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The 6G mobile networks feature two new usage scenarios -- distributed sensing and edge artificial intelligence (AI).
K. Kim, Y. Han, and S.-L. Kim, “Joint subcarrier and power allocation in uplink OFDMA systems,” IEEE Commun. Lett. , vol. 9, no. 6, pp. 526–528, Jun. 2005
2005
Earlier work this paper cites.
M. Ehrgott, “A discussion of scalarization techniques for multiple objective integer programming,” Ann. Oper. Res. , vol. 147, no. 1, pp. 343–360, 2006
2006
Earlier work this paper cites.
J. Chen, R. A. Berry, and M. L. Honig, “Limited feedback schemes for downlink OFDMA based on sub-channel groups,” IEEE J. Sel. Areas Commun. , vol. 26, no. 8, pp. 1451–1461, Oct. 2008
2008
Earlier work this paper cites.
B. Nazer and M. Gastpar, “Compute-and-forward: Harnessing interference through structured codes,” IEEE Trans. Inf. Theory , vol. 57, no. 10, pp. 6463–6486, Oct. 2011
2011
Earlier work this paper cites.
S.-W. Kim, Z. J. Chong, B. Qin, X. Shen, Z. Cheng, W. Liu, and M. H. Ang, “Cooperative perception for autonomous vehicle control on the road: Motivation and experimental results,” in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS) , Tokyo, Japan, Oct. 1–5, 2013
2013
Earlier work this paper cites.
Y. Liu, Z. Tan, H. Hu, L. J. Cimini, and G. Y. Li, “Channel estimation for OFDM,” IEEE Commun. Surveys Tuts. , vol. 16, no. 4, pp. 1891–1908, Fourthquarter 2014
2014
Earlier work this paper cites.
L. Belhoul, L. Galand, and D. Vanderpooten, “An efficient procedure for finding best compromise solutions to the multi-objective assignment problem,” Comput. Oper. Res. , vol. 49, pp. 97–106, Sep. 2014
2014
Earlier work this paper cites.
S. Limmer, J. Mohammadi, and S. Stańczak, “A simple algorithm for approximation by nomographic functions,” in Proc. 53rd Annu. Allert. Conf. Commun. Control Comput. (Allerton) , Monticello, IL, USA, Sep. 29 – Oct. 2, 2015
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards real-time object detection with region proposal networks,” IEEE Trans. Pattern Anal. Mach. Intell. , vol. 39, no. 6, pp. 1137–1149, Jun. 2017
2017
Earlier work this paper cites.
Y. Zhou and O. Tuzel, “VoxelNet: End-to-end learning for point cloud based 3D object detection,” in Proc. IEEE/CVF Conf. Comput. Vision Pattern Recogn. (CVPR) , Salt Lake City, UT, USA, Jun. 18–23, 2018
2018
Earlier work this paper cites.
H. Qiu, F. Ahmad, F. Bai, M. Gruteser, and R. Govindan, “AVR: Augmented Vehicular Reality,” in Proc. 16th Annu. Int. Conf. Mobile Syst., Appl., Services (MobiSys) , Munich, Germany, Jun. 10–15, 2018
2018
Earlier work this paper cites.
G. Zhu and K. Huang, “MIMO over-the-air computation for high-mobility multimodal sensing,” IEEE Internet Things J. , vol. 6, no. 4, pp. 6089–6103, Aug. 2019
2019
Earlier work this paper cites.
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom, “PointPillars: Fast encoders for object detection from point clouds,” in Proc. IEEE Conf. Comput. Vision Pattern Recogn. (CVPR) , Long Beach, CA, USA, Jun. 16-20, 2019
2019
Earlier work this paper cites.
Q. Chen, X. Ma, S. Tang, J. Guo, Q. Yang, and S. Fu, “F-Cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds,” in Proc. ACM/IEEE Symp. Edge Comput. , Washington, DC, USA, Nov. 7–9, 2019
2019
Earlier work this paper cites.
