This paper addresses the system throughput maximization problem for HAPS third generation cellular systems. We assume that the Stratospheric Platform is able to perform a perfect link gain estimation for all mobile terminals, such that a centralized resource allocation strategy is made possible. A classical 3G wireless scenario is considered, where traffics characterized by different bit rates coexist with Best Effort Traffic services without stringent bit rate constraints. In this scenario, we firstly envisage three Rate Assignment schemes for best effort terminals which aim at achieving the maximum system throughput subject to different bit rate constraints. For the second envisaged rate assignment scheme, which represents the best compromise between service fairness and throughput, we then propose a simplified approach that allows to noticeably decrease the implementation complexity with a slight performance degradation.
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Andrea ABRARDO, David SENNATI, "Centralized Radio Resource Management Strategies with Heterogeneous Traffics in HAPS WCDMA Cellular Systems" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 3, pp. 1040-1049, March 2003, doi: .
Abstract: This paper addresses the system throughput maximization problem for HAPS third generation cellular systems. We assume that the Stratospheric Platform is able to perform a perfect link gain estimation for all mobile terminals, such that a centralized resource allocation strategy is made possible. A classical 3G wireless scenario is considered, where traffics characterized by different bit rates coexist with Best Effort Traffic services without stringent bit rate constraints. In this scenario, we firstly envisage three Rate Assignment schemes for best effort terminals which aim at achieving the maximum system throughput subject to different bit rate constraints. For the second envisaged rate assignment scheme, which represents the best compromise between service fairness and throughput, we then propose a simplified approach that allows to noticeably decrease the implementation complexity with a slight performance degradation.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_3_1040/_p
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@ARTICLE{e86-b_3_1040,
author={Andrea ABRARDO, David SENNATI, },
journal={IEICE TRANSACTIONS on Communications},
title={Centralized Radio Resource Management Strategies with Heterogeneous Traffics in HAPS WCDMA Cellular Systems},
year={2003},
volume={E86-B},
number={3},
pages={1040-1049},
abstract={This paper addresses the system throughput maximization problem for HAPS third generation cellular systems. We assume that the Stratospheric Platform is able to perform a perfect link gain estimation for all mobile terminals, such that a centralized resource allocation strategy is made possible. A classical 3G wireless scenario is considered, where traffics characterized by different bit rates coexist with Best Effort Traffic services without stringent bit rate constraints. In this scenario, we firstly envisage three Rate Assignment schemes for best effort terminals which aim at achieving the maximum system throughput subject to different bit rate constraints. For the second envisaged rate assignment scheme, which represents the best compromise between service fairness and throughput, we then propose a simplified approach that allows to noticeably decrease the implementation complexity with a slight performance degradation.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Centralized Radio Resource Management Strategies with Heterogeneous Traffics in HAPS WCDMA Cellular Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1040
EP - 1049
AU - Andrea ABRARDO
AU - David SENNATI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2003
AB - This paper addresses the system throughput maximization problem for HAPS third generation cellular systems. We assume that the Stratospheric Platform is able to perform a perfect link gain estimation for all mobile terminals, such that a centralized resource allocation strategy is made possible. A classical 3G wireless scenario is considered, where traffics characterized by different bit rates coexist with Best Effort Traffic services without stringent bit rate constraints. In this scenario, we firstly envisage three Rate Assignment schemes for best effort terminals which aim at achieving the maximum system throughput subject to different bit rate constraints. For the second envisaged rate assignment scheme, which represents the best compromise between service fairness and throughput, we then propose a simplified approach that allows to noticeably decrease the implementation complexity with a slight performance degradation.
ER -