Continuous processing and servicing of a new incoming session in LTE systems demands optimal tracking of the mobile user. In this letter, an optimal, information-theoretic framework is developed for tracking area update for next-generation LTE cellular systems. Shannon's entropy is used to characterize the location uncertainty of mobile user. The framework captures users' mobility patterns online and performs profile-based paging for optimizing the tracking area update cost. Simulation results demonstrate reductions in both update and paging costs in comparison to existing LTE systems.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Navrati SAXENA, Abhishek ROY, Jeong-Jae WON, "Optimal Tracking Area Update in LTE Systems" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 8, pp. 2215-2218, August 2010, doi: 10.1587/transcom.E93.B.2215.
Abstract: Continuous processing and servicing of a new incoming session in LTE systems demands optimal tracking of the mobile user. In this letter, an optimal, information-theoretic framework is developed for tracking area update for next-generation LTE cellular systems. Shannon's entropy is used to characterize the location uncertainty of mobile user. The framework captures users' mobility patterns online and performs profile-based paging for optimizing the tracking area update cost. Simulation results demonstrate reductions in both update and paging costs in comparison to existing LTE systems.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.2215/_p
Copy
@ARTICLE{e93-b_8_2215,
author={Navrati SAXENA, Abhishek ROY, Jeong-Jae WON, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimal Tracking Area Update in LTE Systems},
year={2010},
volume={E93-B},
number={8},
pages={2215-2218},
abstract={Continuous processing and servicing of a new incoming session in LTE systems demands optimal tracking of the mobile user. In this letter, an optimal, information-theoretic framework is developed for tracking area update for next-generation LTE cellular systems. Shannon's entropy is used to characterize the location uncertainty of mobile user. The framework captures users' mobility patterns online and performs profile-based paging for optimizing the tracking area update cost. Simulation results demonstrate reductions in both update and paging costs in comparison to existing LTE systems.},
keywords={},
doi={10.1587/transcom.E93.B.2215},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - Optimal Tracking Area Update in LTE Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2215
EP - 2218
AU - Navrati SAXENA
AU - Abhishek ROY
AU - Jeong-Jae WON
PY - 2010
DO - 10.1587/transcom.E93.B.2215
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2010
AB - Continuous processing and servicing of a new incoming session in LTE systems demands optimal tracking of the mobile user. In this letter, an optimal, information-theoretic framework is developed for tracking area update for next-generation LTE cellular systems. Shannon's entropy is used to characterize the location uncertainty of mobile user. The framework captures users' mobility patterns online and performs profile-based paging for optimizing the tracking area update cost. Simulation results demonstrate reductions in both update and paging costs in comparison to existing LTE systems.
ER -