most citedDeep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.NI2022★ 2 cited

Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems

Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu

This paper presents a deep reinforcement learning (DRL) solution for power control in wireless communications, describes its embedded implementation with WiFi transceivers for a Wi…