In this paper, we propose a new measurement-based fair call admission control policy for heterogeneous packet radio networks. The objectives of the new admission policy are to 1) reduce computation overhead and rapidly re-allocate resources to keep desired Quality of Service (QoS) demands, 2) relieve hot-spot cell by reducing the number of handoff calls from neighboring cells, 3) fairly admit voice and data traffic to prevent declined service degradation. With numerical analysis, we evaluate QoS constraints and inter-cell as well as inter-service fairness by using queuing model, which is described by a two-dimensional continuous-time Markov chain. Finally, we validate our model's accuracy by comparing results of analytical model with ones of event-driven simulation.
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Ki-Il KIM, Sang-Ha KIM, "A Light Call Admission Control with Inter-Cell and Inter-Service Fairness in Heterogeneous Packet Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 10, pp. 4064-4073, October 2005, doi: 10.1093/ietcom/e88-b.10.4064.
Abstract: In this paper, we propose a new measurement-based fair call admission control policy for heterogeneous packet radio networks. The objectives of the new admission policy are to 1) reduce computation overhead and rapidly re-allocate resources to keep desired Quality of Service (QoS) demands, 2) relieve hot-spot cell by reducing the number of handoff calls from neighboring cells, 3) fairly admit voice and data traffic to prevent declined service degradation. With numerical analysis, we evaluate QoS constraints and inter-cell as well as inter-service fairness by using queuing model, which is described by a two-dimensional continuous-time Markov chain. Finally, we validate our model's accuracy by comparing results of analytical model with ones of event-driven simulation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.10.4064/_p
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@ARTICLE{e88-b_10_4064,
author={Ki-Il KIM, Sang-Ha KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={A Light Call Admission Control with Inter-Cell and Inter-Service Fairness in Heterogeneous Packet Radio Networks},
year={2005},
volume={E88-B},
number={10},
pages={4064-4073},
abstract={In this paper, we propose a new measurement-based fair call admission control policy for heterogeneous packet radio networks. The objectives of the new admission policy are to 1) reduce computation overhead and rapidly re-allocate resources to keep desired Quality of Service (QoS) demands, 2) relieve hot-spot cell by reducing the number of handoff calls from neighboring cells, 3) fairly admit voice and data traffic to prevent declined service degradation. With numerical analysis, we evaluate QoS constraints and inter-cell as well as inter-service fairness by using queuing model, which is described by a two-dimensional continuous-time Markov chain. Finally, we validate our model's accuracy by comparing results of analytical model with ones of event-driven simulation.},
keywords={},
doi={10.1093/ietcom/e88-b.10.4064},
ISSN={},
month={October},}
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TY - JOUR
TI - A Light Call Admission Control with Inter-Cell and Inter-Service Fairness in Heterogeneous Packet Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 4064
EP - 4073
AU - Ki-Il KIM
AU - Sang-Ha KIM
PY - 2005
DO - 10.1093/ietcom/e88-b.10.4064
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2005
AB - In this paper, we propose a new measurement-based fair call admission control policy for heterogeneous packet radio networks. The objectives of the new admission policy are to 1) reduce computation overhead and rapidly re-allocate resources to keep desired Quality of Service (QoS) demands, 2) relieve hot-spot cell by reducing the number of handoff calls from neighboring cells, 3) fairly admit voice and data traffic to prevent declined service degradation. With numerical analysis, we evaluate QoS constraints and inter-cell as well as inter-service fairness by using queuing model, which is described by a two-dimensional continuous-time Markov chain. Finally, we validate our model's accuracy by comparing results of analytical model with ones of event-driven simulation.
ER -