The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
LTE 시스템에서 새로운 수신 세션을 지속적으로 처리하고 서비스하려면 모바일 사용자에 대한 최적의 추적이 필요합니다. 이 편지에서는 차세대 LTE 셀룰러 시스템의 영역 업데이트 추적을 위한 최적의 정보 이론 프레임워크가 개발되었습니다. Shannon의 엔트로피는 모바일 사용자의 위치 불확실성을 특성화하는 데 사용됩니다. 프레임워크는 온라인에서 사용자의 이동성 패턴을 캡처하고 추적 영역 업데이트 비용을 최적화하기 위해 프로필 기반 페이징을 수행합니다. 시뮬레이션 결과는 기존 LTE 시스템과 비교하여 업데이트 및 페이징 비용이 모두 감소함을 보여줍니다.
LTE, 추적 영역 업데이트, 정보 이론, 페이징
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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
부
@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},}
부
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 -