基于迭代联合传输的超密集网络动态干扰协调方案

doi:10.11959/j.issn.1000-436x.2020032

Abstract

Abstract:

In consideration of the rapidly increasing number of cells and users in the ultra-dense network,how to realize dynamic interference coordination by selecting the appropriate joint transmission users was studied,so as to improve the spectral efficiency of the edge users.All users were classified by dynamic coordination cluster division and dynamic joint-muting transmission.The iterative optimization algorithm was used to further improve the system performance and solve the problem of selecting the number of joint transmission users.The simulation results prove that compared with the conventional CoMP JT scheme,the proposed scheme has significant performance gains in the cell edge spectral efficiency without reducing the cell average spectral efficiency.

Key words: 5G, ultra dense network, interference coordination, dynamic coordination cluster division, dynamic joint-muting transmission

CLC Number:

TN929.5

Xiaona LI,Zhongfang WANG,Qian CHENG,Jingwen FU,Shunliang ZHANG. Dynamic interference coordination scheme based on the iterative joint transmission in ultra dense network[J]. Journal on Communications, 2020, 41(2): 176-186.

Figures/Tables 14

References 23

[1]	ERICSSON. Ericsson mobility report,No.EAB-15:010920[R].(2015-02)[2020-01-09].
[2]	ELAYOUBI S E , HADDADA O B , FOURESTIE B . Performance evaluation of frequency planning schemes in OFDMA-based networks[J]. IEEE Transactions on Wireless Communications, 2008,7(5): 1623-1633.
[3]	YANG X . Soft frequency reuse scheme for UTRAN LTE[R]. Huawei,R1-050507,3GPP RAN1 41#(2005-05-09)[2020-01-09].
[4]	DAMNJANOVIC A , MONTOJO J , WEI Y ,et al. A survey on 3GPP heterogeneous networks[J]. IEEE Wireless Communications, 2011,18(3): 10-21.
[5]	EZZAOUIA M , GUEGUEN C , YASSIN M ,et al. Autonomous and dynamic inter-cell interference coordination techniques for future wireless networks[C]// IEEE International Conference on Wireless and Mobile Computing,Networking and Communications (WiMob). IEEE, 2017: 1-8.
[6]	SONG Q , WANG X , QIU T ,et al. An interference coordination-based distributed resource allocation scheme in heterogeneous cellular networks[J]. IEEE Access, 2017,5: 2152-2162.
[7]	SHGLUOF I , ISMAIL M , NORDIN R . Semi-clustering of victim-cells approach for interference management in ultra-dense femtocell networks[J]. IEEE Access, 2017,5: 9032-9043.
[8]	XIAO J , YANG C , ANPALAGAN A ,et al. Joint interference management in ultra-dense small cell networks:a multi-domain coordination perspective[J]. IEEE Transactions on Communications, 2018,66(11): 5470-5481.
[9]	NADERIALIZADEH N , NIKOPOUR H , ORHAN O ,et al. Feedback-based interference management in ultra-dense networks via parallel dynamic cell selection and link scheduling[C]// IEEE International Conference on Communications (ICC). IEEE, 2018: 1-6.
[10]	GARCIA V , ZHOU Y , SHI J . Coordinated multipoint transmission in dense cellular networks with user-centric adaptive clustering[J]. IEEE Transactions on Wireless Communications, 2014,13(8): 4297-4308.
[11]	WU J , ZENG J , SU X ,et al. Joint CoMP and power allocation in ultra dense networks[C]// Wireless Telecommunications Symposium (WTS). IEEE, 2017: 1-5.
[12]	LIU L , ZHOU Y , ZHUANG W ,et al. Tractable coverage analysis for hexagonal macrocell-based heterogeneous UDNs with adaptive interference-aware CoMP[J]. IEEE Transactions on Wireless Communications, 2019,18(1): 503-517.
[13]	CHEN Y , CHAO H , WU S ,et al. Resource allocation with CoMP transmission in ultra dense cloud-based LTE small cell networks[C]// IEEE 28th Annual International Symposium on Personal,Indoor,and Mobile Radio Communications (PIMRC). IEEE, 2017: 1-5.
[14]	BARBIERI A , GAAL P , GEIRHOFER S ,et al. Coordinated downlink multipoint communications in heterogeneous cellular networks[C]// IEEE Information Theory and Applications Workshop. IEEE, 2012: 7-16.
[15]	3GPP TS 36.213.Physical layer procedures:V12.5.0[S]. 2015:
[16]	3GPP TS 36.872.Small cell enhancements for E-UTRA and E-UTRAN - Physical layer aspects:V12.1.0[S]. 2013:
[17]	SONG J , CHOI W . Minimum cache size and backhaul capacity for cache-enabled small cell networks[J]. IEEE Wireless Communications Letters, 2017,7(4): 490-493.
[18]	CHU S , LI J , LIU T . A contract-based incentive mechanism for data caching in ultra-dense small-cells networks[C]// IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2017: 1-6.
[19]	SAHA C , AFSHANG M , DHILLON H S . Integrated mmWave access and backhaul in 5G:bandwidth partitioning and downlink analysis[C]// IEEE International Conference on Communications (ICC). IEEE, 2018: 1-6.
[20]	MA Y , . Proportional fair scheduling for downlink OFDMA[C]// IEEE International Conference on Communications (ICC). IEEE, 2007: 4843-4848.
[21]	HYT?NEN T . Optimal wrap-around network simulation[R]. Helsinki University of Technology,Report A432,(2001-12)[2020-01-09].
[22]	3GPP TR 36.814.Further advancements for E-UTRA physical layer aspects:V9.2.0[S].(2017-03)[2020-01-09]
[23]	ITU-R Report.Guidelines for evaluation of radio interface technologies for IMT-Advanced:M.2135[R]. 2008:

Metrics

Recommended 0

No Suggested Reading articles found!