G. Zhu, Y. Wang, and K. Huang, “Broadband analog aggregation for low-latency federated edge learning,” IEEE Trans. Wireless Commun. , vol. 19, no. 1, pp. 491–506, Jan. 2020
2020
Earlier work this paper cites.
M. M. Amiri and D. Gündüz, “Federated learning over wireless fading channels,” IEEE Trans. Wireless Commun. , vol. 19, no. 5, pp. 3546–3557, May 2020
2020
Earlier work this paper cites.
J. Shao and J. Zhang, “Communication-computation trade-off in resource-constrained edge inference,” IEEE Commun. Mag. , vol. 58, no. 12, pp. 20–26, Dec. 2020
2020
Cited alongside, same era.
X. Huang and S. Zhou, “Dynamic compression ratio selection for edge inference systems with hard deadlines,” IEEE Internet Things J. , vol. 7, no. 9, pp. 8800–8810, Sep. 2020
2020
Cited alongside, same era.
X. Cao, G. Zhu, J. Xu, and K. Huang, “Optimized power control for over-the-air computation in fading channels,” IEEE Trans. Wireless Commun. , vol. 19, no. 11, pp. 7498–7513, Nov. 2020
2020
Cited alongside, same era.
W. Liu, X. Zang, Y. Li, and B. Vucetic, “Over-the-air computation systems: Optimization, analysis and scaling laws,” IEEE Trans. Wireless Commun. , vol. 19, no. 8, pp. 5488–5502, Aug. 2020
2020
Cited alongside, same era.
R. Xu, H. Xiang, X. Xia, X. Han, J. Li, and J. Ma, “OPV2V: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication,” in Proc. IEEE Int. Conf. Robot. Autom. (ICRA) , Philadelphia, PA, USA, May 23–27, 2022
2022
Later among the works it cites.
X. Chen, E. G. Larsson, and K. Huang, “Analog MIMO communication for one-shot distributed principal component analysis,” IEEE Trans. Signal Process. , vol. 70, pp. 3328–3342, Jun. 2022
2022
Later among the works it cites.
Y. Li, D. Ma, Z. An, Z. Wang, Y. Zhong, S. Chen, and C. Feng, “V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,” IEEE Robot. Autom. Lett. , vol. 7, no. 4, pp. 10 914–10 921, Jul. 2022
2022
Later among the works it cites.
ITU-R, “Framework and overall objectives of the future development of IMT for 2030 and beyond,” [Online] https://www.itu.int/rec/R-REC-M.2160-0-202311-I/en, 2023
2023
Later among the works it cites.
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2020
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, Aug. 2021
2021
Cited alongside, same era.
M. Chen, D. Gündüz, K. Huang, W. Saad, M. Bennis, A. V. Feljan, and H. V. Poor, “Distributed learning in wireless networks: Recent progress and future challenges,” IEEE J. Sel. Areas Commun. , vol. 39, no. 12, pp. 3579–3605, Dec. 2021
2021
Cited alongside, same era.
X. Cao, G. Zhu, J. Xu, and K. Huang, “Cooperative interference management for over-the-air computation networks,” IEEE Trans. Wireless Commun. , vol. 20, no. 4, pp. 2634–2651, Apr. 2021
2021
Cited alongside, same era.
M. Krouka, A. Elgabli, C. ben Issaid, and M. Bennis, “Communication-efficient split learning based on analog communication and over the air aggregation,” in Proc. IEEE Global Commun. Conf. (GLOBECOM) , Madrid, Spain, Dec. 7-11, 2021
2021
Cited alongside, same era.
T. Qin, W. Liu, B. Vucetic, and Y. Li, “Over-the-air computation via broadband channels,” IEEE Wireless Commun. Lett. , vol. 10, no. 10, pp. 2150–2154, Oct. 2021
2021
Cited alongside, same era.
N. Zhang and M. Tao, “Gradient statistics aware power control for over-the-air federated learning,” IEEE Trans. Wireless Commun. , vol. 20, no. 8, pp. 5115–5128, Aug. 2021
2021
Cited alongside, same era.
