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  Massive MIMO technology for next generation of wireless networks 

  SABETI, PARNA (Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)

  Large scale antenna or massive multiple input multiple output (MIMO) systems are one of the key enabling technologies for fifth generation (5G) of wireless communications networks and beyond. This technology offers huge ...
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  Enabling Adaptable Future Networks: Trade-Offs and Resource Allocation Problems 

  SEXTON, CONOR (Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)

  In this thesis, we illuminate the various trade-offs arising from the trend towards customisable networks, and propose resource allocation procedures to balance these trade-offs and facilitate the necessary coexistence of ...
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  Taking advantage of correlated information for energy-aware scheduling in the IoT: A deep reinforcement learning approach 

  HRIBAR, JERNEJ (Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)

  Millions of battery-powered sensors deployed for monitoring purposes in a multitude of scenarios, e.g., agriculture, smart cities, industry, etc., require energy-efficient solutions to prolong their lifetime. When these ...
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  Investigating cortical encoding of auditory space & motion in humans using EEG 

  BEDNAR, ADAM (Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)

  This work uses a novel linear regression-based framework together with scalp recorded electroencephalography (EEG) to study various aspects of spatial hearing in humans. In our first study, we showed that in an acoustic ...
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  Investigating the Neural Correlates of Speech Processing & Selective Auditory Attention using EEG 

  TEOH, EMILY SIEW (Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)

  Speech comprehension is a remarkable human ability. Most normal-hearing people are adept at attending to a speech stream even amidst a noisy multi-talker background and parsing the layers of information it contains in ...

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