MALM: Mobility-Aware Location Management Scheme in Femto/Macrocell Networks

Haneul Ko, Jaewook Lee, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


Recently, femtocells are widely deployed to offload the traffic from the macrocell. Since conventional location management schemes of femto/macrocell networks do not consider mobility pattern of the mobile node (MN), unnecessary location updates can occur. Specifically, when an MN moves along the contour of the femtocell coverage, the MN frequently executes location update procedures, which causes significant location update cost. To address this problem, we propose a mobility-aware location management (MALM) scheme, where the MN conducts location update only at specific femtocells in which it is expected that the MN stays for a long time. To optimize MALM, a Markov decision process (MDP) problem is formulated and the optimal policy is determined. Evaluation results demonstrate that MALM with the optimal policy can reduce the number of location updates while providing sufficient offloading gain.

Original languageEnglish
Article number7891040
Pages (from-to)3115-3125
Number of pages11
JournalIEEE Transactions on Mobile Computing
Issue number11
Publication statusPublished - 2017 Nov 1

Bibliographical note

Funding Information:
This work was supported by a National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. NRF-2014R1A2A1A12066986) and the ICT R&D program of MSIP/IITP (2014-044-006-004, Next Generation WLAN System with High Efficient Performance). A preliminary version of this paper was presented at the International Workshop on Mobility Modeling and Performance Evaluation (MoMoPE) 2015 (Conjunction with ICUFN 2015), Sapporo, Japan, July 2015 [1].

Publisher Copyright:
© 2017 IEEE.


  • Location management
  • Markov decision process (MDP)
  • data offloading
  • femto/macrocell networks

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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