Sep 9, 2019 · In this paper, we consider optimizing energy consumption of periodical data collection in a self-powered IoT network with non-orthogonal multiple access (NOMA).
This paper considers optimizing energy consumption of periodical data collection in a self‐powered IoT network with non‐orthogonal multiple access (NOMA) ...
In this paper, we consider optimizing energy consumption of periodical data collection in a self‐powered IoT network with non‐orthogonal multiple access (NOMA).
TL;DR: This paper considers optimizing energy consumption of periodical data collection in a self‐powered IoT network with non‐orthogonal multiple access ...
Adaptive power control is incorporated to effectively use the harvested energy for efficient data communications. Generally, adaptive time allocation and power ...
The main advantage of data optimization is the reduction in the energy consumption. To support this non-orthogonal multiple access systems are popularly being ...
In the proposed optimization problem, EE is optimized by determining the time switching factor assignment, bandwidth allocation, and power allocation. Minimum ...
Energy consumption optimization for self‐powered IoT networks with non‐orthogonal multiple access · Engineering, Computer Science. Int. J. Commun. Syst. · 2020.
Non-orthogonal multiple access (NOMA) technology for 5G can provide many connections and effectively improve the frequency spectrum and energy efficiency ...
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In this paper, we propose the optimal power allocation to achieve it based on deep reinforcement learning (DRL). Simulations have demonstrated that the optimal ...