Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks

A. M. Benaya; Maha Elsabrouty

doi:10.1109/WD.2017.7918120

Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks

A. M. Benaya
, Maha Elsabrouty

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, interference alignment (IA) in 3-tier heterogeneous networks (HetNets) is addressed. The rank constrained rank minimization (RCRM) approach is modified to deal with the nature of tiers with different quality-of-service (QoS) requirements. In the proposed approach, which we name weighted RCRM (WRCRM), different tiers are treated with different weighting factors to reflect their tolerance to interference. We first study the achievable degrees of freedom (DoFs) for the 3-user mutually interfering broadcast channels (MIBCs) and derive an inner and a loose outer bound on the achievable DoFs. Then, using the derived expressions and the condition of IA feasibility, we show that, by choosing the appropriate weighting factors, the proposed WRCRM-IA solution can outperform the RCRM-IA approach in terms of the average sum rate and the average number of DoFs. Moreover, the WRCRM-IA solution comes closer to the perfect IA DoFs outer bound.

Original language	English
Title of host publication	2017 Wireless Days, WD 2017
Editors	Henrique Salgado, Jose Ruela, Luis Pessoa, Filipe Teixeira, Manuel Ricardo, Rui Campos, Ricardo Morla
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	83-88
Number of pages	6
ISBN (Electronic)	9781509058563
DOIs	https://doi.org/10.1109/WD.2017.7918120
State	Published - 2 May 2017
Externally published	Yes
Event	2017 Wireless Days, WD 2017 - Porto, Portugal Duration: 29 Mar 2017 → 31 Mar 2017

Publication series

Name	2017 Wireless Days, WD 2017

Conference

Conference	2017 Wireless Days, WD 2017
Country/Territory	Portugal
City	Porto
Period	29/03/17 → 31/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

degrees of freedom
heterogeneous networks
interference alignment
rank constrained rank minimization

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/WD.2017.7918120

Cite this

Benaya, A. M., & Elsabrouty, M. (2017). Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks. In H. Salgado, J. Ruela, L. Pessoa, F. Teixeira, M. Ricardo, R. Campos, & R. Morla (Eds.), 2017 Wireless Days, WD 2017 (pp. 83-88). Article 7918120 (2017 Wireless Days, WD 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WD.2017.7918120

Benaya, A. M. ; Elsabrouty, Maha. / Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks. 2017 Wireless Days, WD 2017. editor / Henrique Salgado ; Jose Ruela ; Luis Pessoa ; Filipe Teixeira ; Manuel Ricardo ; Rui Campos ; Ricardo Morla. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 83-88 (2017 Wireless Days, WD 2017).

@inproceedings{2b93be87deb34196aa010ef4d66661ba,

title = "Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks",

abstract = "In this paper, interference alignment (IA) in 3-tier heterogeneous networks (HetNets) is addressed. The rank constrained rank minimization (RCRM) approach is modified to deal with the nature of tiers with different quality-of-service (QoS) requirements. In the proposed approach, which we name weighted RCRM (WRCRM), different tiers are treated with different weighting factors to reflect their tolerance to interference. We first study the achievable degrees of freedom (DoFs) for the 3-user mutually interfering broadcast channels (MIBCs) and derive an inner and a loose outer bound on the achievable DoFs. Then, using the derived expressions and the condition of IA feasibility, we show that, by choosing the appropriate weighting factors, the proposed WRCRM-IA solution can outperform the RCRM-IA approach in terms of the average sum rate and the average number of DoFs. Moreover, the WRCRM-IA solution comes closer to the perfect IA DoFs outer bound.",

keywords = "degrees of freedom, heterogeneous networks, interference alignment, rank constrained rank minimization",

author = "Benaya, \{A. M.\} and Maha Elsabrouty",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Wireless Days, WD 2017 ; Conference date: 29-03-2017 Through 31-03-2017",

year = "2017",

month = may,

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doi = "10.1109/WD.2017.7918120",

language = "English",

series = "2017 Wireless Days, WD 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Benaya, AM & Elsabrouty, M 2017, Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks. in H Salgado, J Ruela, L Pessoa, F Teixeira, M Ricardo, R Campos & R Morla (eds), 2017 Wireless Days, WD 2017., 7918120, 2017 Wireless Days, WD 2017, Institute of Electrical and Electronics Engineers Inc., pp. 83-88, 2017 Wireless Days, WD 2017, Porto, Portugal, 29/03/17. https://doi.org/10.1109/WD.2017.7918120

Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks. / Benaya, A. M.; Elsabrouty, Maha.
2017 Wireless Days, WD 2017. ed. / Henrique Salgado; Jose Ruela; Luis Pessoa; Filipe Teixeira; Manuel Ricardo; Rui Campos; Ricardo Morla. Institute of Electrical and Electronics Engineers Inc., 2017. p. 83-88 7918120 (2017 Wireless Days, WD 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Benaya, A. M.

AU - Elsabrouty, Maha

PY - 2017/5/2

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N2 - In this paper, interference alignment (IA) in 3-tier heterogeneous networks (HetNets) is addressed. The rank constrained rank minimization (RCRM) approach is modified to deal with the nature of tiers with different quality-of-service (QoS) requirements. In the proposed approach, which we name weighted RCRM (WRCRM), different tiers are treated with different weighting factors to reflect their tolerance to interference. We first study the achievable degrees of freedom (DoFs) for the 3-user mutually interfering broadcast channels (MIBCs) and derive an inner and a loose outer bound on the achievable DoFs. Then, using the derived expressions and the condition of IA feasibility, we show that, by choosing the appropriate weighting factors, the proposed WRCRM-IA solution can outperform the RCRM-IA approach in terms of the average sum rate and the average number of DoFs. Moreover, the WRCRM-IA solution comes closer to the perfect IA DoFs outer bound.

AB - In this paper, interference alignment (IA) in 3-tier heterogeneous networks (HetNets) is addressed. The rank constrained rank minimization (RCRM) approach is modified to deal with the nature of tiers with different quality-of-service (QoS) requirements. In the proposed approach, which we name weighted RCRM (WRCRM), different tiers are treated with different weighting factors to reflect their tolerance to interference. We first study the achievable degrees of freedom (DoFs) for the 3-user mutually interfering broadcast channels (MIBCs) and derive an inner and a loose outer bound on the achievable DoFs. Then, using the derived expressions and the condition of IA feasibility, we show that, by choosing the appropriate weighting factors, the proposed WRCRM-IA solution can outperform the RCRM-IA approach in terms of the average sum rate and the average number of DoFs. Moreover, the WRCRM-IA solution comes closer to the perfect IA DoFs outer bound.

KW - degrees of freedom

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KW - interference alignment

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AN - SCOPUS:85020205022

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SP - 83

EP - 88

BT - 2017 Wireless Days, WD 2017

A2 - Salgado, Henrique

A2 - Ruela, Jose

A2 - Pessoa, Luis

A2 - Teixeira, Filipe

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A2 - Campos, Rui

A2 - Morla, Ricardo

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 Wireless Days, WD 2017

Y2 - 29 March 2017 through 31 March 2017

ER -

Benaya AM, Elsabrouty M. Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks. In Salgado H, Ruela J, Pessoa L, Teixeira F, Ricardo M, Campos R, Morla R, editors, 2017 Wireless Days, WD 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 83-88. 7918120. (2017 Wireless Days, WD 2017). doi: 10.1109/WD.2017.7918120

Weighted rank constrained rank minimization interference alignment for 3-tier downlink heterogeneous networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this