Search Results for author: Nuwanthika Rajapaksha

Found 4 papers, 0 papers with code

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

no code implementations8 Jun 2023 Nuwanthika Rajapaksha, Jafar Mohammadi, Stefan Wesemann, Thorsten Wild, Nandana Rajatheva

In this paper, we consider the downlink transmission of an MU-MIMO network where TAM is formulated to minimize the number of active antennas in the BS while guaranteeing the per-user throughput requirements.

Classification Combinatorial Optimization

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

no code implementations20 Feb 2021 Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho

Specifically, we model a deep neural network (DNN) and train it in an unsupervised manner to learn the optimum user power allocations which maximize the minimum user rate.


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

no code implementations19 Nov 2019 Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho

The newly proposed low complexity autoencoder was capable of achieving a better BER performance than half-rate 16-QAM with hard decision decoding over the full 0-10 dB $E_{b}/N_{0}$ range and a better BER performance than the soft decision decoding in 0-4 dB $E_{b}/N_{0}$ range.

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