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Robust design for massive CSI acquisition in analog function computation networks

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Ang, Fan, Chen, Li, Zhao, Nan, Chen, Yunfei and Yu, F. Richard (2019) Robust design for massive CSI acquisition in analog function computation networks. IEEE Transactions on Vehicular Technology, 68 (3). pp. 2361-2373. doi:10.1109/TVT.2019.2891904 ISSN 0018-9545.

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Official URL: https://doi.org/10.1109/TVT.2019.2891904

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Abstract

Analog function computation utilizes the superposition property of multi-access channel (MAC) to compute the target function in an efficient way. However, its corresponding transceiver requires global channel state information (CSI) of the network, which incurs large latency. To tackle this challenge, a novel scheme called over-the-air signaling procedure is proposed by exploiting a defined effective CSI in this paper. We first derive the training complexity of the proposed scheme and compare it with the conventional design. It is shown that the training complexity of the proposed scheme can be greatly reduced for massive CSI acquisition by avoiding collecting individual CSI. To account for the difference of the desired CSI, a corresponding robust model is further discussed. Through modeling the channel uncertainties under the expectation-based model and the worst- case model, we formulate the transceiver optimization for both the conventional scheme and the over-the-air signaling procedure. The computational time complexity is derived as a polynomial expression, and it can be significantly reduced for the over-the- air signaling procedure due to its independence of the number of nodes. Finally, the mean-square error (MSE) improvement and complexity reduction of the proposed design are demonstrated via simulation.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Multiple access protocols (Computer network protocols), Radio -- Transmitter-receivers
Journal or Publication Title: IEEE Transactions on Vehicular Technology
Publisher: IEEE
ISSN: 0018-9545
Official Date: March 2019
Dates:
DateEvent
March 2019Published
9 January 2019Available
6 January 2019Accepted
Volume: 68
Number: 3
Page Range: pp. 2361-2373
DOI: 10.1109/TVT.2019.2891904
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2019 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.
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 7 January 2019
Date of first compliant Open Access: 8 January 2019
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
61601432[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
UNSPECIFIED[MEPRC] Ministry of Education of the People's Republic of Chinahttp://dx.doi.org/10.13039/501100002338
61871065[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
2018D03Southeast Universityhttp://dx.doi.org/10.13039/501100008081
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