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About Deep Reinforcement Learning For Intelligent Reflec
1) The document proposes a deep reinforcement learning approach to optimize the sum-rate of an intelligent reflecting surface-assisted device-to-device communication network. 2) It formulates a Markov decision process to jointly optimize the transmit power of device-to-device transmitters and the phase shift matrix of the intelligent reflecting surface. 3) A deep reinforcement learning algorithm called proximal policy optimization is used to find the optimal policy that maximizes the network sum-rate.
Detailed Information
| Author: | ['Sreekrishna Das'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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