Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates

Wireless networks are evolving to provide high data rates, ultra-low latency, reliable communications, and the connectivity of multiple devices in a reduced area. However, massive densification of networks leads to an increase in interfering signals. In this context, interference alignment (IA) algo...

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Main Authors: David Alejandro Urquiza Villalonga, Alejandro Lopez Barrios, Maximo Morales-Cespedes, M. Julia Fernandez-Getino Garcia
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11046342/
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author David Alejandro Urquiza Villalonga
Alejandro Lopez Barrios
Maximo Morales-Cespedes
M. Julia Fernandez-Getino Garcia
author_facet David Alejandro Urquiza Villalonga
Alejandro Lopez Barrios
Maximo Morales-Cespedes
M. Julia Fernandez-Getino Garcia
author_sort David Alejandro Urquiza Villalonga
collection DOAJ
description Wireless networks are evolving to provide high data rates, ultra-low latency, reliable communications, and the connectivity of multiple devices in a reduced area. However, massive densification of networks leads to an increase in interfering signals. In this context, interference alignment (IA) algorithms have been proposed to manage interference while increasing the achievable degrees of freedom. However, the practical implementation of IA algorithms faces several issues such as the lack of perfect channel state information (CSI), network synchronization, or modeling a highly heterogeneous signal-to-interference-plus-noise (SINR) distribution. In this work, we propose an experimental evaluation of IA emulating an interference-limited network but focusing on the user perspective. In contrast to previous works, a hardware testbed with universal software radio peripherals (USRPs) is implemented to model heterogeneous SINR networks. The role of both closed and open loops for providing CSI is evaluated. Then, the impact of CSI updating on the spectral efficiency and also on the bit error rate (BER) is analyzed. Furthermore, precoding techniques such as zero-forcing (ZF) or singular value decomposition (SVD) are also considered for comparison purposes. All the results are based on real measurements providing valuable insights into the performance of IA algorithms in real wireless networks.
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spelling doaj-art-ce01bd98dd474926a07aa37fc8f29b792025-08-20T03:11:58ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302025-01-0161760177310.1109/OJVT.2025.358187811046342Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating RatesDavid Alejandro Urquiza Villalonga0https://orcid.org/0000-0001-9179-7120Alejandro Lopez Barrios1https://orcid.org/0009-0001-8696-1800Maximo Morales-Cespedes2https://orcid.org/0000-0003-0985-1496M. Julia Fernandez-Getino Garcia3https://orcid.org/0000-0001-8346-8140Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, SpainDepartment of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, SpainDepartment of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, SpainDepartment of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, SpainWireless networks are evolving to provide high data rates, ultra-low latency, reliable communications, and the connectivity of multiple devices in a reduced area. However, massive densification of networks leads to an increase in interfering signals. In this context, interference alignment (IA) algorithms have been proposed to manage interference while increasing the achievable degrees of freedom. However, the practical implementation of IA algorithms faces several issues such as the lack of perfect channel state information (CSI), network synchronization, or modeling a highly heterogeneous signal-to-interference-plus-noise (SINR) distribution. In this work, we propose an experimental evaluation of IA emulating an interference-limited network but focusing on the user perspective. In contrast to previous works, a hardware testbed with universal software radio peripherals (USRPs) is implemented to model heterogeneous SINR networks. The role of both closed and open loops for providing CSI is evaluated. Then, the impact of CSI updating on the spectral efficiency and also on the bit error rate (BER) is analyzed. Furthermore, precoding techniques such as zero-forcing (ZF) or singular value decomposition (SVD) are also considered for comparison purposes. All the results are based on real measurements providing valuable insights into the performance of IA algorithms in real wireless networks.https://ieeexplore.ieee.org/document/11046342/Interference alignment (IA)multi-user interference channelsuniversal software radio peripheral (USRP)
spellingShingle David Alejandro Urquiza Villalonga
Alejandro Lopez Barrios
Maximo Morales-Cespedes
M. Julia Fernandez-Getino Garcia
Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates
IEEE Open Journal of Vehicular Technology
Interference alignment (IA)
multi-user interference channels
universal software radio peripheral (USRP)
title Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates
title_full Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates
title_fullStr Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates
title_full_unstemmed Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates
title_short Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates
title_sort hardware evaluation of interference alignment techniques under different channel state information updating rates
topic Interference alignment (IA)
multi-user interference channels
universal software radio peripheral (USRP)
url https://ieeexplore.ieee.org/document/11046342/
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