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1

AI/ML Optimized High-Order Modulations:

, In: ICC 2023 - IEEE International Conference on Communications,

Madadi, Pranav ; Cho, Joonyoung ; Zhang, Charlie Jianzhong. - p. 6373-6378 , 2023

Link: https://doi.org/10.1109/..

2

Abstract 1473: Modeling Binding of Beta-site Amyloid Precur..:

Dalal, Juhi ; Averineni, Shreya ; Madadi, Pranav..
Journal of Biological Chemistry. 299 (2023) 3 - p. 104026 , 2023

Link: https://doi.org/10.1016/..

3

Enhanced AI-Based CSI Prediction Solutions for Massive MIMO..:

Burghal, Daoud ; Li, Yang ; Madadi, Pranav...
IEEE Access. 11 (2023) - p. 117810-117825 , 2023

Link: https://doi.org/10.1109/..

4

Open-RAN and Future Intelligent Networks:

, In: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring),

Madadi, Pranav ; Lo, Caleb ; Jeon, Jeongho... - p. 1-7 , 2022

Link: https://doi.org/10.1109/..

5

PolarDenseNet: A Deep Learning Model for CSI Feedback in MI..:

, In: ICC 2022 - IEEE International Conference on Communications,

Madadi, Pranav ; Jeon, Jeongho ; Cho, Joonyoung... - p. 1294-1299 , 2022

Link: https://doi.org/10.1109/..

6

Mobility-Driven Association Policies for Dense Wireless Net..:

Madadi, Pranav ; Baccelli, François ; de Veciana, Gustavo
Journal of the Indian Institute of Science. 100 (2020) 2 - p. 349-368 , 2020

Link: https://doi.org/10.1007/..

7

Predicting Future CSI Feedback For Highly-Mobile Massive MI..:

Zhang, Yu ; Alkhateeb, Ahmed ; Madadi, Pranav...
http://arxiv.org/abs/2202.02492. , 2022

Link: http://arxiv.org/abs/220..

8

PolarDenseNet: A Deep Learning Model for CSI Feedback in MI..:

Madadi, Pranav ; Jeon, Jeongho ; Cho, Joonyoung...
http://arxiv.org/abs/2202.01246. , 2022

Link: http://arxiv.org/abs/220..

9

On Shared Rate Time Series for Mobile Users in Poisson Netw..:

Madadi, Pranav ; Baccelli, François ; de Veciana, Gustavo
http://arxiv.org/abs/1609.08845. , 2016

Link: http://arxiv.org/abs/160..

10

Enhanced AI-Based CSI Prediction Solutions for Massive MIMO..:

Daoud Burghal ; Yang Li ; Pranav Madadi...
https://ieeexplore.ieee.org/document/10286287/. , 2023

Link: https://doi.org/10.1109/..

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