Femtocell雙層網(wǎng)絡(luò)中基于Q-learning的子信道分配方案

楊秀清; 陳禹; 李正富

doi:10.11999/JEIT160453

Femtocell雙層網(wǎng)絡(luò)中基于Q-learning的子信道分配方案

doi: 10.11999/JEIT160453

1.
(北京電子科技職業(yè)學(xué)院電信工程學(xué)院北京 100176) ②(北京郵電大學(xué)信息與通信工程學(xué)院北京 100876)

基金項(xiàng)目:

北京市教育委員會(huì)科技計(jì)劃一般項(xiàng)目(KM201710858003)

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- 文章訪問數(shù): 994
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-05-03
- 修回日期: 2016-11-15
- 刊出日期: 2017-03-19

Subchannel Allocation Scheme for Two-tire Femtocell Networks Based on Q-learning

1.
(School of Telecommunication Engineering, Beijing Polytechnic, Beijing 100176, China)
2.
(School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing 100876, China)

Funds:

The Science and Technology Projects of Beijing Municipal Education Commission(KM201710858003)

摘要

摘要: 在Femtocell家庭基站(Femtocell Base Station, FBS)組成的異構(gòu)網(wǎng)絡(luò)中，為提升網(wǎng)絡(luò)的頻譜效率，F(xiàn)BS與Macrocell宏基站(Macrocell Base Station, MBS)一般要求是同頻部署，然而同頻部署會(huì)產(chǎn)生同信道干擾。為了實(shí)現(xiàn)FBS的大規(guī)模部署，降低網(wǎng)絡(luò)同信道干擾影響變得尤為重要。該文提出一種基于Q-learning的子信道分配方案，既保證大量部署的FBS不會(huì)對(duì)MBS帶來過高的跨層干擾，同時(shí)也降低了FBS之間的同層干擾。同時(shí)針對(duì)FBS稀疏部署和密集部署的場景，分別進(jìn)行了算法的仿真驗(yàn)證，其仿真結(jié)果表明該算法降低了干擾，驗(yàn)證了理論的正確性。
- Femtocell /
- 雙層網(wǎng)絡(luò) /
- Q-learning /
- 子信道分配
Abstract: In order to improve the spectrum efficiency in the Femtocell home Base Station (FBS) heterogeneous network, FBS and Macrocell Base Station (MBS) are usually deployed with the same frequency. However, the same frequency deployment will inevitably lead to larger co-channel interference. In order to achieve the large-scale deployment of FBS, reducing the interference of the network with the channel is particularly important. In this paper, a sub channel allocation scheme is propsed based on Q-learning. It can ensure that FBS will not bring high cross-layer interference of MBS, while it reduces the same layer interference between two FBS. The simulation of the algorithm of FBS sparse deployment and dense deployment situation are performed, respectively. Simulation results show that this algorithm reduces the same layer interference and verifies the correctness of the theory.
- Femtocell /
- Two-tire networks /
- Q-learning /
- Subchannel allocation

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參考文獻(xiàn)(23)

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