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This letter studies channel coding for over-the-air computation (AirComp). AirComp enables efficient wireless data aggregation, where computation accuracy is the key performance metric. However, this accuracy is sensitive to channel…

Information Theory · Computer Science 2026-05-05 Shudi Weng , Ming Xiao , Mikael Skoglund

M-ary On-Off Frequency-Shift-Keying (OOFSK) is a digital modulation format in which M-ary FSK signaling is overlaid on On/Off keying. This paper investigates the potential of this modulation format in the context of wideband fading…

Information Theory · Computer Science 2007-07-13 Mustafa Cenk Gursoy , Sergio Verdu , H. Vincent Poor

Inductively coupled resonant circuits are affected by the so-called frequency splitting phenomenon at short distances. In the area of power electronics, tracking of one of the peak frequencies is state-of-the-art. In the data transmission…

Signal Processing · Electrical Eng. & Systems 2020-04-13 Peter A. Hoeher

Over-the-air computation (AirComp) leverages the signal-superposition characteristic of wireless multiple access channels to perform mathematical computations. Initially introduced to enhance communication reliability in interference…

Signal Processing · Electrical Eng. & Systems 2025-11-05 Ana Pérez-Neira , Marc Martinez-Gost , Alphan Şahin , Saeed Razavikia , Carlo Fischione , Kaibin Huang

Distributed optimization concerns the optimization of a common function in a distributed network, which finds a wide range of applications ranging from machine learning to vehicle platooning. Its key operation is to aggregate all local…

Information Theory · Computer Science 2022-04-15 Zhenyi Lin , Yi Gong , Kaibin Huang

Motivated by increasing computational capabilities of wireless devices, as well as unprecedented levels of user- and device-generated data, new distributed machine learning (ML) methods have emerged. In the wireless community, Federated…

Signal Processing · Electrical Eng. & Systems 2021-11-22 Henrik Hellström , Viktoria Fodor , Carlo Fischione

In this paper, we consider decentralized federated learning (FL) over wireless networks, where over-the-air computation (AirComp) is adopted to facilitate the local model consensus in a device-to-device (D2D) communication manner. However,…

Information Theory · Computer Science 2021-06-16 Yandong Shi , Yong Zhou , Yuanming Shi

In the context of task-oriented communications we advocate the development of waveforms for Federated Edge Learning (FEEL). Over-the-air computing (AirComp) has emerged as a communication scheme that allows to compute a function out of…

Signal Processing · Electrical Eng. & Systems 2024-07-01 Marc Martinez-Gost , Ana Pérez-Neira , Miguel Ángel Lagunas

This paper investigates over-the-air computation (AirComp) over multiple-access time-varying channels, where devices with high mobility transmit their sensing data to a fusion center (FC) for averaging. To combat the Doppler shift induced…

Information Theory · Computer Science 2024-12-30 Xinyu Huang , Henrik Hellström , Carlo Fischione

Motivated by the ideal peak-to-average-power ratio and radar sensing capability of traditional frequency-coded radar waveforms, this paper considers the frequency shift keying (FSK) based waveform for joint communications and radar (JCR).…

Information Theory · Computer Science 2025-07-14 Tian Han , Peter J Smith , Urbashi Mitra , Jamie S Evans , Rajitha Senanayake

Over-the-air computation (AirComp) leveraging the superposition property of wireless multiple-access channel (MAC), is a promising technique for effective data collection and computation of large-scale wireless sensor measurements in…

Information Theory · Computer Science 2024-10-28 Wanchun Liu , Xin Zang , Branka Vucetic , Yonghui Li

This paper studies a hierarchical over-the-air computation (AirComp) network over a large area, in which multiple relays are exploited to facilitate data aggregation from massive WDs. We present a two-phase amplify-and-forward (AF) relaying…

Information Theory · Computer Science 2022-01-25 Feng Wang , Jie Xu , Vincent K. N. Lau , Shuguang Cui

The conventional FL methods face critical challenges in realistic wireless edge networks, where training data is both limited and heterogeneous, often leading to unstable training and poor generalization. To address these challenges in a…

Signal Processing · Electrical Eng. & Systems 2025-06-09 Jun-Pyo Hong , Hyowoon Seo , Kisong Lee

We discuss the application of coded modulation for power-line communications. We combine M-ary FSK with diversity and coding to make the transmission robust against permanent frequency disturbances and impulse noise. We give a particular…

Information Theory · Computer Science 2011-04-11 A. J. Han Vinck

Over-the-air computation (AirComp) has traditionally been built on the principle of pre-embedding computation into transmitted waveforms or on exploiting massive antenna arrays, often requiring the wireless multiple-access channel (MAC) to…

Information Theory · Computer Science 2026-04-07 Seyed Mohammad Azimi-Abarghouyi

Analog network coding (ANC) is a throughput increasing technique for the two-way relay channel (TWRC) whereby two end nodes transmit simultaneously to a relay at the same time and band, followed by the relay broadcasting the received sum of…

Information Theory · Computer Science 2017-03-07 Terry Ferrett , Matthew C. Valenti

In future Internet-of-Things networks, sensors or even access points can be mounted on ground/aerial vehicles for smart-city surveillance or environment monitoring. To support the high-mobility sensing with low network latency, a technique…

Information Theory · Computer Science 2018-07-13 Guangxu Zhu , Kaibin Huang

A noncoherent two-way relaying system is developed using physical-layer network coding for improved throughput over conventional relaying in a fading channel. Energy-efficient noncoherent operation is achieved using multitone frequency…

Information Theory · Computer Science 2018-02-01 Terry Ferrett , Matthew C. Valenti

Departing from the classic paradigm of data-centric designs, the 6G networks for supporting edge AI features task-oriented techniques that focus on effective and efficient execution of AI task. Targeting end-to-end system performance, such…

Information Theory · Computer Science 2022-11-03 Dingzhu Wen , Xiang Jiao , Peixi Liu , Guangxu Zhu , Yuanming Shi , Kaibin Huang

The rapid advancement of artificial intelligence technologies has given rise to diversified intelligent services, which place unprecedented demands on massive connectivity and gigantic data aggregation. However, the scarce radio resources…

Signal Processing · Electrical Eng. & Systems 2024-07-11 Zhibin Wang , Yapeng Zhao , Yong Zhou , Yuanming Shi , Chunxiao Jiang , Khaled B. Letaief