Research Article
5G Channel Forecasting and Power Allocation Based on LSTM Network and Cooperative Communication
@INPROCEEDINGS{10.1007/978-3-031-27041-3_9, author={Zhangliang Chen and Qilian Liang}, title={5G Channel Forecasting and Power Allocation Based on LSTM Network and Cooperative Communication}, proceedings={Wireless Internet. 15th EAI International Conference, WiCON 2022, Virtual Event, November 2022, Proceedings}, proceedings_a={WICON}, year={2023}, month={2}, keywords={LSTM 5G Channel forecasting Cooperative communication Power allocation}, doi={10.1007/978-3-031-27041-3_9} }- Zhangliang Chen
Qilian Liang
Year: 2023
5G Channel Forecasting and Power Allocation Based on LSTM Network and Cooperative Communication
WICON
Springer
DOI: 10.1007/978-3-031-27041-3_9
Abstract
In this paper, a forecasted channel system on the basis of Long-Short Term Memory (LSTM) neural network is devised to deal with the problem of gradient disappearance in the Recurrent Neural Network (RNN) specialized in dealing with time series problems. Then, the designed arithmetic is performed and the performances are compared with the real channel, and small Root Mean Square Error (RMSE) is obtained, which shows the high accuracy of the prediction. After that, based on the channel forecasted by using the LSTM network, the power allocation based on cooperative communication is derived, and compare the power results without cooperative communication. For the single-relay cooperative scenarios, a power allocation schema under the end goal to maximize the information transmission rate (ITR) at the destination node is proposed. The realization process of this scheme is constructing the information transmission rate function of the destination node under the condition of setting the total power transmitted is a fixed value by the node. When the ITR of the destination node is the maximum, the source node and relay node achieved the optimal transmission power values. Therefore, system performance is improved by optimizing power allocation method of the transmitting nodes. By comparing with other schemes, it is verified that the power allocation scheme proposed in this paper has better performance and saves system resources.
