1. Dynamic Resource Allocation for IRS Assisted Energy Harvesting Systems With Statistical Delay Constraint.
- Author
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Ahmed, Imtiaz, Yan, Su, Rawat, Danda B., and Pu, Cong
- Subjects
ENERGY harvesting ,RESOURCE allocation ,DATA transmission systems ,REINFORCEMENT learning ,MULTICASTING (Computer networks) ,WIRELESS sensor nodes ,DEEP learning ,RENEWABLE energy sources - Abstract
In this paper, we develop centralized and distributed dynamic resource allocation schemes for an intelligent reflecting surface (IRS) aided energy harvesting (EH) system that optimize transmit power of a source node and phase-shift of passive reflecting elements of IRS. The source node randomly harvests renewable energy from the surrounding environment and performs data transmission with the harvested energy while satisfying statistical packet delay constraints in terms of maximum acceptable delay-outage probability. Our developed schemes do not require the statistical distributions of channel and energy profiles to be known and apply deep reinforcement learning (DRL) algorithm. Simulation results demonstrate the effectiveness of the proposed resource control scheme for IRS-aided EH system in different channel and energy conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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