Title | ||
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Shallow Reinforcement Learning for Energy Harvesting Communications With Imperfect Channel Knowledge |
Abstract | ||
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This study aims to address the power allocation problem to maximize the sum of the generalized mutual information, which refers to the achievable rate with imperfect channel state information, through a reinforcement learning (RL) approach in energy harvesting communications. In contrast to the conventional deep RL applications, which incur a large computational load on the devices due to the use ... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/JSTSP.2021.3091842 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | DocType | Volume |
Resource management,Transmitters,Neural networks,Energy harvesting,Batteries,Mutual information,Computer architecture | Journal | 15 |
Issue | ISSN | Citations |
5 | 1932-4553 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Heasung Kim | 1 | 0 | 0.34 |
Jungwoo Lee | 2 | 1467 | 156.34 |
Wonjae Shin | 3 | 5 | 4.49 |
H. V. Poor | 4 | 25411 | 1951.66 |