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 strate- gies based on hierarchical partial coordination (HPC) of the macro cell and small cells to reduce channel state information (CSI) exchange and guaran- tee 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.
| Original language | English |
|---|---|
| Pages (from-to) | 1023-1030 |
| Number of pages | 8 |
| Journal | IEICE Transactions on Communications |
| Volume | E100B |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 1 2017 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Energy-efficient interference mitigation with hierarchical partial coordination for MIMO heterogeneous networks. / Vu, Thanh Tung; Kha, Ha Hoang; Muta, Osamu; Rihan, Mohamed.
In: IEICE Transactions on Communications, Vol. E100B, No. 6, 01.06.2017, p. 1023-1030.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Energy-efficient interference mitigation with hierarchical partial coordination for MIMO heterogeneous networks
AU - Vu, Thanh Tung
AU - Kha, Ha Hoang
AU - Muta, Osamu
AU - Rihan, Mohamed
PY - 2017/6/1
Y1 - 2017/6/1
N2 - 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 strate- gies based on hierarchical partial coordination (HPC) of the macro cell and small cells to reduce channel state information (CSI) exchange and guaran- tee 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.
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 strate- gies based on hierarchical partial coordination (HPC) of the macro cell and small cells to reduce channel state information (CSI) exchange and guaran- tee 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.
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U2 - 10.1587/transcom.2016EBP3247
DO - 10.1587/transcom.2016EBP3247
M3 - Article
AN - SCOPUS:85020122853
VL - E100B
SP - 1023
EP - 1030
JO - IEICE Transactions on Communications
JF - IEICE Transactions on Communications
SN - 0916-8516
IS - 6
ER -