Research Article
Power Allocation for Full Duplex Decode-and-Forward Cooperative Relay System
@INPROCEEDINGS{10.1007/978-3-319-90802-1_33, author={Shuai Han and Yi Zhang and Weixiao Meng and Ningqing Liu}, title={Power Allocation for Full Duplex Decode-and-Forward Cooperative Relay System}, proceedings={Wireless Internet. 10th International Conference, WiCON 2017, Tianjin, China, December 16-17, 2017, Proceedings}, proceedings_a={WICON}, year={2018}, month={5}, keywords={Full-duplex Power allocation Relay Genetic algorithm}, doi={10.1007/978-3-319-90802-1_33} }- Shuai Han
Yi Zhang
Weixiao Meng
Ningqing Liu
Year: 2018
Power Allocation for Full Duplex Decode-and-Forward Cooperative Relay System
WICON
Springer
DOI: 10.1007/978-3-319-90802-1_33
Abstract
The 5G communication system requires higher data rates and energy efficiency. Full-duplex (FD) communications can double the spectral efficiency in ideal conditions and in full-duplex relay systems the relay node works under full-duplex mode. There is a trade off between the signal and interference at the relay node because the transmitting signal of the node can be interference signal and desired signal in different links in the system, respectively. Proper power allocation can both suppress the residual self-interference for better performance and save power of the FD system. In this paper, we propose a power allocation approximation algorithm and a power allocation method based on genetic algorithm (GA) for a FD decode-and-forward (DF) cooperative relay system with residual self-interference. The end-to-end outage probability is chosen as the criterion of power allocation problem. Both the global power constraint and individual power constraint are investigated. The approximation algorithm shows great simplicity and has better performance with high SNR. For GA algorithm, numerical results show that the proposed power allocation scheme obviously improves the performance of the FD relay system with good convergence performance.
