WIP: Demand-Driven Power Allocation in Wireless Networks with Deep Q-Learning

A. Giannopoulos,S. Spantideas,N. Capsalis,P. Gkonis,P. Karkazis,L. Sarakis,P. Trakadas,C. Capsalis

2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)（2021）

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摘要

Power allocation is strongly related to the coverage and capacity of wireless networks, playing a critical role in the development of 5G networks. This paper proposes a Demand-Driven Power Allocation (DDPA) algorithm aiming to fulfill the requested throughput of individual users and accommodate their needs. DDPA is based on model-free Deep Reinforcement Learning (DRL) approaches and has the abilit...

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关键词

Transmitters,5G mobile communication,Wireless networks,Reinforcement learning,Throughput,Approximation algorithms,Resource management

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