LTE networks consist of tracking areas (TAs) or a group of cells, while several TAs constitute a TA list (TAL). The LTE network adopts TAL-based registration, where, if the user equipment (UE) enters a TA that is not in its current TAL, the UE registers the TA to inform the network of its new location. A central policy for TAL allocation, known as a TA-based central policy, was proposed for TAL-based registration. Under the central policy, the TA in which the UE registers its location becomes the central TA of the new TAL. This policy can lessen the possibility of the UE quickly exiting the new TAL. However, considering the actual network architecture, it makes TAL-based registration a challenge to implement. Thus to mitigate this problem, a cell-based central policy is proposed. This study investigates TAL-based registration with cell-based central policy (TbRcc) for LTE networks. TAL-based registration with cell-based central policy and single-cell TA (TbRcc1c) is also proposed to reduce the registration cost and make up the optimal TAL. Furthermore, an improved analysis model is presented to reflect the effect of the implicit registration of calls and obtain the exact cost. Comparing the performance of the proposed scheme with those of classical TAL-based registration and distance-based registration, the performance of the proposed scheme is shown to improve. The results of this study can help research that addresses the mobility management of next-generation networks, as well as LTE networks.
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This research was supported by Research Base Construction Fund Support Program funded by Jeonbuk National University in 2020. This research was also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (2016R1D1A1B01014615), and by the Ministry of Science, ICT and Future Planning (2017R1E1A1A03070134).
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Jang, HS., Baek, J.H. Optimal TAL-based registration with cell-based central policy in mobile cellular networks: a semi-Markov process approach. J Supercomput (2021). https://doi.org/10.1007/s11227-021-03624-8
- 2-D random walk model
- Mobility management
- Location registration
- TAL-based registration
- Central policy
- Semi-Markov process