Over-the-air Function Computation in Sensor Networks
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Abstract (arXiv)
Many sensor applications are interested in computing a function over measurements (e.g., sum, average, max) as opposed to collecting all sensor data. Today, such data aggregation is done in a cluster-head. Sensor nodes transmit their values sequentially to a cluster-head node, which calculates the aggregation function and forwards it to the base station. In contrast, this paper explores the possibility of computing a desired function over the air. We devise a solution that enables sensors to transmit coherently over the wireless medium so that the cluster-head directly receives the value of the desired function. We present analysis and preliminary results that demonstrate that such a design yield a large improvement in network throughput.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Dec 2016.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 3; 2024: 2.
11 papers.
- 2021Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysiscited by 51
- 2022A Survey on Over-the-Air Computationcited by 19
- 2024A Survey on Integrated Sensing, Communication, and Computationcited by 12
- 2021Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approachcited by 11
- 2023Over-the-Air Federated Learning and Optimizationcited by 10
- 2022Over-the-Air Federated Learning with Joint Adaptive Computation and Power Controlcited by 8
- 2021Over-the-Air Federated Learning with Retransmissions (Extended Version)cited by 1
- 2022Secure Over-the-Air Computation using Zero-Forced Artificial Noisecited by 0
- 2023PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learningcited by 0
- 2023Over-the-Air Computation in OFDM Systems with Imperfect Channel State Informationcited by 0
- 2024Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketchingcited by 0
- 2024Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketching30 Oct 2024
- 2024A Survey on Integrated Sensing, Communication, and Computation15 Aug 2024
- 2023Over-the-Air Federated Learning and Optimization16 Oct 2023
- 2023Over-the-Air Computation in OFDM Systems with Imperfect Channel State Information7 Jul 2023
- 2023PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning24 Jan 2023
- 2022Secure Over-the-Air Computation using Zero-Forced Artificial Noise8 Dec 2022
- 2022A Survey on Over-the-Air Computation20 Oct 2022
- 2022Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control12 May 2022
- 2021Over-the-Air Federated Learning with Retransmissions (Extended Version)19 Nov 2021
- 2021Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach16 Feb 2021
- 2021Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis29 Jan 2021