Nandana Rajatheva

University of Oulu

Finland

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Articles (16)

Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss

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Year:

2024

Minimizing Energy Consumption in Cell-Free Massive MIMO Networks

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Year:

2024

Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks With Asymmetric Loss

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Year:

2024

Optimization of Delayed Bit-interleaved Coded Modulation in the High-SNR Regime

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Year:

2024

Unrolled, Pipelined, and Stage-Folded Architectures for Encoding of Multi-Kernel Polar Codes

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Year:

2024

Waveform Learning under Phase Noise Impairment for Sub-THz Communications

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Year:

2024

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G

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Year:

2023

Environment-Aware Joint Active/Passive Beamforming for RIS-Aided Communications Leveraging Channel Knowledge Map

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Year:

2023

Permutation Matrix Modulation

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Year:

2023

Unsupervised Learning-Based Joint Power Control and Fronthaul Capacity Allocation in Cell-Free Massive MIMO With Hardware Impairments

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Year:

2023

Deep Learning-Based Blind Multiple User Detection for Grant-Free SCMA and MUSA Systems

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Year:

2023

High-Throughput Rate-Flexible Combinational Decoders for Multi-Kernel Polar Codes

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Year:

2023

Joint Active-Passive Beamforming and User Association in IRS-Assisted mmWave Cellular Networks

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Year:

2023

Wireless End-to-End Image Transmission System Using Semantic Communications

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Year:

2023

Low-Latency Multi-Kernel Polar Decoders

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Year:

2022

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

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Year:

2021

Collaborators (5)

Matti Latva-aho

University of Oulu

FINLAND

Mai Vu

Tufts University

UNITED STATES

Samad Ali

University of Oulu

FINLAND

Thorsten Wild

Nokia Bell Labs

GERMANY

Alessandro Renda

University of Pisa

ITALY

Nandana Rajatheva

Research Interests

Explore related searches

Contact this professor

Articles (16)

Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss

Minimizing Energy Consumption in Cell-Free Massive MIMO Networks

Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks With Asymmetric Loss

Optimization of Delayed Bit-interleaved Coded Modulation in the High-SNR Regime

Unrolled, Pipelined, and Stage-Folded Architectures for Encoding of Multi-Kernel Polar Codes

Waveform Learning under Phase Noise Impairment for Sub-THz Communications

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G

Environment-Aware Joint Active/Passive Beamforming for RIS-Aided Communications Leveraging Channel Knowledge Map

Permutation Matrix Modulation

Unsupervised Learning-Based Joint Power Control and Fronthaul Capacity Allocation in Cell-Free Massive MIMO With Hardware Impairments

Deep Learning-Based Blind Multiple User Detection for Grant-Free SCMA and MUSA Systems

High-Throughput Rate-Flexible Combinational Decoders for Multi-Kernel Polar Codes

Joint Active-Passive Beamforming and User Association in IRS-Assisted mmWave Cellular Networks

Wireless End-to-End Image Transmission System Using Semantic Communications

Low-Latency Multi-Kernel Polar Decoders

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

Collaborators (5)

Matti Latva-aho

Mai Vu

Samad Ali

Thorsten Wild

Alessandro Renda

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