Research Article
Research on Spectrum Allocation Strategy Based on Stackelberg Game in Ultra Dense Network
@INPROCEEDINGS{10.1007/978-3-030-66785-6_4, author={Han Zhihao and Zhao Donglai and Wang Gang}, title={Research on Spectrum Allocation Strategy Based on Stackelberg Game in Ultra Dense Network}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={Ultra dense network Game theory Spectrum allocation Nash equilibrium Clustering}, doi={10.1007/978-3-030-66785-6_4} }- Han Zhihao
Zhao Donglai
Wang Gang
Year: 2021
Research on Spectrum Allocation Strategy Based on Stackelberg Game in Ultra Dense Network
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_4
Abstract
As one of the key technologies of 5G, ultra dense network (UDN), densely distributed small base stations has brought about an increase in system capacity and transmission rate, and has become a research hotspot in recent years. In order to compensate for the severe co-layer and cross-layer interference caused by UDN, clustering small cells first and Stackelberg game is applied to spectrum allocation, and the Nash equilibrium is solved to obtain a spectrum allocation strategy with less interference. The performance of spectrum allocation algorithm based on Stackelberg game (SASG) is simulated and the simulation results verify the performance of SASG, showing that SASG can effectively improve the system throughput under limited spectrum resources.