参数名称	参数取值
UE数量	每个宏小区地理范围内60个
系统带宽/MHz	10
载波频率/GHz	2.0
宏基站发射功率/dBm	46
小小区发射功率/dBm	30
宏小区路损模型	ITU UMa
小小区路损模型	ITU UMi
宏小区阴影衰落模型/dB	6（NLoS），4（LoS）
小小区阴影衰落模型/dB	4（NLoS），3（LoS）
宏小区天线方向	3D样式
小小区天线方向	2D样式
宏小区天线增益+连接损耗/dBi	17
小小区天线增益+连接损耗/dBi	5
小小区落在簇中的半径/m	50
UE落在簇中的半径/m	70
多天线配置	2发2收，交叉极化
UE速率/(km·h^-1)	3
接收算法	最小均方误差

每个宏小区覆盖范围内的小小区数量/个	传统CoMP JT方案/(bit·s^-1)	本文方案/(bit·s^-1)性能增益
8（一般）	1.629×10⁶	2.366×10⁶45.24%
40（密集）	0.742×10⁶	1.543×10⁶107.96%

Dynamic interference coordination scheme based on the iterative joint transmission in ultra dense network

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 23

Related Articles 15

Metrics

Recommended 0

[1]	Caixia LIU, Xinsheng JI, Jiangxing WU. Endogenous security common problems and solutions of the mobile communication networks [J]. Journal on Communications, 2022, 43(9): 70-79.
[2]	Huiqiang WANG, Kaixuan GAO, Hongwu LYU. Survey of high-precision localization and the prospect of future evolution [J]. Journal on Communications, 2021, 42(7): 198-210.
[3]	Lei SUN, Jianquan WANG, Shangjing LIN, Zhangchao MA, Wei LI, Liang Qilian, Rong HUANG. Research on 5G-TSN joint scheduling mechanism based on radio channel information [J]. Journal on Communications, 2021, 42(12): 65-75.
[4]	Yueping CAI, Dong LI, Chi XU, Zhen WANG, Xiaowen ZHANG. Integrating 5G-U with time-sensitive networking for industrial Internet: architectures and technologies [J]. Journal on Communications, 2021, 42(10): 43-54.
[5]	Yusun FU,Genke YANG. Wireless ultra-reliable and low-latency communication:key design analysis and challenge [J]. Journal on Communications, 2020, 41(8): 187-203.
[6]	Tingting LIU,Yi’nan LUO,Chenyang YANG. Distributed interference coordination based on multi-agent deep reinforcement learning [J]. Journal on Communications, 2020, 41(7): 38-48.
[7]	Jie HUANG,Fan YANG,Yiwen GAO,Bowei ZHANG. Interference avoidance strategy for ultra dense network with pilot reuse [J]. Journal on Communications, 2020, 41(7): 165-171.
[8]	. Challenges for beyond 5G:ultra-densification of radio access network [J]. Journal on Communications, 2020, 41(11): 1-11.
[9]	Wenxue LIU,Shijun CHEN,Jian GE,Hong YUAN,Cuiling GONG. Research on nanosecond time synchronization technology for 5G base station based on GNSS neighborhood similarity [J]. Journal on Communications, 2020, 41(1): 180-190.
[10]	Xuanli WU,Ziyi XIE,Wei WU. Interference graph based adaptive interference coordination method in indoor UDN [J]. Journal on Communications, 2019, 40(9): 15-23.
[11]	Xutong ZUO,Mowei WANG,Yong CUI. Low-latency networking:architecture,key scenarios and research prospect [J]. Journal on Communications, 2019, 40(8): 22-35.
[12]	Yuan YANG,Mingwei XU,Hao CHEN. Analysis and modeling of Internet backbone traffic with 5G/B5G [J]. Journal on Communications, 2019, 40(8): 36-44.
[13]	HUANG Tao,WANG Shuo,HUANG Yudong,ZHENG Yao,LIU Jiang,LIU Yunjie. Survey of the deterministic network [J]. Journal on Communications, 2019, 40(6): 160-176.
[14]	Wenjuan SHAO,Qingguo SHEN. Survey of software defined D2D and V2X communication [J]. Journal on Communications, 2019, 40(4): 179-194.
[15]	Zheng HU,Hao YUAN,Xinning ZHU,Wanli NI. Research on crowd flows prediction model for 5G demand [J]. Journal on Communications, 2019, 40(2): 1-10.