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Over-the-Air Computation With Multiple Receivers: A Space-Time Approach
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5621-2860
Linköping University, Department of Mathematics, Applied Mathematics. Linköping University, Faculty of Science & Engineering. Univ Vienna, Austria.
2023 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 12, no 8, p. 1399-1403Article in journal (Refereed) Published
Abstract [en]

The emerging concept of Over-the-Air (OtA) computation has shown great potential for achieving resource-efficient data aggregation across large wireless networks. However, current research in this area has been limited to the standard many-to-one topology, where multiple nodes transmit data to a single receiver. In this letter, we address the problem of applying OtA computation to scenarios with multiple receivers, and propose a novel communication design that exploits joint precoding and decoding over multiple time slots. To determine the optimal precoding and decoding vectors, we formulate an optimization problem that aims to minimize the mean squared error of the desired computations while satisfying the unbiasedness condition and power constraints. Our proposed multi-slot design is shown to be effective in saving communication resources (e.g., time slots) and achieving smaller estimation errors compared to the baseline approach of separating different receivers over time.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2023. Vol. 12, no 8, p. 1399-1403
Keywords [en]
Over-the-air computation; matrix factorization; multi-slot communication
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-197407DOI: 10.1109/LWC.2023.3275760ISI: 001045291900021OAI: oai:DiVA.org:liu-197407DiVA, id: diva2:1795399
Note

Funding Agencies|Zenith; ELLIIT; Swedish Research Council (VR); Wallenberg Al; Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation [305286]

Available from: 2023-09-08 Created: 2023-09-08 Last updated: 2023-09-08

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CiteExportLink to record
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Citation style
  • apa
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