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- Title
Power allocation algorithm based on Q‐learning for two‐way relaying system with dual‐media parallel communication.
- Authors
Chen, Zhixiong; Yu, Miao; Zhang, Zhikun; Zeng, Honghai
- Abstract
There has been a growing interest in the cooperative communication of power line and wireless dual‐medium, due to the promising transmission quality and immense flexibility of the network. However, under the condition of hybrid fading and impulsive noise, the theoretical analysis of two‐way relaying communication with power line and wireless is difficult because of the lack of closed analytical expressions. In this study, the authors propose a relaying signal processing method based on Log Likelihood Ratio information estimation for two‐way relaying systems; and a power allocation optimisation algorithm based on Q‐learning, which can adaptively select the appropriate transmission power to maximise the mutual information. More precisely, the ϵ ${\epsilon}$‐greedy strategy is adopted for the estimated forwarding protocol and the transmission power of each node is adjusted to determine the optimal power allocation factor. The performances such as mutual information and outage probability are analysed and compared and the simulation shows that the algorithm is reliable and effective.
- Subjects
CARRIER transmission on electric lines; RADIO transmitter fading; MACHINE learning; POWER transmission; TWO-way communication; MATHEMATICAL optimization; ALGORITHMS
- Publication
IET Signal Processing (Wiley-Blackwell), 2023, Vol 17, Issue 2, p1
- ISSN
1751-9675
- Publication type
Article
- DOI
10.1049/sil2.12174