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Picture for Nandana Rajatheva

Permutation Matrix Modulation


Dec 27, 2021
Rahmat Faddli Siregar, Nandana Rajatheva, Matti Latva-Aho

* The manuscript is submitted to IEEE for possible publication 

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LiDAR Aided Human Blockage Prediction for 6G


Oct 01, 2021
Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho

* To be published in IEEE Globecom 2021 Workshops 

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A Low Complexity Learning-based Channel Estimation for OFDM Systems with Online Training


Jul 14, 2021
Kai Mei, Jun Liu, Xiaoying Zhang, Kuo Cao, Nandana Rajatheva, Jibo Wei

* 12 pages, 12 figures. To appear in IEEE Transactions on Communications 

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Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairments


Jul 13, 2021
Nipuni Ginige, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho


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Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access


Jun 21, 2021
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-Aho

* Accepted for 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)-Workshop 

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Deep Learning-Based Active User Detection for Grant-free SCMA Systems


Jun 21, 2021
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-Aho

* Accepted for 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 

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Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks


Mar 17, 2021
Insaf Ismath, Samad Ali, Nandana Rajatheva, Matti Latva-aho

* Submitted to IEEE Wireless Communication Letters 

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Elevated LiDAR based Sensing for 6G -- 3D Maps with cm Level Accuracy


Feb 22, 2021
Madhushanka Padmal, Dileepa Marasinghe, Vijitha Isuru, Nalin Jayaweera, Samad Ali, Nandana Rajatheva

* Submitted to EuCNC 2021 

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Deep Learning-based Power Control for Cell-Free Massive MIMO Networks


Feb 20, 2021
Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho

* Accepted for IEEE ICC 2021 

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Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks


Jan 12, 2021
Thulitha Senevirathna, Bathiya Thennakoon, Tharindu Sankalpa, Chatura Seneviratne, Samad Ali, Nandana Rajatheva

* 6 pages, 6 figures, IEEE Global Communications Conference 2020, https://globecom2020.ieee-globecom.org/program/symposia-tuesday 

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Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems


Nov 19, 2019
Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho

* 6 pages. Submitted to IEEE WCNC 2020 

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Autonomous Driving without a Burden: View from Outside with Elevated LiDAR


Oct 31, 2018
Nalin Jayaweera, Nandana Rajatheva, Matti Latva-aho


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