Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

Vaia Kalokidou; Angela Doufexi; Mark Beach

doi:10.1109/VTCFall.2018.8690930

Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

Vaia Kalokidou
, Angela Doufexi
, Mark Beach

Communication Systems and Networks

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

371 Downloads (Pure)

Abstract

Enhanced network capacity and reduced overhead will be some of the future communication networks requirements. In the absence of Channel State Information (CSI) at the transmitter, Blind Interference Alignment (Blind IA) has shown that optimal Degrees of Freedom (DoF) can be achieved, minimizing network's overhead. Limited spectrum is a basic issue that millimeter-Wave (mmWave) frequencies can resolve in 5G systems. Our contribution is an interference management scheme, based on Blind IA that can be employed in multi-cell, slow-fading, mmWave networks. Blind IA manages inter- and intra-cell interference by antenna selection and appropriate message scheduling. We show that our proposed scheme achieves considerably higher sum rate than TDMA, and overall outperforms TDMA in terms of Degrees of Freedom (DoF) in most cases. Also, Blind IA provides better Bit Error Rate (BER) performance and fairness, in terms of scheduling, to the network users.

Original language	English
Title of host publication	2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Volume	2018-August
ISBN (Electronic)	9781538663585
DOIs	https://doi.org/10.1109/VTCFall.2018.8690930
Publication status	Published - 12 Apr 2019
Event	2018 IEEE 88th Vehicular Technology Conference - Chicago, United States Duration: 27 Aug 2018 → 30 Aug 2018

Conference

Conference	2018 IEEE 88th Vehicular Technology Conference
Abbreviated title	VTC2018-Fall
Country/Territory	United States
City	Chicago
Period	27/08/18 → 30/08/18

Keywords

beamforming
blind interference alignment
interference management
mmWave

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10.1109/VTCFall.2018.8690930

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@inproceedings{678f2ca681f44c8885b2c3db609c613d,

title = "Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul",

abstract = "Enhanced network capacity and reduced overhead will be some of the future communication networks requirements. In the absence of Channel State Information (CSI) at the transmitter, Blind Interference Alignment (Blind IA) has shown that optimal Degrees of Freedom (DoF) can be achieved, minimizing network's overhead. Limited spectrum is a basic issue that millimeter-Wave (mmWave) frequencies can resolve in 5G systems. Our contribution is an interference management scheme, based on Blind IA that can be employed in multi-cell, slow-fading, mmWave networks. Blind IA manages inter- and intra-cell interference by antenna selection and appropriate message scheduling. We show that our proposed scheme achieves considerably higher sum rate than TDMA, and overall outperforms TDMA in terms of Degrees of Freedom (DoF) in most cases. Also, Blind IA provides better Bit Error Rate (BER) performance and fairness, in terms of scheduling, to the network users.",

keywords = "beamforming, blind interference alignment, interference management, mmWave",

author = "Vaia Kalokidou and Angela Doufexi and Mark Beach",

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doi = "10.1109/VTCFall.2018.8690930",

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booktitle = "2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "2018 IEEE 88th Vehicular Technology Conference, VTC2018-Fall ; Conference date: 27-08-2018 Through 30-08-2018",

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Kalokidou, V, Doufexi, A & Beach, M 2019, Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul. in 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. vol. 2018-August, 8690930, Institute of Electrical and Electronics Engineers (IEEE), 2018 IEEE 88th Vehicular Technology Conference, Chicago, United States, 27/08/18. https://doi.org/10.1109/VTCFall.2018.8690930

Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul. / Kalokidou, Vaia; Doufexi, Angela ; Beach, Mark.
2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Vol. 2018-August Institute of Electrical and Electronics Engineers (IEEE), 2019. 8690930.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

AU - Kalokidou, Vaia

AU - Doufexi, Angela

AU - Beach, Mark

PY - 2019/4/12

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N2 - Enhanced network capacity and reduced overhead will be some of the future communication networks requirements. In the absence of Channel State Information (CSI) at the transmitter, Blind Interference Alignment (Blind IA) has shown that optimal Degrees of Freedom (DoF) can be achieved, minimizing network's overhead. Limited spectrum is a basic issue that millimeter-Wave (mmWave) frequencies can resolve in 5G systems. Our contribution is an interference management scheme, based on Blind IA that can be employed in multi-cell, slow-fading, mmWave networks. Blind IA manages inter- and intra-cell interference by antenna selection and appropriate message scheduling. We show that our proposed scheme achieves considerably higher sum rate than TDMA, and overall outperforms TDMA in terms of Degrees of Freedom (DoF) in most cases. Also, Blind IA provides better Bit Error Rate (BER) performance and fairness, in terms of scheduling, to the network users.

AB - Enhanced network capacity and reduced overhead will be some of the future communication networks requirements. In the absence of Channel State Information (CSI) at the transmitter, Blind Interference Alignment (Blind IA) has shown that optimal Degrees of Freedom (DoF) can be achieved, minimizing network's overhead. Limited spectrum is a basic issue that millimeter-Wave (mmWave) frequencies can resolve in 5G systems. Our contribution is an interference management scheme, based on Blind IA that can be employed in multi-cell, slow-fading, mmWave networks. Blind IA manages inter- and intra-cell interference by antenna selection and appropriate message scheduling. We show that our proposed scheme achieves considerably higher sum rate than TDMA, and overall outperforms TDMA in terms of Degrees of Freedom (DoF) in most cases. Also, Blind IA provides better Bit Error Rate (BER) performance and fairness, in terms of scheduling, to the network users.

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KW - interference management

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BT - 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings

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T2 - 2018 IEEE 88th Vehicular Technology Conference

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ER -

Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

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Keywords

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