TY - JOUR
T1 - MALM
T2 - Mobility-Aware Location Management Scheme in Femto/Macrocell Networks
AU - Ko, Haneul
AU - Lee, Jaewook
AU - Pack, Sangheon
N1 - 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.
PY - 2017/11/1
Y1 - 2017/11/1
N2 - 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.
AB - 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.
KW - Location management
KW - Markov decision process (MDP)
KW - data offloading
KW - femto/macrocell networks
UR - http://www.scopus.com/inward/record.url?scp=85032275790&partnerID=8YFLogxK
U2 - 10.1109/TMC.2017.2690287
DO - 10.1109/TMC.2017.2690287
M3 - Article
AN - SCOPUS:85032275790
SN - 1536-1233
VL - 16
SP - 3115
EP - 3125
JO - IEEE Transactions on Mobile Computing
JF - IEEE Transactions on Mobile Computing
IS - 11
M1 - 7891040
ER -