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- 2022
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Mark
Deep-Learning Based Channel Estimation for OFDM Wireless Communications
2022)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Sequential Detection and Estimation of MultipathChannel Parameters Using Belief Propagation
2022)(
- Working paper/Preprint › Preprint in preprint archive
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Mark
The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges
2022) 1st International Conference on 6G Networking (6GNet 2022)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Urban Navigation with LTE using a Large Antenna Array and Machine Learning
2022) IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
LTE NLOS Navigation and Channel Characterization
2022) 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) p.2398-2408(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Experimental Validation of Single Base Station 5G mm Wave Positioning : Initial Findings
2022) 25th International Conference on Information Fusion, FUSION 2022 In 2022 25th International Conference on Information Fusion, FUSION 2022(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Mark
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
(
- Contribution to journal › Article
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Mark
Sensing and Classification Using Massive MIMO : A Tensor Decomposition-Based Approach
(
- Contribution to journal › Article
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Mark
Antenna Designs for a Milimeter Wave Massive MIMO Testbed with Hybrid Beamforming
2021) 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 p.1241-1242(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility
2021) IEEE International Workshop on Machine Learning for Signal Processing (MLSP)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding