Nandana Rajatheva

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University of Oulu

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

A deep learning (DL)-based power control algorithm that solves the max-m...
02/20/2021 ∙ by Nuwanthika Rajapaksha, et al. ∙ 0 ∙ share

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

Source traffic prediction is one of the main challenges of enabling pred...
01/12/2021 ∙ by Thulitha Senevirathna, et al. ∙ 0 ∙ share

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Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements

Ultra-reliable and low-latency communications (URLLC) play a vital role ...
03/04/2020 ∙ by Nalin Jayaweera, et al. ∙ 0 ∙ share

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Partially Permuted Multi-Trellis Belief Propagation for Polar Codes

Belief propagation (BP) is an iterative decoding algorithm for polar cod...
11/20/2019 ∙ by Vismika Ranasinghe, et al. ∙ 0 ∙ share

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

End-to-end learning of a communications system using the deep learning-b...
11/19/2019 ∙ by Nuwanthika Rajapaksha, et al. ∙ 0 ∙ share

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High Reliability Downlink MU-MIMO: New OSTBC Approach and Superposition Modulated Side Information

In this paper, a proposal to improve the reliability of a downlink multi...
11/13/2019 ∙ by Nora Boulaioune, et al. ∙ 0 ∙ share

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Low Latency Decoder for Short Blocklength Polar Codes

Polar codes have been gaining a lot of interest due to it being the firs...
11/08/2019 ∙ by Heshani Gamage, et al. ∙ 0 ∙ share

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Block Error Performance of NOMA with HARQ-CC in Finite Blocklength

This paper investigates the performance of a two-user downlink non-ortho...
10/30/2019 ∙ by Dileepa Marasinghe, et al. ∙ 0 ∙ share

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Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems

In this paper, a novel approach based on the concept of opportunistic sp...
05/23/2019 ∙ by Samad Ali, et al. ∙ 0 ∙ share

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Network Slicing with Mobile Edge Computing for Micro-Operator Networks in Beyond 5G

We model the scenarios of network slicing allocation for the micro-opera...
11/01/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications

Scheduling fast uplink grant transmissions for machine type communicatio...
10/30/2018 ∙ by Samad Ali, et al. ∙ 0 ∙ share

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Edge Caching for Cache Intensity under Probabilistic Delay Constraint

In order to reduce the latency of data delivery, one of techniques is to...
08/28/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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On Spectrum Sharing Among Micro-Operators in 5G

The growing demand in indoor small cell networks has given rise to the c...
08/28/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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Resource Allocation for Co-Primary Spectrum Sharing in MIMO Networks

We study co-primary spectrum sharing concept in two small cell multiuser...
08/28/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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Multi-operator spectrum sharing using matching game in small cells network

In this paper, we study a problem where multiple operators (OPs) need to...
08/27/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction

Burst of transmissions stemming from event-driven traffic in machine typ...
08/27/2018 ∙ by Samad Ali, et al. ∙ 0 ∙ share

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

The current autonomous driving architecture places a heavy burden in sig...
08/26/2018 ∙ by Nalin Jayaweera, et al. ∙ 0 ∙ share

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Edge Caching in Delay-Constrained Virtualized Cellular Networks: Analysis and Market

Caching of popular contents at cellular base stations, i.e., edge cachin...
02/13/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities

The notion of a fast uplink grant is emerging as a promising solution fo...
01/15/2018 ∙ by Samad Ali, et al. ∙ 0 ∙ share

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