T. Sery, N. Shlezinger, K. Cohen, and Y. C. Eldar, “Over-the-air federated learning from heterogeneous data,” IEEE Trans. Signal Process. , vol. 69, pp. 3796–3811, Jun. 2021
2021
Cited alongside, same era.
H. Xing, G. Zhu, D. Liu, H. Wen, K. Huang, and K. Wu, “Task-oriented integrated sensing, computation and communication for wireless edge AI,” IEEE Netw. , vol. 37, no. 4, pp. 135–144, July/August 2023
2023
Later among the works it cites.
Q. Lan, Q. Zeng, P. Popovski, D. Gündüz, and K. Huang, “Progressive feature transmission for split classification at the wireless edge,” IEEE Trans. Wireless Commun. , vol. 22, no. 6, pp. 3837–3852, Jun. 2023
2023
Later among the works it cites.
J. Shao, Y. Mao, and J. Zhang, “Task-oriented communication for multidevice cooperative edge inference,” IEEE Trans. Wireless Commun. , vol. 22, no. 1, pp. 73–87, Jan. 2023
2023
Later among the works it cites.
Z. Lin, H. Liu, and Y.-J. A. Zhang, “CFLIT: Coexisting federated learning and information transfer,” IEEE Trans. Wireless Commun. , vol. 22, no. 11, pp. 8436–8453, Nov. 2023
2023
Later among the works it cites.
C. Xiang, C. Feng, X. Xie, B. Shi, H. Lu, Y. Lv, M. Yang, and Z. Niu, “Multi-sensor fusion and cooperative perception for autonomous driving: A review,” IEEE Intell. Transp. Syst. Mag. , vol. 15, no. 5, pp. 36–58, Aug. 2023
2023
Later among the works it cites.
Y. Gu, C. She, Z. Quan, C. Qiu, and X. Xu, “Graph neural networks for distributed power allocation in wireless networks: Aggregation over-the-air,” IEEE Trans. Wireless Commun. , vol. 22, no. 11, pp. 7551–7564, Mar. 2023
2023
Later among the works it cites.
Q. Zhang, Z. Feng, and P. Zhang, “Hardware testbed design and performance evaluation for ISAC enabled CAVs,” in Integrated Sensing and Communications , F. Liu, C. Masouros, and Y. C. Eldar, Eds. Singapore: Springer Singapore, 2023, pp. 567–586
2023
Later among the works it cites.
X. Chen, K. B. Letaief, and K. Huang, “On the view-and-channel aggregation gain in integrated sensing and edge AI,” IEEE J. Sel. Areas Commun. , vol. 42, no. 9, pp. 2292–2305, Sep. 2024
2024
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Z. Liu, Q. Lan, A. E. Kalør, P. Popovski, and K. Huang, “Over-the-air multi-view pooling for distributed sensing,” IEEE Trans. Wireless Commun. , vol. 23, no. 7, pp. 7652–7667, Jul. 2024
2024
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D. Wen, P. Liu, G. Zhu, Y. Shi, J. Xu, Y. C. Eldar, and S. Cui, “Task-oriented sensing, computation, and communication integration for multi-device edge AI,” IEEE Trans. Wireless Commun. , vol. 23, no. 3, pp. 2486–2502, Mar. 2024
2024
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Z. Zhuang, D. Wen, Y. Shi, G. Zhu, S. Wu, and D. Niyato, “Integrated sensing-communication-computation for over-the-air edge AI inference,” IEEE Trans. Wireless Commun. , vol. 23, no. 4, pp. 3205–3220, Apr. 2024
2024
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Y. Sun, Z. Lin, Y. Mao, S. Jin, and J. Zhang, “Channel and gradient-importance aware device scheduling for over-the-air federated learning,” IEEE Trans. Wireless Commun. , vol. 23, no. 7, pp. 6905–6920, Jul. 2024
2024
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D. Wen, X. Jiao, P. Liu, G. Zhu, Y. Shi, and K. Huang, “Task-oriented over-the-air computation for multi-device edge AI,” IEEE Trans. Wireless Commun. , vol. 23, no. 3, pp. 2039–2053, Jul. 2024
2024
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