2022
DOI: 10.4108/eetinis.v9i31.1059
|View full text |Cite
|
Sign up to set email alerts
|

DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks

Abstract: Interference has always been the main threat to the performance of traditional WiFi networks and next-generation moving forward. The problem can be solved with transmit power control(TPC). However, to accomplish this, an information-gathering process is required. But this brings overhead concerns that decrease the throughput. Moreover, mitigation of interference relies on the selection of transmit powers. In other words, the control scheme should select the optimum configuration relative to other possibilities… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
references
References 14 publications
0
0
0
Order By: Relevance