超密集小峰窩網(wǎng)中基于干擾協(xié)調(diào)的小區(qū)分簇和功率分配算法

朱曉榮; 朱蔚然

doi:10.11999/JEIT150756

超密集小峰窩網(wǎng)中基于干擾協(xié)調(diào)的小區(qū)分簇和功率分配算法

doi: 10.11999/JEIT150756

朱曉榮¹,
朱蔚然²

2.
(南京郵電大學(xué)通信與信息工程學(xué)院南京 210003) ②(東南大學(xué)移動(dòng)通信國(guó)家重點(diǎn)實(shí)驗(yàn)室南京 210003)

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61372125)，973計(jì)劃(2013CB329104)，國(guó)家863計(jì)劃(2015AA01A705)，東南大學(xué)移動(dòng)通信國(guó)家重點(diǎn)實(shí)驗(yàn)室開放研究基金(2013D01)

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出版歷程
- 收稿日期: 2015-06-24
- 修回日期: 2016-03-03
- 刊出日期: 2016-05-19

Interference Coordination-based Cell Clustering and Power Allocation Algorithm in Dense Small Cell Networks

ZHU Xiaorong¹,
ZHU Weiran²

2.
(College of Telecommunications &

Funds:

The National Natural Science Foundation of China (61372125), The National 973 Project of China (2013CB 329104), The National 863 Project of China (2015AA01A705), The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (2013D01)

摘要

摘要: 干擾的有效管理是超密集小蜂窩網(wǎng)中的一個(gè)研究難點(diǎn)。該文提出將超密集小蜂窩網(wǎng)中的小區(qū)干擾協(xié)調(diào)和分簇相結(jié)合的算法，通過(guò)分配最優(yōu)的功率降低干擾，最大化系統(tǒng)吞吐量。根據(jù)干擾的程度，將干擾強(qiáng)的小蜂窩劃為一個(gè)簇，同一個(gè)簇內(nèi)的小蜂窩共享頻譜資源，協(xié)作為用戶服務(wù)，簇與簇之間實(shí)現(xiàn)頻譜復(fù)用。仿真結(jié)果表明，該算法在網(wǎng)絡(luò)密集部署時(shí)，有效地減小干擾，提高系統(tǒng)吞吐量。
- 超密集網(wǎng)絡(luò) /
- 分簇 /
- 功率分配 /
- 干擾管理
Abstract: Effective interference management is one of research difficulties in dense small cell network. This paper proposes a new algorithm in which inter-cell interference is combined with clustering. And the system achieves maximizing system throughput by the optimal power allocation. According to the degree of interference, the cells are divided into several clusters and the cells with the bigger inter-cell interference are divided in the same cluster. The cells within a cluster share the spectrum and serve the user terminals with cooperation and the cells within different clusters may reuse the spectrum. Simulation results show that the proposed algorithm can effectively decrease the interference and improve system throughput in densely deployed small networks.
- Dense small cell network /
- Clustering /
- Power allocation /
- Interference management

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參考文獻(xiàn)(19)

3GPP RP-090536, New SI proposal: LTE heterogeneous network deployments[S]. Qualcomm, Nokia, NSN, 2009.

ABDELNASSER A, HOSSAIN E, and DONG I K. Clustering and resource allocation for dense femtocells in a two-tier cellular OFDMA network[J]. IEEE Transactions on Wireless Communications, 2014, 13(3): 1628-1641.

CHENG Qin and TIAN Hui. A greedy dynamic clustering algorithm of joint transmission in dense small cell deployment [C]. The 11th IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, 2014: 629-634.

LI Wei, ZHENG Wei, WEN X, et al. Dynamic clustering based sub-band allocation in dense femtocell environments[C]. IEEE Vehicular Technology Conference. Yokohama, 2012, 1-5.

MUMTAZ S, SAIDUL HUQ K M, and RODRIGUEZ J. Coordinated paradigm for D2D communications[C]. 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, 2014: 718-723.

SUN Y F, JIANG Jing, and HU Liujun. Joint transmission coordinated multi-Point transmission and reception systems [J]. ZTE Communications, 2010, 8(1): 1-5.

BOTTAI C, CICCONETTI C, MORELLI A, et al. Energy- efficient user association in extremely dense small cell networks[C]. European Conference on Networks and Communications (EuCNC), Bologna, 2014: 1-5.

ZONG Y, XU G, JIU P, et al. A projective clustering algorithm based on significant local dense areas[C]. The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, QLD, 2012: 1-8.

KANG X, ZHANG R, and MONTANI M. Price-based resource allocation for spectrum-sharing femtocell networks: a Stackelberg game approach[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(3): 538-549.

李林, 洪佩琳, 薛開平, 等. 基于小區(qū)覆蓋增強(qiáng)技術(shù)的Macro-Pico異構(gòu)網(wǎng)絡(luò)上行干擾識(shí)別與干擾協(xié)調(diào)機(jī)制[J]. 電子與信息

學(xué)報(bào), 2012, 34(12): 2823-2829. doi: 10.3724/SP.J.1146.2012. 00744.

LI Lin, HONG Peilin, XUE Kaiping, et al. Uplink interference identification and coordination scheme based on range expansion in macro-pico heterogeneous networks[J]. Journal of Electronics Information Technology, 2012, 34(12): 2823-2829. doi: 10.3724/SP.J.1146.2012.00744.

ABDELNASSER A, HOSSAIN E, and KIM D I. Clustering and resource allocation for dense femtocell in a two-tier cellular OFDMA network[J]. IEEE Transactions on Wireless Communications, 2014, 13(3): 1628-1641.

凌為, 韓圣千, 徐志昆, 等. 異構(gòu)網(wǎng)中宏、微基站間存在頻偏時(shí)的干擾協(xié)調(diào)方法[J]. 電子與信息學(xué)報(bào), 2012, 34(3): 670-676. doi: 10.3724/SP.J.1146.2011.00515.

LING Wei, HAN Shengqian, XU Zhikun, et al. Interference coordination with frequency offset between macro and micro base station in heterogeneous networks[J]. Journal of Electronics Information Technology, 2012, 34(3): 670-676. doi: 10.3724/SP.J.1146.2011.00515.

HA V N and LE L B. Fair Resource allocation for OFDMA femtocell networks with macrocell protection[J]. IEEE Transactions on Vehicular Technology, 2014, 63(3): 388-1401.

XIE R, YU F R, JI H, et al. Energy-efficient resource allocation for heterogeneous cognitive radio networks with femtocells[J]. IEEE Transactions on Wireless Communications, 2012, 1(11): 3910-3920.

LOPEZ-PEREZ D, CHU X, VASILAKOS A V, et al. Power minimization based resource allocation for interference mitigation in OFDMA femtocell networks[J]. IEEE Journal on Selected Areas in Communications, 2014, 32(2): 333-344.

解可新, 韓健, 林友聯(lián). 最優(yōu)化方法[M]. 天津: 天津大學(xué)出版社: 125-135.

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