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Article: Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation

TitleSimultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation
Authors
KeywordsMachine learning
Multiple access interference
interference channels
uplink
Issue Date2020
PublisherIEEE. The Journal's web site is located at https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER255-ELE
Citation
IEEE Wireless Communications Letters, 2020, v. 9 n. 9, p. 1342-1345 How to Cite?
AbstractThe next-generation wireless -20mm]Our records show Qiao Lan is a Graduate Student Member, IEEE. Please verify. networks are envisioned to support large-scale sensing and distributed machine learning, thereby enabling new intelligent mobile applications. One common network operation will be the aggregation of distributed data (such as sensor observations or AI-model updates) for functional computation (e.g., averaging) so as to support large-scale sensing and distributed machine learning. An efficient solution for data aggregation, called over-the-air computation (AirComp), embeds functional computation into simultaneous access by many edge devices. Such schemes exploit the waveform superposition of a multi-access channel to allow an access point to receive a desired function of simultaneous signals. In this letter, we aim at realizing AirComp in a two-cell multi-antenna system. To this end, a novel scheme of simultaneous signal-and-interference alignment (SIA) is proposed that builds on classic IA to manage interference for multi-cell AirComp. The principle of SIA is to divide the spatial channel space into two subspaces with equal dimensions: one for signal alignment required by AirComp and the other for inter-cell IA. As a result, the number of interference-free spatially multiplexed functional streams received by each AP is maximized (equal to half of the available spatial degrees-of-freedom). Furthermore, the number is independent of the population of devices in each cell. In addition, the extension to SIA for more than two cells is discussed.
Persistent Identifierhttp://hdl.handle.net/10722/295853
ISSN
2023 Impact Factor: 4.6
2023 SCImago Journal Rankings: 2.872
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLAN, Q-
dc.contributor.authorKang, HS-
dc.contributor.authorHuang, K-
dc.date.accessioned2021-02-08T08:14:57Z-
dc.date.available2021-02-08T08:14:57Z-
dc.date.issued2020-
dc.identifier.citationIEEE Wireless Communications Letters, 2020, v. 9 n. 9, p. 1342-1345-
dc.identifier.issn2162-2337-
dc.identifier.urihttp://hdl.handle.net/10722/295853-
dc.description.abstractThe next-generation wireless -20mm]Our records show Qiao Lan is a Graduate Student Member, IEEE. Please verify. networks are envisioned to support large-scale sensing and distributed machine learning, thereby enabling new intelligent mobile applications. One common network operation will be the aggregation of distributed data (such as sensor observations or AI-model updates) for functional computation (e.g., averaging) so as to support large-scale sensing and distributed machine learning. An efficient solution for data aggregation, called over-the-air computation (AirComp), embeds functional computation into simultaneous access by many edge devices. Such schemes exploit the waveform superposition of a multi-access channel to allow an access point to receive a desired function of simultaneous signals. In this letter, we aim at realizing AirComp in a two-cell multi-antenna system. To this end, a novel scheme of simultaneous signal-and-interference alignment (SIA) is proposed that builds on classic IA to manage interference for multi-cell AirComp. The principle of SIA is to divide the spatial channel space into two subspaces with equal dimensions: one for signal alignment required by AirComp and the other for inter-cell IA. As a result, the number of interference-free spatially multiplexed functional streams received by each AP is maximized (equal to half of the available spatial degrees-of-freedom). Furthermore, the number is independent of the population of devices in each cell. In addition, the extension to SIA for more than two cells is discussed.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER255-ELE-
dc.relation.ispartofIEEE Wireless Communications Letters-
dc.rightsIEEE Wireless Communications Letters. Copyright © IEEE.-
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.-
dc.subjectMachine learning-
dc.subjectMultiple access interference-
dc.subjectinterference channels-
dc.subjectuplink-
dc.titleSimultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation-
dc.typeArticle-
dc.identifier.emailHuang, K: huangkb@eee.hku.hk-
dc.identifier.authorityHuang, K=rp01875-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LWC.2020.2988999-
dc.identifier.scopuseid_2-s2.0-85091145889-
dc.identifier.hkuros321257-
dc.identifier.volume9-
dc.identifier.issue9-
dc.identifier.spage1342-
dc.identifier.epage1345-
dc.identifier.isiWOS:000569062000002-
dc.publisher.placeUnited States-

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