Exploring Uplink Achievable Rate for HPO MIMO through Quasi-Monte Carlo and Variance Reduction Techniques

Gong, Y; Zhang, L; Yu, K; Liu, R

Exploring Uplink Achievable Rate for HPO MIMO through Quasi-Monte Carlo and Variance Reduction Techniques

Gong, Y Zhang, L Yu, K Liu, R

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Access, 2020, 8, pp. 75874-75883
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Gong, Y
dc.contributor.author	Zhang, L
dc.contributor.author	Yu, K
dc.contributor.author	Liu, R https://orcid.org/0000-0001-7001-6305
dc.date.accessioned	2021-01-03T22:13:41Z
dc.date.available	2021-01-03T22:13:41Z
dc.date.issued	2020-01-01
dc.identifier.citation	IEEE Access, 2020, 8, pp. 75874-75883
dc.identifier.issn	2169-3536
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10453/145046
dc.description.abstract	© 2013 IEEE. The power consumption at the receiver side will be dramatically increased in the millimetre-wave and massive multiple-input-multiple-output (MIMO) communication systems due to the wide bandwidth and a large number of antennas adopted. A half phase-only MIMO (HPO MIMO) scheme, in which the base station (BS) acquires \pi -periodic phase measurements of the complex envelop signals was proposed very recently to overcome the above problem. Due to the non-linear nature of HPO MIMO, the valuation of the achievable rate is very challenging. The purpose of the paper is to provide an efficient method for calculating the achievable rate of the HPO MIMO system. By the mutual information theory, we transform the achievable rate into a sum of two high-dimensional integrations. However, calculating those integrations suffers from the enormous computational burden when using the traditional Monte-Carlo method. In order to increase efficiency, a new method by combining quasi-Monte Carlo with a variance reduction technique is proposed. Besides, we derive the probability density function (PDF) of the HPO MIMO system and analyze the uplink achievable rate of the HPO MIMO scheme. Numerical results show that our proposed method is efficient for calculating the achievable rate of the HPO MIMO system. With the proposed method we confirm that HPO MIMO is a promising technology in future low-power communication scenarios.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Access
dc.relation.isbasedon	10.1109/ACCESS.2020.2989235
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.title	Exploring Uplink Achievable Rate for HPO MIMO through Quasi-Monte Carlo and Variance Reduction Techniques
dc.type	Journal Article
utslib.citation.volume	8
utslib.for	0805 Distributed Computing
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2021-01-03T22:13:33Z
pubs.publication-status	Published
pubs.volume	8

Abstract:

© 2013 IEEE. The power consumption at the receiver side will be dramatically increased in the millimetre-wave and massive multiple-input-multiple-output (MIMO) communication systems due to the wide bandwidth and a large number of antennas adopted. A half phase-only MIMO (HPO MIMO) scheme, in which the base station (BS) acquires \pi -periodic phase measurements of the complex envelop signals was proposed very recently to overcome the above problem. Due to the non-linear nature of HPO MIMO, the valuation of the achievable rate is very challenging. The purpose of the paper is to provide an efficient method for calculating the achievable rate of the HPO MIMO system. By the mutual information theory, we transform the achievable rate into a sum of two high-dimensional integrations. However, calculating those integrations suffers from the enormous computational burden when using the traditional Monte-Carlo method. In order to increase efficiency, a new method by combining quasi-Monte Carlo with a variance reduction technique is proposed. Besides, we derive the probability density function (PDF) of the HPO MIMO system and analyze the uplink achievable rate of the HPO MIMO scheme. Numerical results show that our proposed method is efficient for calculating the achievable rate of the HPO MIMO system. With the proposed method we confirm that HPO MIMO is a promising technology in future low-power communication scenarios.

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http://hdl.handle.net/10453/145046