Efficient Resource Allocation for Multiclass Services in Multiuser OFDM Systems

Jae Soong LEE; Jae Young LEE; Soobin LEE; Hwang Soo LEE

doi:10.1587/transcom.E92.B.533

Efficient Resource Allocation for Multiclass Services in Multiuser OFDM Systems

Jae Soong LEE, Jae Young LEE, Soobin LEE, Hwang Soo LEE

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Although each application has its own quality of service (QoS) requirements, the resource allocation for multiclass services has not been studied adequately in multiuser orthogonal frequency division multiplexing (OFDM) systems. In this paper, a total transmit power minimization problem for downlink transmission is examined while satisfying multiclass services consisting of different data rates and target bit-error rates (BER). Lagrangian relaxation is used to find an optimal subcarrier allocation criterion in the context of subcarrier time-sharing by all users. We suggest an iterative algorithm using this criterion to find the upper and lower bounds of optimal power consumption. We also propose a prioritized subcarrier allocation (PSA) algorithm that provides low computation cost and performance very close to that of the iterative algorithm. The PSA algorithm employs subcarrier selection order (SSO) in order to decide which user takes its best subcarrier first over other users. The SSO is determined by the data rates, channel gain, and target BER of each user. The proposed algorithms are simulated in various QoS parameters and the fading channel model. Furthermore, resource allocation is performed not only subcarrier by subcarrier but also frequency block by frequency block (comprises several subcarriers). These extensive simulation environments provide a more complete assessment of the proposed algorithms. Simulation results show that the proposed algorithms significantly outperform existing algorithms in terms of total transmit power consumption.

Publication: IEICE TRANSACTIONS on Communications Vol.E92-B No.2 pp.533-543

Publication Date: 2009/02/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E92.B.533

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Jae Soong LEE, Jae Young LEE, Soobin LEE, Hwang Soo LEE, "Efficient Resource Allocation for Multiclass Services in Multiuser OFDM Systems" in IEICE TRANSACTIONS on Communications, vol. E92-B, no. 2, pp. 533-543, February 2009, doi: 10.1587/transcom.E92.B.533.
Abstract: Although each application has its own quality of service (QoS) requirements, the resource allocation for multiclass services has not been studied adequately in multiuser orthogonal frequency division multiplexing (OFDM) systems. In this paper, a total transmit power minimization problem for downlink transmission is examined while satisfying multiclass services consisting of different data rates and target bit-error rates (BER). Lagrangian relaxation is used to find an optimal subcarrier allocation criterion in the context of subcarrier time-sharing by all users. We suggest an iterative algorithm using this criterion to find the upper and lower bounds of optimal power consumption. We also propose a prioritized subcarrier allocation (PSA) algorithm that provides low computation cost and performance very close to that of the iterative algorithm. The PSA algorithm employs subcarrier selection order (SSO) in order to decide which user takes its best subcarrier first over other users. The SSO is determined by the data rates, channel gain, and target BER of each user. The proposed algorithms are simulated in various QoS parameters and the fading channel model. Furthermore, resource allocation is performed not only subcarrier by subcarrier but also frequency block by frequency block (comprises several subcarriers). These extensive simulation environments provide a more complete assessment of the proposed algorithms. Simulation results show that the proposed algorithms significantly outperform existing algorithms in terms of total transmit power consumption.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.533/_p

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@ARTICLE{e92-b_2_533,
author={Jae Soong LEE, Jae Young LEE, Soobin LEE, Hwang Soo LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Efficient Resource Allocation for Multiclass Services in Multiuser OFDM Systems},
year={2009},
volume={E92-B},
number={2},
pages={533-543},
abstract={Although each application has its own quality of service (QoS) requirements, the resource allocation for multiclass services has not been studied adequately in multiuser orthogonal frequency division multiplexing (OFDM) systems. In this paper, a total transmit power minimization problem for downlink transmission is examined while satisfying multiclass services consisting of different data rates and target bit-error rates (BER). Lagrangian relaxation is used to find an optimal subcarrier allocation criterion in the context of subcarrier time-sharing by all users. We suggest an iterative algorithm using this criterion to find the upper and lower bounds of optimal power consumption. We also propose a prioritized subcarrier allocation (PSA) algorithm that provides low computation cost and performance very close to that of the iterative algorithm. The PSA algorithm employs subcarrier selection order (SSO) in order to decide which user takes its best subcarrier first over other users. The SSO is determined by the data rates, channel gain, and target BER of each user. The proposed algorithms are simulated in various QoS parameters and the fading channel model. Furthermore, resource allocation is performed not only subcarrier by subcarrier but also frequency block by frequency block (comprises several subcarriers). These extensive simulation environments provide a more complete assessment of the proposed algorithms. Simulation results show that the proposed algorithms significantly outperform existing algorithms in terms of total transmit power consumption.},
keywords={},
doi={10.1587/transcom.E92.B.533},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Efficient Resource Allocation for Multiclass Services in Multiuser OFDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 533
EP - 543
AU - Jae Soong LEE
AU - Jae Young LEE
AU - Soobin LEE
AU - Hwang Soo LEE
PY - 2009
DO - 10.1587/transcom.E92.B.533
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2009
AB - Although each application has its own quality of service (QoS) requirements, the resource allocation for multiclass services has not been studied adequately in multiuser orthogonal frequency division multiplexing (OFDM) systems. In this paper, a total transmit power minimization problem for downlink transmission is examined while satisfying multiclass services consisting of different data rates and target bit-error rates (BER). Lagrangian relaxation is used to find an optimal subcarrier allocation criterion in the context of subcarrier time-sharing by all users. We suggest an iterative algorithm using this criterion to find the upper and lower bounds of optimal power consumption. We also propose a prioritized subcarrier allocation (PSA) algorithm that provides low computation cost and performance very close to that of the iterative algorithm. The PSA algorithm employs subcarrier selection order (SSO) in order to decide which user takes its best subcarrier first over other users. The SSO is determined by the data rates, channel gain, and target BER of each user. The proposed algorithms are simulated in various QoS parameters and the fading channel model. Furthermore, resource allocation is performed not only subcarrier by subcarrier but also frequency block by frequency block (comprises several subcarriers). These extensive simulation environments provide a more complete assessment of the proposed algorithms. Simulation results show that the proposed algorithms significantly outperform existing algorithms in terms of total transmit power consumption.
ER -