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Vidit Saxena
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2020 – today
- 2022
- [j2]Vidit Saxena
, Hugo M. Tullberg, Joakim Jaldén
:
Reinforcement Learning for Efficient and Tuning-Free Link Adaptation. IEEE Trans. Wirel. Commun. 21(2): 768-780 (2022) - 2021
- [b1]Vidit Saxena:
Machine Learning for Wireless Link Adaptation: Supervised and Reinforcement Learning Theory and Algorithms. Royal Institute of Technology, Stockholm, Sweden, 2021 - [c12]Vidit Saxena, Hugo M. Tullberg, Joakim Jaldén:
Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling. PIMRC 2021: 610-616 - [c11]Jakob Stigenberg, Vidit Saxena, Soma Tayamon, Euhanna Ghadimi:
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning. PIMRC 2021: 991-997 - [i4]Jakob Stigenberg, Vidit Saxena, Soma Tayamon, Euhanna Ghadimi:
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning. CoRR abs/2107.06570 (2021) - 2020
- [c10]Vidit Saxena, Joakim Jaldén, Joseph Gonzalez:
Thompson Sampling for Linearly Constrained Bandits. AISTATS 2020: 1999-2009 - [c9]Lissy Pellaco, Vidit Saxena, Mats Bengtsson, Joakim Jaldén:
Wireless link adaptation with outdated CSI - a hybrid data-driven and model-based approach. SPAWC 2020: 1-5 - [c8]Vidit Saxena, Joakim Jaldén:
Bayesian Link Adaptation under a BLER Target. SPAWC 2020: 1-5 - [i3]Vidit Saxena, Joseph E. Gonzalez, Joakim Jaldén:
Thompson Sampling for Linearly Constrained Bandits. CoRR abs/2004.09258 (2020) - [i2]Vidit Saxena, Hugo M. Tullberg, Joakim Jaldén:
Reinforcement Learning for Efficient and Tuning-Free Link Adaptation. CoRR abs/2010.08651 (2020)
2010 – 2019
- 2019
- [j1]Vidit Saxena
, Joakim Jaldén
, Henrik Klessig
:
Optimal UAV Base Station Trajectories Using Flow-Level Models for Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 5(4): 1101-1112 (2019) - [c7]Pol del Aguila Pla, Vidit Saxena, Joakim Jaldén:
Spotnet-Learned Iterations For Cell Detection In Image-Based Immunoassays. ISBI 2019: 1023-1027 - [c6]Vidit Saxena, Joakim Jaldén, Joseph E. Gonzalez
, Mats Bengtsson, Hugo M. Tullberg, Ion Stoica:
Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks. NetAI@SIGCOMM 2019: 44-49 - [i1]Vidit Saxena, Joakim Jaldén, Joseph E. Gonzalez, Ion Stoica, Hugo M. Tullberg:
Constrained Thompson Sampling for Wireless Link Optimization. CoRR abs/1902.11102 (2019) - 2018
- [c5]Vidit Saxena, Baptiste Cavarec, Joakim Jaldén, Mats Bengtsson, Hugo M. Tullberg:
A Learning Approach for Optimal Codebook Selection in Spatial Modulation Systems. ACSSC 2018: 1800-1804 - [c4]Vidit Saxena, Joakim Jaldén, Mats Bengtsson, Hugo M. Tullberg:
Deep Learning for Frame Error Probability Prediction in BICM-OFDM Systems. ICASSP 2018: 6658-6662 - 2016
- [c3]Vidit Saxena, Johan Bergman, Yufei W. Blankenship, Anders Wallén, Hazhir Shokri-Razaghi:
Reducing the Modem Complexity and Achieving Deep Coverage in LTE for Machine-Type Communications. GLOBECOM 2016: 1-7 - [c2]Vidit Saxena, Anders Wallén, Tuomas Tirronen, Hazhir Shokri-Razaghi, Johan Bergman, Yufei W. Blankenship:
On the Achievable Coverage and Uplink Capacity of Machine-Type Communications (MTC) in LTE Release 13. VTC Fall 2016: 1-6 - 2015
- [c1]Vidit Saxena, Gábor Fodor
, Eleftherios Karipidis:
Mitigating Pilot Contamination by Pilot Reuse and Power Control Schemes for Massive MIMO Systems. VTC Spring 2015: 1-6
Coauthor Index
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