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Due to its high communication efficiency, over-the-air computation (AirComp) has been expected to carry out various computing tasks in the next-generation wireless networks.
H. Wymeersch, H. Steendam, and M. Moeneclaey, “Log-domain decoding of ldpc codes over gf(q),” in 2004 IEEE Int. Conf. Commun. , vol. 2, 2004, pp. 772–776 Vol.2
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B. Nazer and M. Gastpar, “Computation over multiple-access channels,” IEEE Trans. Inf. Theory , vol. 53, no. 10, pp. 3498–3516, 2007
2007
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——, “Compute-and-forward: Harnessing interference through structured codes,” IEEE Trans. Inf. Theory , vol. 57, no. 10, pp. 6463–6486, 2011
2011
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“Ieee standard for information technology–telecommunications and information exchange between systems local and metropolitan area networks–specific requirements part 11: Wireless lan medium access control (mac) and physical layer (phy) specifications,” IEEE Std 802.11-2012 (Revision of IEEE Std 802.11-2007) , pp. 1–2793, 2012
2012
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K. Yang, T. Jiang, Y. Shi, and Z. Ding, “Federated learning via over-the-air computation,” IEEE Trans. Wireless Commun. , vol. 19, no. 3, pp. 2022–2035, 2020
2020
Cited alongside, same era.
G. Zhu, Y. Du, D. Gündüz, and K. Huang, “One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis,” IEEE Trans. Wireless Commun. , vol. 20, no. 3, pp. 2120–2135, 2021
2021
Cited alongside, same era.
G. Zhu, J. Xu, K. Huang, and S. Cui, “Over-the-air computing for wireless data aggregation in massive iot,” IEEE Wireless Commun. , vol. 28, no. 4, pp. 57–65, 2021
2021
Cited alongside, same era.
C.-X. Wang, X. You, X. Gao, X. Zhu, Z. Li, C. Zhang, H. Wang, Y. Huang, Y. Chen, H. Haas, J. S. Thompson, E. G. Larsson, M. D. Renzo, W. Tong, P. Zhu, X. Shen, H. V. Poor, and L. Hanzo, “On the road to 6g: Visions, requirements, key technologies, and testbeds,” IEEE Commun. Surv. Tutorials , vol. 25, no. 2, pp. 905–974, 2023
2023
Closest in time.
X. Xie, C. Hua, J. Hong, P. Gu, and W. Xu, “Aircon: Over-the-air consensus for wireless blockchain networks,” IEEE Trans. Mob. Comput. , pp. 1–17, 2023
2023
Closest in time.
L. You, X. Zhao, R. Cao, Y. Shao, and L. Fu, “Broadband digital over-the-air computation for wireless federated edge learning,” IEEE Trans. Mob. Comput. , pp. 1–16, 2023
2023
Closest in time.
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