With the development of energy harvesting technologies and smart grid, the future trend of radio access networks will present a multi‐source power supply. In this article, joint renewable energy cooperation and resource allocation scheme of the fog radio access networks (F‐RANs) with hybrid power supplies (including both the conventional grid and renewable energy sources) is studied. In this article, our objective is to maximize the average throughput of F‐RAN architecture with hybrid energy sources while satisfying the constraints of signal to noise ratio (SNR), available bandwidth, and energy harvesting. To solve this problem, the dynamic power allocation scheme in the network is studied by using Q‐learning and Deep Q Network respectively. Simulation results show that the proposed two algorithms have low complexity and can improve the average throughput of the whole network compared with other traditional algorithms.
Aiming at the problem of huge energy consumption in the Fog Wireless
Access Networks (F-RANs), the resource allocation scheme of the F-RAN
architecture under the cooperation of renewable energy is studied in
this paper. Firstly, the transmission model and Energy Harvesting (EH)
model are established, the solar energy harvester is installed on each
Fog Access Point (F-AP), and each F-AP is connected to the smart grid.
Secondly, the optimization problem is established according to the
constraints of Signal to Noise Ratio (SNR), available bandwidth and
energy harvesting, so as to maximize the average throughput of F-RAN
architecture with hybrid energy sources. Finally, the dynamic power
allocation scheme in the network is studied by using Q-learning and Deep
Q Network (DQN) respectively. Simulation results show that the proposed
two algorithms can improve the average throughput of the whole network
compared with other traditional algorithms.
This cover image shows a downlink F‐RAN architecture. In terms of information transmission, F‐APs in the network are connected to the BBU pool through fronthaul links with limited capacity. In terms of energy consumption, F‐APs include solar panels and energy storage batteries, and are connected to the smart grid. The BBU pool contains all content files that may be requested by UEs. As a fog access node with caching capability, F‐APs can cache files with high popularity at the edge of the network. https://doi.org/10.1002/eng2.12497
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