Title :
Modeling of tracking area list-based location update scheme in Long Term Evolution
Author :
Xian Wang ; Xianfu Lei ; Hu, Rose ; Yi Qian
Author_Institution :
Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
Abstract :
Long Term Evolution uses a new location update (LU) scheme, called a tracking area list (TAL)-based scheme, to overcome the defects of the LU scheme used in 2G and 3G cellular networks. Under the TAL-based LU scheme, each time a user equipment (UE) performs an LU, it is allocated a group of tracking areas, referred to as a TAL, within which the UE can move freely without any LU. The UE performs an LU when moving out of the TAL. The performance of the TAL-based LU scheme depends on the allocated TAL. In this paper we develop a mathematical model to analyze the signaling overhead of the TAL-based LU scheme for local UEs whose mobility exhibits strong regularity. We derive formulas for the LU cost and the paging cost of a TAL allocation strategy. With these formulas we can find an optimal TAL allocation strategy to minimize the signaling cost of the TAL-based LU scheme.
Keywords :
Long Term Evolution; cellular radio; mobile computing; mobility management (mobile radio); modelling; telecommunication signalling; 2G cellular network; 3G cellular network; Long Term Evolution; TAL allocation strategy; TAL-based LU scheme; local UE; location update scheme; mathematical model; signaling cost minimization; signaling overhead; tracking area list modeling; user equipment; Electromagnetic compatibility; GSM; Markov processes; Mobile communication; Mobile computing; Resource management; Steady-state;
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICC.2014.6883670