|University / Institute||UTAR (Sg Long Campus)|
|Project Title||Deep Reinforcement Learning for Energy-Efficient Resource Allocation Optimization|
|Start Date||Feb 01, 2018|
|End Date||Jan 31, 2020|
|Nationality Requirements on Candidate(s)||Open to all nationalities|
Energy efficiency (EE) has become an important criterion for designing the next generation (5G) communication systems. Conventional energy-efficient resource allocation algorithms generally consider the overall EE problem as nonlinear fractional program. This project aims to address the complicated problems with the aid of deep reinforcement learning.Location
UTAR Sungai Long Campus, MalaysiaMonthly stipend
Up to RM 3,300 (Depending on Qualifications and Experience)
How to Apply?
GRA Vacancy for “Deep Reinforcement Learning for Energy-Efficient Resource Allocation Optimization” project
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