现代电子技术2016，Vol.39Issue(23)：13-16,4.DOI:10.16652/j.issn.1004-373x.2016.23.004
基于Q学习异构网络干扰协调算法
Q-learning based interference coordination algorithm for heterogeneous network
摘要
Abstract
The heterogeneous network adopted by long⁃term evolution⁃advance(LTE⁃A)system can improve the user perfor⁃mance. The inter⁃cell interference(ICI)is generated and the user performance is influenced due to the shared frequency spec⁃trum among the inter⁃cells,so it is necessary to adopt the inter⁃cell interference coordination(IC)technology to control the ICI. Although the existing inter⁃cell interference coordination technology can reduce the ICI efficiently,but influence the Macro user performance greatly. To solve this problem,a Q⁃learning based enhance transmission power subframe(QL⁃ETPS)algorithm is pro⁃posed,which can reduce the ICI on the premise of ensuring the Macro user performance. The simulation results show that the per⁃formance of the proposed QL⁃ETPS algorithm is better than that of the conventional fixed ABS/RP⁃ABS configuration scheme,and can improve the throughput of the Pico base station edge user while ensuring the performance of Macro base station user.关键词
干扰协调/异构网络/Q学习算法/Macro-Pico/吞吐量Key words
interference coordination/heterogeneous network/Q-learning algorithm/Macro-Pico/throughput分类
信息技术与安全科学引用本文复制引用
钱进,郭士增,王孝..基于Q学习异构网络干扰协调算法[J].现代电子技术,2016,39(23):13-16,4.基金项目
国家科技重大专项资助项目 （）
