ReMAC: Digital Multiple Access Computing by Repeated Transmissions

In this paper, we consider the ChannelComp framework, where multiple transmitters aim to compute a function of their values at a common receiver while using digital modulations over a multiple access channel. ChannelComp provides a general framework for computation by designing digital constellations for over-the-air computation. Currently, ChannelComp uses a symbol-level encoding. However, encoding repeated transmissions of the same symbol and performing the function computation using the corresponding received sequence may significantly improve the computation performance and reduce the encoding complexity. In this paper, we propose a new scheme where each transmitter repeats the transmission of the same symbol over multiple time slots while encoding such repetitions and designing constellation diagrams to minimize computational errors. We formally model such a scheme by an optimization problem, whose solution jointly identifies the constellation diagram and the repetition code. We call the proposed scheme Repetition for Multiple Access Computing (ReMAC). To manage the computational complexity of the optimization, we divide it into two tractable subproblems. We verify the performance of ReMAC by numerical experiments. The simulation results reveal that ReMAC can reduce the computation error in noisy and fading channels by approximately up to 4.5 dB compared to standard ChannelComp, particularly for the max function.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2025-04-29
DOI
https://doi.org/10.1109/tcomm.2025.3565608
Citations
1
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

ReMAC: Digital Multiple Access Computing by Repeated Transmissions

Saeed Razavikia, Carlo Fischione, Xiang Yan
1 citations
IEEE Transactions on Communications
Interconnection Networks and Systems
1.49
article

ReMAC: Digital Multiple Access Computing by Repeated Transmissions

Saeed Razavikia, Carlo Fischione, Xiang Yan
article en
1 citations

Abstract

In this paper, we consider the ChannelComp framework, where multiple transmitters aim to compute a function of their values at a common receiver while using digital modulations over a multiple access channel. ChannelComp provides a general framework for computation by designing digital constellations for over-the-air computation. Currently, ChannelComp uses a symbol-level encoding. However, encoding repeated transmissions of the same symbol and performing the function computation using the corresponding received sequence may significantly improve the computation performance and reduce the encoding complexity. In this paper, we propose a new scheme where each transmitter repeats the transmission of the same symbol over multiple time slots while encoding such repetitions and designing constellation diagrams to minimize computational errors. We formally model such a scheme by an optimization problem, whose solution jointly identifies the constellation diagram and the repetition code. We call the proposed scheme Repetition for Multiple Access Computing (ReMAC). To manage the computational complexity of the optimization, we divide it into two tractable subproblems. We verify the performance of ReMAC by numerical experiments. The simulation results reveal that ReMAC can reduce the computation error in noisy and fading channels by approximately up to 4.5 dB compared to standard ChannelComp, particularly for the max function.

IEEE Transactions on CommunicationsVol. 73(10)
KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 18%
Interconnection Networks and Systems
1.49
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ReMAC: Digital Multiple Access Computing by Repeated Transmissions — Saeed Razavikia, Carlo Fischione, et al. · IEEE Transactions on Communications (2025) | TGRS Research Map | TGRS