Online Downlink MIMO Wireless Network Virtualization in Fading Environments

Juncheng Wang; Min Dong; Ben Liang; Gary Boudreau

doi:10.1109/GLOBECOM38437.2019.9013124

Online Downlink MIMO Wireless Network Virtualization in Fading Environments

Juncheng Wang, Min Dong, Ben Liang, Gary Boudreau

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

We consider downlink multiple-input multiple-output (MIMO) wireless network virtualization (WNV) in a fading environment, via a base station (BS) precoding design. The BS is owned by an infrastructure provider (InP) and is shared by several service providers (SPs) who are oblivious to each other. The SPs realize their virtual-cell transmissions via MIMO precoding provided by the InP. We aim to minimize the time-averaged expected deviation of the precoding provided by the InP from the SPs' virtualization demands, considering both long-term and short-term transmit power limits at the BS. We propose an online MIMO WNV algorithm to provide a precoding solution through Lyapunov optimization. Our online precoding solution only requires the current channel state information, and it has a semi-closed form with low computational complexity. We provide an upper bound on the performance of the proposed algorithm, showing that it can be arbitrarily close to the optimum over any given time horizon. Simulation results validate the performance of our proposed algorithm under typical urban micro-cell settings.

Original language	English
Title of host publication	Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM)
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781728109626
ISBN (Print)	9781728109633
DOIs	https://doi.org/10.1109/GLOBECOM38437.2019.9013124
Publication status	Published - Dec 2019
Event	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States Duration: 9 Dec 2019 → 13 Dec 2019 https://globecom2019.ieee-globecom.org/index.html https://ieeexplore.ieee.org/xpl/conhome/8968653/proceeding

Publication series

Name	Proceedings of IEEE Global Communications Conference (GLOBECOM)
Publisher	IEEE
Volume	2019-December
ISSN (Print)	1930-529X
ISSN (Electronic)	2576-6813

Conference

Conference	2019 IEEE Global Communications Conference, GLOBECOM 2019
Country/Territory	United States
City	Waikoloa
Period	9/12/19 → 13/12/19
Internet address	https://globecom2019.ieee-globecom.org/index.html https://ieeexplore.ieee.org/xpl/conhome/8968653/proceeding

User-Defined Keywords

MIMO
Wireless network virtualization
Precoding design
Lyapunov optimization
Long-term constraints

Access to Document

10.1109/GLOBECOM38437.2019.9013124

Cite this

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title = "Online Downlink MIMO Wireless Network Virtualization in Fading Environments",

abstract = "We consider downlink multiple-input multiple-output (MIMO) wireless network virtualization (WNV) in a fading environment, via a base station (BS) precoding design. The BS is owned by an infrastructure provider (InP) and is shared by several service providers (SPs) who are oblivious to each other. The SPs realize their virtual-cell transmissions via MIMO precoding provided by the InP. We aim to minimize the time-averaged expected deviation of the precoding provided by the InP from the SPs' virtualization demands, considering both long-term and short-term transmit power limits at the BS. We propose an online MIMO WNV algorithm to provide a precoding solution through Lyapunov optimization. Our online precoding solution only requires the current channel state information, and it has a semi-closed form with low computational complexity. We provide an upper bound on the performance of the proposed algorithm, showing that it can be arbitrarily close to the optimum over any given time horizon. Simulation results validate the performance of our proposed algorithm under typical urban micro-cell settings.",

keywords = "MIMO, Wireless network virtualization, Precoding design, Lyapunov optimization, Long-term constraints",

author = "Juncheng Wang and Min Dong and Ben Liang and Gary Boudreau",

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Wang, J, Dong, M, Liang, B & Boudreau, G 2019, Online Downlink MIMO Wireless Network Virtualization in Fading Environments. in Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM). Proceedings of IEEE Global Communications Conference (GLOBECOM), vol. 2019-December, IEEE, 2019 IEEE Global Communications Conference, GLOBECOM 2019, Waikoloa, Hawaii, United States, 9/12/19. https://doi.org/10.1109/GLOBECOM38437.2019.9013124

Online Downlink MIMO Wireless Network Virtualization in Fading Environments. / Wang, Juncheng; Dong, Min; Liang, Ben et al.
Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM). IEEE, 2019. (Proceedings of IEEE Global Communications Conference (GLOBECOM); Vol. 2019-December).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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N2 - We consider downlink multiple-input multiple-output (MIMO) wireless network virtualization (WNV) in a fading environment, via a base station (BS) precoding design. The BS is owned by an infrastructure provider (InP) and is shared by several service providers (SPs) who are oblivious to each other. The SPs realize their virtual-cell transmissions via MIMO precoding provided by the InP. We aim to minimize the time-averaged expected deviation of the precoding provided by the InP from the SPs' virtualization demands, considering both long-term and short-term transmit power limits at the BS. We propose an online MIMO WNV algorithm to provide a precoding solution through Lyapunov optimization. Our online precoding solution only requires the current channel state information, and it has a semi-closed form with low computational complexity. We provide an upper bound on the performance of the proposed algorithm, showing that it can be arbitrarily close to the optimum over any given time horizon. Simulation results validate the performance of our proposed algorithm under typical urban micro-cell settings.

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Online Downlink MIMO Wireless Network Virtualization in Fading Environments

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