Smart Joint Scheduling and Resource Management Guaranteeing Information Freshness with Proactive Energy Harvesting in D2D Networks

Citation Author(s):
Parisa
Parhizgar
IUT
Submitted by:
Parisa Parhizgar
Last updated:
Sat, 01/27/2024 - 07:15
DOI:
10.21227/xrxr-6b13
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Abstract 

we evaluate resource management in device-to-device (D2D) networks that can coexist with mobile cellular user equipments (CUEs). Moreover, a new smart model for joint scheduling and resource management for D2D networks is presented. In this regard, aiming to guarantee the freshness of information, which is equivalent to minimizing the average age of information (AoI), and to utilize energy harvesting (EH) technology to address energy requirement for D2D network, we formulate an online optimization problem with quality of service (QoS) of CUEs and D2Ds, available power, freshness of information, and environmental requirement constraints. Since the proposed optimization problem belongs to mix-integer nonlinear problems, and it is online, we adopt a deep reinforcement learning (DRL) based solution to solve it efficiently.

Instructions: 

We used Soft Actor Critic and Deep Deterministic Policy Gradient methods.

Comments

for communication researchers and engineers it is important to to access this dataset for understanding the D2D communication and energy harvesting

Submitted by Hasan Khan on Thu, 02/15/2024 - 11:53