TY - GEN
T1 - An experimental system for verifying topology changes in mobile communication networks
AU - Tsvetkov, Tsvetko
AU - Ali-Tolppa, Janne
AU - Sanneck, Henning
AU - Carle, Georg
N1 - Publisher Copyright:
© 2017 IFIP.
PY - 2017/7/20
Y1 - 2017/7/20
N2 - Automatic Configuration Management (CM) parameter change assessment, the so-called Self-Organizing Network (SON) verification, is an important enabler for stable and high-quality modern mobile communication networks. However, it also presents a new set of challenges. While improving network stability and resolving unexpected conflicts caused by parallel configuration changes, SON verification can have trouble coping with very dynamic networks that exhibit frequent topology changes. Such changes can be, for example, due to energy saving features which try to maximize the energy efficiency of a mobile network by adapting the topology to the network traffic. The experimental system presented in this paper demonstrates a new paradigm for handling such changes. It extends the currently available SON verification principles by providing a solution for the assessment of the impact of topology changes and for correcting them, in case the changes lead to degraded performance. The system includes a wide variety of visualization capabilities, including the various network states, user behavior, and performance statistics.
AB - Automatic Configuration Management (CM) parameter change assessment, the so-called Self-Organizing Network (SON) verification, is an important enabler for stable and high-quality modern mobile communication networks. However, it also presents a new set of challenges. While improving network stability and resolving unexpected conflicts caused by parallel configuration changes, SON verification can have trouble coping with very dynamic networks that exhibit frequent topology changes. Such changes can be, for example, due to energy saving features which try to maximize the energy efficiency of a mobile network by adapting the topology to the network traffic. The experimental system presented in this paper demonstrates a new paradigm for handling such changes. It extends the currently available SON verification principles by providing a solution for the assessment of the impact of topology changes and for correcting them, in case the changes lead to degraded performance. The system includes a wide variety of visualization capabilities, including the various network states, user behavior, and performance statistics.
UR - http://www.scopus.com/inward/record.url?scp=85029443183&partnerID=8YFLogxK
U2 - 10.23919/INM.2017.7987398
DO - 10.23919/INM.2017.7987398
M3 - Conference contribution
AN - SCOPUS:85029443183
T3 - Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management
SP - 889
EP - 890
BT - Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management
A2 - Chemouil, Prosper
A2 - Simoes, Paulo
A2 - Madeira, Edmundo
A2 - Secci, Stefano
A2 - Monteiro, Edmundo
A2 - Gaspary, Luciano Paschoal
A2 - dos Santos, Carlos Raniery P.
A2 - Charalambides, Marinos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017
Y2 - 8 May 2017 through 12 May 2017
ER -
