TY - GEN
T1 - Mobility-aware location management scheme in femto/macrocell networks
AU - Ko, Haneul
AU - Lee, Jaewook
AU - Pack, Sangheon
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/7
Y1 - 2015/8/7
N2 - Recently, the femtocell has been proposed to offload the traffic from the macrocell. In femto/macrocell networks, a location management should be supported to keep track of the current location of a mobile node (MN). Since the conventional mobility management scheme of femto/macrocell networks does not consider mobility pattern of the MN, unnecessary location updates occur. Specifically, when the MN moves along the contour of the femtocell coverage, the MN frequently executes location update which causes high location update cost. To address this problem, we propose a mobility-aware location management (MALM) scheme that the MN does not execute location update in femtocells where the MN stops by while conducting location update at the specific locations expected that the MN stays for a long time. Then, 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 and provide sufficient offloading effect.
AB - Recently, the femtocell has been proposed to offload the traffic from the macrocell. In femto/macrocell networks, a location management should be supported to keep track of the current location of a mobile node (MN). Since the conventional mobility management scheme of femto/macrocell networks does not consider mobility pattern of the MN, unnecessary location updates occur. Specifically, when the MN moves along the contour of the femtocell coverage, the MN frequently executes location update which causes high location update cost. To address this problem, we propose a mobility-aware location management (MALM) scheme that the MN does not execute location update in femtocells where the MN stops by while conducting location update at the specific locations expected that the MN stays for a long time. Then, 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 and provide sufficient offloading effect.
KW - Location management
KW - Markov decision process (MDP)
KW - femtocell
KW - mobility management
KW - offloading
UR - http://www.scopus.com/inward/record.url?scp=84944672502&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2015.7182532
DO - 10.1109/ICUFN.2015.7182532
M3 - Conference contribution
AN - SCOPUS:84944672502
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 191
EP - 195
BT - ICUFN 2015 - 7th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015
Y2 - 7 July 2015 through 10 July 2015
ER -