Vidit Saxena

According to our database, Vidit Saxena authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Reinforcement Learning for Efficient and Tuning-Free Link Adaptation.

Vidit Saxena, Hugo M. Tullberg, Joakim Jaldén

IEEE Trans. Wirel. Commun., 2022

2021

Machine Learning for Wireless Link Adaptation: Supervised and Reinforcement Learning Theory and Algorithms.

Vidit Saxena

PhD thesis, 2021

QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning.

Jakob Stigenberg, Vidit Saxena, Soma Tayamon, Euhanna Ghadimi

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling.

Vidit Saxena, Hugo M. Tullberg, Joakim Jaldén

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

2020

Bayesian Link Adaptation under a BLER Target.

Vidit Saxena, Joakim Jaldén

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Wireless link adaptation with outdated CSI - a hybrid data-driven and model-based approach.

Lissy Pellaco, Vidit Saxena, Mats Bengtsson, Joakim Jaldén

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Thompson Sampling for Linearly Constrained Bandits.

Vidit Saxena, Joakim Jaldén, Joseph Gonzalez

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Optimal UAV Base Station Trajectories Using Flow-Level Models for Reinforcement Learning.

Vidit Saxena, Joakim Jaldén, Henrik Klessig

IEEE Trans. Cogn. Commun. Netw., 2019

Constrained Thompson Sampling for Wireless Link Optimization.

Vidit Saxena, Joakim Jaldén, Joseph E. Gonzalez, Ion Stoica, Hugo M. Tullberg

CoRR, 2019

Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks.

Vidit Saxena, Joakim Jaldén, Joseph E. Gonzalez, Mats Bengtsson, Hugo M. Tullberg, Ion Stoica

Proceedings of the 2019 Workshop on Network Meets AI & ML, 2019

Spotnet-Learned Iterations For Cell Detection In Image-Based Immunoassays.

Pol del Aguila Pla, Vidit Saxena, Joakim Jaldén

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Deep Learning for Frame Error Probability Prediction in BICM-OFDM Systems.

Vidit Saxena, Joakim Jaldén, Mats Bengtsson, Hugo M. Tullberg

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Learning Approach for Optimal Codebook Selection in Spatial Modulation Systems.

Vidit Saxena, Baptiste Cavarec, Joakim Jaldén, Mats Bengtsson, Hugo M. Tullberg

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2016

On the Achievable Coverage and Uplink Capacity of Machine-Type Communications (MTC) in LTE Release 13.

Vidit Saxena, Anders Wallén, Tuomas Tirronen, Hazhir Shokri-Razaghi, Johan Bergman, Yufei W. Blankenship

Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

Reducing the Modem Complexity and Achieving Deep Coverage in LTE for Machine-Type Communications.

Vidit Saxena, Johan Bergman, Yufei W. Blankenship, Anders Wallén, Hazhir Shokri-Razaghi

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

Mitigating Pilot Contamination by Pilot Reuse and Power Control Schemes for Massive MIMO Systems.

Vidit Saxena, Gábor Fodor, Eleftherios Karipidis

Proceedings of the IEEE 81st Vehicular Technology Conference, 2015