Publications by Vishnu Narayanan Moothedath
Peer reviewed
Articles
[1]
V. N. Moothedath, J. P. Champati and J. Gross, "Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge," IEEE Transactions on Machine Learning in Communications and Networking, pp. 1-1, 2024.
[2]
V. N. Moothedath, J. P. Champati and J. Gross, "Energy Efficient Sampling Policies for Edge Computing Feedback Systems," IEEE Transactions on Mobile Computing, pp. 1-1, 2022.
[3]
V. N. Moothedath and S. Bhashyam, "Distributed Pareto Optimal Beamforming for the MISO Multi-Band Multi-Cell Downlink," IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7196-7209, 2020.
Conference papers
[4]
S. S. Mostafavi et al., "ExPECA : An Experimental Platform for Trustworthy Edge Computing Applications," in 2023 IEEE/ACM SYMPOSIUM ON EDGE COMPUTING, SEC 2023, 2023, pp. 294-299.
[5]
M. Alsakati et al., "Performance of 802.11be Wi-Fi 7 with Multi-Link Operation on AR Applications," in 2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023.
[6]
G. Al-Atat et al., "The Case for Hierarchical Deep Learning Inference at the Network Edge," in NetAISys 2023 - Proceedings of the 1st International Workshop on Networked AI Systems, Part of MobiSys 2023, 2023, pp. 13-18.
[7]
M. O. Olguín Muñoz et al., "Ainur : A Framework for Repeatable End-to-End Wireless Edge Computing Testbed Research," in European Wireless Conference, EW 2022, 2022, pp. 139-145.
[8]
V. N. Moothedath, "Energy-Optimal Sampling for Edge Computing Feedback Systems : Aperiodic Case," in 2022 IEEE/ACM 7TH SYMPOSIUM ON EDGE COMPUTING (SEC 2022), 2022, pp. 322-328.
[9]
V. N. Moothedath, J. P. Champati and J. Gross, "Energy-Optimal Sampling of Edge-Based Feedback Systems," in 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings, 2021.
[10]
V. N. Moothedath and S. Bhashyam, "Pareto Optimal Distributed Beamforming for the Multi-Band Multi-Cell Downlink," in Proceedings GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017.
Non-peer reviewed
Other
[11]
M. O. Olguín Muñoz et al., "Realistic Modeling of Human Timings for Wearable Cognitive Assistance," (Manuscript).
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