Hybrid Location Update Scheme for Future PCS Networks
Summary :
Future personal communication service (PCS) networks consider smaller cells to accommodate continuously growing population of subscribers. That results in frequent location update and consequently higher signaling cost. Among various schemes proposed for improving the efficiency of location management, the distance-based and the direction-based location update methods work well for just certain mobility patterns. In this paper, we propose a hybrid location update (HLU) scheme, which takes into account both the moving distance and the moving direction when deciding on updating the location. We analyze the performance of the HLU under different mobility patterns and call-to-mobility ratios based on a 2D Markov walk model. The numerical results demonstrate that the HLU scheme can achieve better performance than the distance-based or the direction-based methods applied individually.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.1 pp.388-391
- Publication Date
- 2005/01/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.1.388
- Type of Manuscript
- LETTER
- Category
- Switching for Mobile Communications
Authors
Keyword
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Jun ZHENG, Emma REGENTOVA, "Hybrid Location Update Scheme for Future PCS Networks" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 1, pp. 388-391, January 2005, doi: 10.1093/ietcom/e88-b.1.388.
Abstract: Future personal communication service (PCS) networks consider smaller cells to accommodate continuously growing population of subscribers. That results in frequent location update and consequently higher signaling cost. Among various schemes proposed for improving the efficiency of location management, the distance-based and the direction-based location update methods work well for just certain mobility patterns. In this paper, we propose a hybrid location update (HLU) scheme, which takes into account both the moving distance and the moving direction when deciding on updating the location. We analyze the performance of the HLU under different mobility patterns and call-to-mobility ratios based on a 2D Markov walk model. The numerical results demonstrate that the HLU scheme can achieve better performance than the distance-based or the direction-based methods applied individually.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.1.388/_p
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@ARTICLE{e88-b_1_388,
author={Jun ZHENG, Emma REGENTOVA, },
journal={IEICE TRANSACTIONS on Communications},
title={Hybrid Location Update Scheme for Future PCS Networks},
year={2005},
volume={E88-B},
number={1},
pages={388-391},
abstract={Future personal communication service (PCS) networks consider smaller cells to accommodate continuously growing population of subscribers. That results in frequent location update and consequently higher signaling cost. Among various schemes proposed for improving the efficiency of location management, the distance-based and the direction-based location update methods work well for just certain mobility patterns. In this paper, we propose a hybrid location update (HLU) scheme, which takes into account both the moving distance and the moving direction when deciding on updating the location. We analyze the performance of the HLU under different mobility patterns and call-to-mobility ratios based on a 2D Markov walk model. The numerical results demonstrate that the HLU scheme can achieve better performance than the distance-based or the direction-based methods applied individually.},
keywords={},
doi={10.1093/ietcom/e88-b.1.388},
ISSN={},
month={January},}
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TY - JOUR
TI - Hybrid Location Update Scheme for Future PCS Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 388
EP - 391
AU - Jun ZHENG
AU - Emma REGENTOVA
PY - 2005
DO - 10.1093/ietcom/e88-b.1.388
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2005
AB - Future personal communication service (PCS) networks consider smaller cells to accommodate continuously growing population of subscribers. That results in frequent location update and consequently higher signaling cost. Among various schemes proposed for improving the efficiency of location management, the distance-based and the direction-based location update methods work well for just certain mobility patterns. In this paper, we propose a hybrid location update (HLU) scheme, which takes into account both the moving distance and the moving direction when deciding on updating the location. We analyze the performance of the HLU under different mobility patterns and call-to-mobility ratios based on a 2D Markov walk model. The numerical results demonstrate that the HLU scheme can achieve better performance than the distance-based or the direction-based methods applied individually.
ER -
English
