Mitigating Pilot Contamination by Pilot Reuse and Power Control Schemes for Massive MIMO Systems. - Vidit Saxena; Gábor Fodor 001; Eleftherios Karipidis (VTC Spring, 2015)

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 (GLOBECOM, 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 (VTC Fall, 2016)

A Learning Approach for Optimal Codebook Selection in Spatial Modulation Systems. - Vidit Saxena; Baptiste Cavarec; Joakim Jaldén; Mats Bengtsson; Hugo M. Tullberg (ACSSC, 2018)

Deep Learning for Frame Error Probability Prediction in BICM-OFDM Systems. - Vidit Saxena; Joakim Jaldén; Mats Bengtsson; Hugo M. Tullberg (ICASSP, 2018)

Spotnet-Learned Iterations For Cell Detection In Image-Based Immunoassays. - Pol del Aguila Pla; Vidit Saxena; Joakim Jaldén (ISBI, 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 (NetAI@SIGCOMM, 2019)

Constrained Thompson Sampling for Wireless Link Optimization. - Vidit Saxena; Joakim Jaldén; Joseph E. Gonzalez; Ion Stoica; Hugo M. Tullberg (CoRR, 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)

Thompson Sampling for Linearly Constrained Bandits. - Vidit Saxena; Joakim Jaldén; Joseph Gonzalez 001 (AISTATS, 2020)

Wireless link adaptation with outdated CSI - a hybrid data-driven and model-based approach. - Lissy Pellaco; Vidit Saxena; Mats Bengtsson; Joakim Jaldén (SPAWC, 2020)

Bayesian Link Adaptation under a BLER Target. - Vidit Saxena; Joakim Jaldén (SPAWC, 2020)

Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling. - Vidit Saxena; Hugo M. Tullberg; Joakim Jaldén (PIMRC, 2021)

QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning. - Jakob Stigenberg; Vidit Saxena; Soma Tayamon; Euhanna Ghadimi (PIMRC, 2021)

Machine Learning for Wireless Link Adaptation: Supervised and Reinforcement Learning Theory and Algorithms. - Vidit Saxena (2021)

Reinforcement Learning for Efficient and Tuning-Free Link Adaptation. - Vidit Saxena; Hugo M. Tullberg; Joakim Jaldén (IEEE Trans. Wirel. Commun., 2022)