TY - GEN
T1 - Anticipatory user plane management for 5G
AU - Sebastian, Peters
AU - Khan, Manzoor Ahmed
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/6
Y1 - 2018/12/6
N2 - The 5G user plane is bound to play a significant role in fulfilling the dynamic demand created from the heterogeneous device layer, with novel concepts introducing the flexible deployment of user plane functions and per-user traffic management. The focus in this paper lies on the dynamic control of 5G's SDNized transport network to optimize the user plane management for mobile users. For this purpose we propose the concept of Anticipatory User Plane Management for 5G, which aims at optimized, learning-based and foresighted user plane management, reducing the user plane reconfiguration latency caused by users' mobility. In particular we contribute with two different approaches that exploit the prediction of user behavior for improved post-handover procedures, i) by suitable selection of intermediate UPFs based on the anticipated user behavior, and ii) by applying a pre-configuration of the user data plane via the means of a novel UPF mode.
AB - The 5G user plane is bound to play a significant role in fulfilling the dynamic demand created from the heterogeneous device layer, with novel concepts introducing the flexible deployment of user plane functions and per-user traffic management. The focus in this paper lies on the dynamic control of 5G's SDNized transport network to optimize the user plane management for mobile users. For this purpose we propose the concept of Anticipatory User Plane Management for 5G, which aims at optimized, learning-based and foresighted user plane management, reducing the user plane reconfiguration latency caused by users' mobility. In particular we contribute with two different approaches that exploit the prediction of user behavior for improved post-handover procedures, i) by suitable selection of intermediate UPFs based on the anticipated user behavior, and ii) by applying a pre-configuration of the user data plane via the means of a novel UPF mode.
KW - 5G User Plane
KW - Anticipatory Network Management
KW - Learning
KW - Mobility Prediction
KW - QoS Maximization
KW - SDN
KW - Transport Network Management
UR - http://www.scopus.com/inward/record.url?scp=85060225382&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060225382&partnerID=8YFLogxK
U2 - 10.1109/SC2.2018.00009
DO - 10.1109/SC2.2018.00009
M3 - Conference contribution
AN - SCOPUS:85060225382
T3 - Proceedings - 8th IEEE International Symposium on Cloud and Services Computing, SC2 2018
SP - 9
EP - 15
BT - Proceedings - 8th IEEE International Symposium on Cloud and Services Computing, SC2 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Symposium on Cloud and Services Computing, SC2 2018
Y2 - 19 November 2018 through 22 November 2018
ER -