the purpose of automating network management, self-organizing network (SON) technology is currently being investigated. There are three important issues in SON: self-configuration, self-optimization, and self-healing. This paper focuses on self-healing, in order to resolve the problem of unexpected network faults and improve network throughput simultaneously. To deal with this problem, we propose a healing channel selection and a cooperative beamforming-based iterative resource allocation algorithms. We utilize the cooperative beamforming in the healing channel based on phase pre-adjustment, and this cooperative beamforming can be performed without power cooperation between distributed nodes. Moreover, we derive the sub-optimality and convergence of the proposed algorithm in weak interference condition by using contraction mapping. Finally, simulation results demonstrate that the proposed algorithm improves average cell capacity and user fairness while repairing network failure effectively.
AB - For the purpose of automating network management, self-organizing network (SON) technology is currently being investigated. There are three important issues in SON: self-configuration, self-optimization, and self-healing. This paper focuses on self-healing, in order to resolve the problem of unexpected network faults and improve network throughput simultaneously. To deal with this problem, we propose a healing channel selection and a cooperative beamforming-based iterative resource allocation algorithms. We utilize the cooperative beamforming in the healing channel based on phase pre-adjustment, and this cooperative beamforming can be performed without power cooperation between distributed nodes. Moreover, we derive the sub-optimality and convergence of the proposed algorithm in weak interference condition by using contraction mapping. Finally, simulation results demonstrate that the proposed algorithm improves average cell capacity and user fairness while repairing network failure effectively.
KW - Collaborative resource allocation
KW - Cooperative beamforming
KW - Fairness
KW - Self-healing
KW - Self-organizing network
UR - http://www.scopus.com/inward/record.url?scp=84895064969&partnerID=8YFLogxK
U2 - 10.1109/TWC.2013.092013.121429
DO - 10.1109/TWC.2013.092013.121429
M3 - Article
AN - SCOPUS:84895064969
SN - 1536-1276
VL - 12
SP - 5520
EP - 5528
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 11
ER -