Resource Allocation in Cooperative OFDMA Systems Supporting Heterogeneous Services
Summary :
Most existing works on resource allocation in cooperative OFDMA systems have focused on homogeneous users with same service and demand. In this paper, we focus on resource allocation in a service differentiated cooperative OFDMA system where each user has a different QoS requirement. We investigate joint power allocation, relay selection and subcarrier assignment to maximize overall system rates with consideration of QoS guarantees and service support. By introducing QoS price, this combinatorial problem with exponential complexity is converted into a convex one, and a two-level dual-primal decomposition based QoS-aware resource allocation (QARA) algorithm is proposed to tackle the problem. Simulation results reveal that our proposed algorithm significantly outperforms previous works in terms of both services support and QoS satisfaction.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.7 pp.2043-2050
- Publication Date
- 2011/07/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.2043
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
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Danhua ZHANG, Xiaoming TAO, Jianhua LU, "Resource Allocation in Cooperative OFDMA Systems Supporting Heterogeneous Services" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 7, pp. 2043-2050, July 2011, doi: 10.1587/transcom.E94.B.2043.
Abstract: Most existing works on resource allocation in cooperative OFDMA systems have focused on homogeneous users with same service and demand. In this paper, we focus on resource allocation in a service differentiated cooperative OFDMA system where each user has a different QoS requirement. We investigate joint power allocation, relay selection and subcarrier assignment to maximize overall system rates with consideration of QoS guarantees and service support. By introducing QoS price, this combinatorial problem with exponential complexity is converted into a convex one, and a two-level dual-primal decomposition based QoS-aware resource allocation (QARA) algorithm is proposed to tackle the problem. Simulation results reveal that our proposed algorithm significantly outperforms previous works in terms of both services support and QoS satisfaction.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2043/_p
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@ARTICLE{e94-b_7_2043,
author={Danhua ZHANG, Xiaoming TAO, Jianhua LU, },
journal={IEICE TRANSACTIONS on Communications},
title={Resource Allocation in Cooperative OFDMA Systems Supporting Heterogeneous Services},
year={2011},
volume={E94-B},
number={7},
pages={2043-2050},
abstract={Most existing works on resource allocation in cooperative OFDMA systems have focused on homogeneous users with same service and demand. In this paper, we focus on resource allocation in a service differentiated cooperative OFDMA system where each user has a different QoS requirement. We investigate joint power allocation, relay selection and subcarrier assignment to maximize overall system rates with consideration of QoS guarantees and service support. By introducing QoS price, this combinatorial problem with exponential complexity is converted into a convex one, and a two-level dual-primal decomposition based QoS-aware resource allocation (QARA) algorithm is proposed to tackle the problem. Simulation results reveal that our proposed algorithm significantly outperforms previous works in terms of both services support and QoS satisfaction.},
keywords={},
doi={10.1587/transcom.E94.B.2043},
ISSN={1745-1345},
month={July},}
Copy
TY - JOUR
TI - Resource Allocation in Cooperative OFDMA Systems Supporting Heterogeneous Services
T2 - IEICE TRANSACTIONS on Communications
SP - 2043
EP - 2050
AU - Danhua ZHANG
AU - Xiaoming TAO
AU - Jianhua LU
PY - 2011
DO - 10.1587/transcom.E94.B.2043
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2011
AB - Most existing works on resource allocation in cooperative OFDMA systems have focused on homogeneous users with same service and demand. In this paper, we focus on resource allocation in a service differentiated cooperative OFDMA system where each user has a different QoS requirement. We investigate joint power allocation, relay selection and subcarrier assignment to maximize overall system rates with consideration of QoS guarantees and service support. By introducing QoS price, this combinatorial problem with exponential complexity is converted into a convex one, and a two-level dual-primal decomposition based QoS-aware resource allocation (QARA) algorithm is proposed to tackle the problem. Simulation results reveal that our proposed algorithm significantly outperforms previous works in terms of both services support and QoS satisfaction.
ER -
English
