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Research Paper#Communication Systems, AirComp, Digital Modulation🔬 ResearchAnalyzed: Jan 3, 2026 17:07

Digital AirComp with Complement Coding

Published:Dec 31, 2025 11:16
1 min read
ArXiv

Analysis

This paper addresses limitations of analog signals in over-the-air computation (AirComp) by proposing a digital approach using two's complement coding. The key innovation lies in encoding quantized values into binary sequences for transmission over subcarriers, enabling error-free computation with minimal codeword length. The paper also introduces techniques to mitigate channel fading and optimize performance through power allocation and detection strategies. The focus on low SNR regimes suggests a practical application focus.
Reference

“The paper theoretically ensures asymptotic error free computation with the minimal codeword length.”

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Research Paper#Federated Learning, Space Data Centers, Free-Space Optical Communication🔬 ResearchAnalyzed: Jan 3, 2026 15:52

OptiVote: FSO-Based Federated Learning for Space Data Centers

Published:Dec 30, 2025 16:40
1 min read
ArXiv

Analysis

This paper addresses the challenge of enabling efficient federated learning in space data centers, which are bandwidth and energy-constrained. The authors propose OptiVote, a novel non-coherent free-space optical (FSO) AirComp framework that overcomes the limitations of traditional coherent AirComp by eliminating the need for precise phase synchronization. This is a significant contribution because it makes federated learning more practical in the challenging environment of space.
Reference

“OptiVote integrates sign stochastic gradient descent (signSGD) with a majority-vote (MV) aggregation principle and pulse-position modulation (PPM), where each satellite conveys local gradient signs by activating orthogonal PPM time slots.”

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