Name
Abstract | ||
|---|---|---|
In this paper, reinforcement learning (RL) is applied to find effective decoding strategies for short polar codes. We first illustrate how to map the step-decision decoding to a Markov decision process. Then, we choose the signal reliability to formulate the reward strategy, and the path metrics are taken as the Q-values of the state-action pairs. Finally, an adaptive Q-table approach is proposed ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WCNCW49093.2021.9420004 | 2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) |
Keywords | DocType | ISSN |
Measurement,Adaptive systems,Simulation,Conferences,Reinforcement learning,Markov processes,Decoding | Conference | 2167-8189 |
ISBN | Citations | PageRank |
978-1-7281-9507-0 | 0 | 0.34 |
References | Authors | |
0 | 2 | |