非授权频带上两层小型蜂窝网络的容量卸载:分层学习框架

Youming Sun, Hongxiang Shao, Junfei Qiu, Jian Zhang, Fenggang Sun, S. Feng
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引用次数: 4

摘要

本文研究了两层双模小蜂窝网络在非授权频带上的容量卸载问题。我们将这个问题表述为Stackelberg博弈。具体来说,宏基站(MBS)被建模为leader,小基站(SBSs)被建模为follower。MBS采用流量定价机制,首先向所有SBS广播价格信息,然后考虑到MBS在许可频带中收取的流量支付,每个SBS在后续中通过适当的功率分配来分配许可频带和未许可频带的流量负载。然后,我们提出了两种基于q -学习算法的分层学习方案。仿真结果表明了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacity offloading in two-tier small cell networks over unlicensed band: A hierarchical learning framework
In this paper, we investigate the capacity offloading over unlicensed band for two-tier dual-mode small cell networks. We formulate this problem as a Stackelberg game. Specifically, the macro base station (MBS) is modeled as leader and small base stations (SBSs) are followers. MBS adopts a traffic flow pricing mechanism and broadcasts the price information to all SBSs firstly, then each SBS allocates the traffic load in licensed and unlicensed band via appropriate power allocation in the sequel, considering the traffic flow payment charged by MBS in licensed band. Then, we propose two hierarchical learning schemes based on Q-learning algorithm. Simulation results show the effectiveness of the proposed schemes.
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