In heterogenous networks (HetNets), the deployment of small cells with the reuse of limited frequency resources to improve the spectral efficiency results in cross- and co-tier interference. In addition, the excessive power usage in such networks is also a critical problem. In this paper, we propose precoding and postcoding schemes to tackle interference and energy efficiency (EE) challenges in the two-tier downlink multiple-input-multiple-output (MIMO) HetNets. We propose transmission strategies based on hierarchical partial coordination (HPC) of the macro cell and small cells to reduce channel state information (CSI) exchange and guarantee the quality of service (QoS) in the upper tier with any change of network deployment in the lower tier. We employ the interference alignment (IA) scheme to cancel cross- and co-tier interference. Additionally, to maximize the EE, power allocation schemes in each tier are proposed based on a combination of Dinkelbach's method and the bisection searching approach. To investigate insights on the optimization problem, a theoretical analysis on the relationship between the maximum achievable EE and the transmit power is derived. Simulation results prove the superior EE performance of the proposed EE maximization scheme over the sum rate maximization approach and confirm the validity of our theoretical findings.
Thanh Tung VU
Ho Chi Minh City University of Technology
Ha Hoang KHA
Ho Chi Minh City University of Technology
Osamu MUTA
Kyushu University
Mohamed RIHAN
Menoufia University
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Thanh Tung VU, Ha Hoang KHA, Osamu MUTA, Mohamed RIHAN, "Energy-Efficient Interference Mitigation with Hierarchical Partial Coordination for MIMO Heterogeneous Networks" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 6, pp. 1023-1030, June 2017, doi: 10.1587/transcom.2016EBP3247.
Abstract: In heterogenous networks (HetNets), the deployment of small cells with the reuse of limited frequency resources to improve the spectral efficiency results in cross- and co-tier interference. In addition, the excessive power usage in such networks is also a critical problem. In this paper, we propose precoding and postcoding schemes to tackle interference and energy efficiency (EE) challenges in the two-tier downlink multiple-input-multiple-output (MIMO) HetNets. We propose transmission strategies based on hierarchical partial coordination (HPC) of the macro cell and small cells to reduce channel state information (CSI) exchange and guarantee the quality of service (QoS) in the upper tier with any change of network deployment in the lower tier. We employ the interference alignment (IA) scheme to cancel cross- and co-tier interference. Additionally, to maximize the EE, power allocation schemes in each tier are proposed based on a combination of Dinkelbach's method and the bisection searching approach. To investigate insights on the optimization problem, a theoretical analysis on the relationship between the maximum achievable EE and the transmit power is derived. Simulation results prove the superior EE performance of the proposed EE maximization scheme over the sum rate maximization approach and confirm the validity of our theoretical findings.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3247/_p
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@ARTICLE{e100-b_6_1023,
author={Thanh Tung VU, Ha Hoang KHA, Osamu MUTA, Mohamed RIHAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy-Efficient Interference Mitigation with Hierarchical Partial Coordination for MIMO Heterogeneous Networks},
year={2017},
volume={E100-B},
number={6},
pages={1023-1030},
abstract={In heterogenous networks (HetNets), the deployment of small cells with the reuse of limited frequency resources to improve the spectral efficiency results in cross- and co-tier interference. In addition, the excessive power usage in such networks is also a critical problem. In this paper, we propose precoding and postcoding schemes to tackle interference and energy efficiency (EE) challenges in the two-tier downlink multiple-input-multiple-output (MIMO) HetNets. We propose transmission strategies based on hierarchical partial coordination (HPC) of the macro cell and small cells to reduce channel state information (CSI) exchange and guarantee the quality of service (QoS) in the upper tier with any change of network deployment in the lower tier. We employ the interference alignment (IA) scheme to cancel cross- and co-tier interference. Additionally, to maximize the EE, power allocation schemes in each tier are proposed based on a combination of Dinkelbach's method and the bisection searching approach. To investigate insights on the optimization problem, a theoretical analysis on the relationship between the maximum achievable EE and the transmit power is derived. Simulation results prove the superior EE performance of the proposed EE maximization scheme over the sum rate maximization approach and confirm the validity of our theoretical findings.},
keywords={},
doi={10.1587/transcom.2016EBP3247},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Energy-Efficient Interference Mitigation with Hierarchical Partial Coordination for MIMO Heterogeneous Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1023
EP - 1030
AU - Thanh Tung VU
AU - Ha Hoang KHA
AU - Osamu MUTA
AU - Mohamed RIHAN
PY - 2017
DO - 10.1587/transcom.2016EBP3247
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2017
AB - In heterogenous networks (HetNets), the deployment of small cells with the reuse of limited frequency resources to improve the spectral efficiency results in cross- and co-tier interference. In addition, the excessive power usage in such networks is also a critical problem. In this paper, we propose precoding and postcoding schemes to tackle interference and energy efficiency (EE) challenges in the two-tier downlink multiple-input-multiple-output (MIMO) HetNets. We propose transmission strategies based on hierarchical partial coordination (HPC) of the macro cell and small cells to reduce channel state information (CSI) exchange and guarantee the quality of service (QoS) in the upper tier with any change of network deployment in the lower tier. We employ the interference alignment (IA) scheme to cancel cross- and co-tier interference. Additionally, to maximize the EE, power allocation schemes in each tier are proposed based on a combination of Dinkelbach's method and the bisection searching approach. To investigate insights on the optimization problem, a theoretical analysis on the relationship between the maximum achievable EE and the transmit power is derived. Simulation results prove the superior EE performance of the proposed EE maximization scheme over the sum rate maximization approach and confirm the validity of our theoretical findings.
ER -