| 2021 | PIMRC | Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling. | Vidit Saxena, Hugo M. Tullberg, Joakim Jaldn |
| 2021 | PIMRC | QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning. | Jakob Stigenberg, Vidit Saxena, Soma Tayamon, Euhanna Ghadimi |
| 2020 | AISTATS | Thompson Sampling for Linearly Constrained Bandits. | Vidit Saxena, Joakim Jaldn, Joseph Gonzalez |
| 2019 | SIGCOMM | Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks. | Vidit Saxena, Joakim Jaldn, Joseph E. Gonzalez, Mats Bengtsson, Hugo M. Tullberg, Ion Stoica |
| 2018 | ACSSC | A Learning Approach for Optimal Codebook Selection in Spatial Modulation Systems. | Vidit Saxena, Baptiste Cavarec, Joakim Jaldn, Mats Bengtsson, Hugo M. Tullberg |
| 2018 | ICASSP | Deep Learning for Frame Error Probability Prediction in BICM-OFDM Systems. | Vidit Saxena, Joakim Jaldn, Mats Bengtsson, Hugo M. Tullberg |
| 2016 | GLOBECOM | Reducing the Modem Complexity and Achieving Deep Coverage in LTE for Machine-Type Communications. | Vidit Saxena, Johan Bergman, Yufei W. Blankenship, Anders Walln, Hazhir Shokri-Razaghi |
| 2016 | VTC | On the Achievable Coverage and Uplink Capacity of Machine-Type Communications (MTC) in LTE Release 13. | Vidit Saxena, Anders Walln, Tuomas Tirronen, Hazhir Shokri-Razaghi, Johan Bergman, Yufei W. Blankenship |
| 2015 | VTC | Mitigating Pilot Contamination by Pilot Reuse and Power Control Schemes for Massive MIMO Systems. | Vidit Saxena, Gbor Fodor, Eleftherios Karipidis |