Muhammad Anjum Qureshi

According to our database, Muhammad Anjum Qureshi authored at least 12 papers between 2017 and 2023.

Collaborative distances:

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

2023

Reinforcement Learning for Link Adaptation and Channel Selection in LEO Satellite Cognitive Communications.

Muhammad Anjum Qureshi, Eva Lagunas, Georges Kaddoum

IEEE Commun. Lett., March, 2023

2021

Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits.

Muhammad Anjum Qureshi, Andi Nika, Cem Tekin

IEEE Trans. Commun., 2021

Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum.

Alireza Javanmardi, Muhammad Anjum Qureshi, Cem Tekin

IEEE Trans. Commun., 2021

Prediction, Classification and Recommendation in e-Health via Contextual Partitioning.

Muhammad Anjum Qureshi

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020

Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks.

Muhammad Anjum Qureshi, Cem Tekin

IEEE Trans. Cogn. Commun. Netw., 2020

Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints.

Muhammad Anjum Qureshi, Cem Tekin

IEEE Commun. Lett., 2020

Dynamic Rate Allocation in Cognitive Radio Networks using Global Bandits.

Muhammad Anjum Qureshi

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks.

Muhammad Anjum Qureshi, Cem Tekin

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2018

Online cross-layer learning in heterogeneous cognitive radio networks without CSI.

Muhammad Anjum Qureshi, Cem Tekin

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Online optimization of wireless sensors selection over an unknown stochastic environment.

Muhammad Anjum Qureshi, Wardah Sarmad, Hira Noor, Ali Hassan Mirza

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017

Expert advice ensemble for thyroid disease diagnosis.

Muhammad Anjum Qureshi, Kubilay Eksioglu

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Online classification with contextual exponential weights for disease diagnostics.

Kubilay Eksioglu, Muhammad Anjum Qureshi, Cem Tekin

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017