基于多点协作联合传输的超密集组网性能分析

曾孝平; 余丰; 简鑫; 李诗琪; 杜得荣; 蒋欣; 方伟

doi:10.11999/JEIT180398

基于多点协作联合传输的超密集组网性能分析

doi: 10.11999/JEIT180398

曾孝平^1, ,,
余丰¹,
简鑫¹,
李诗琪¹,
杜得荣¹,
蒋欣²,
方伟²

1.
重庆大学通信工程学院重庆 400044
2.
北京民用飞机技术研究中心北京 102211

基金项目: 国家自然科学基金(61501065, 61571069, 61701054, 61601067)，中央高校基本科研业务费(106112017CDJQJ168817)，重庆市基础科学与前沿技术研究专项(cstc2016jcyjA0021)

详细信息

作者简介:
曾孝平：男，1956年生，教授，研究方向为下一代移动通信、无线通信、空间信息网

余丰：女，1994年生，硕士生，研究方向为下一代移动通信、无线通信

简鑫：男，1987年生，副教授，研究方向为下一代移动通信、多入多出网络

李诗琪：女，1996年生，硕士生，研究方向为下一代移动通信、空间信息网

杜得荣：男，1986年生，博士，研究方向为移动无线信道建模、空间信息网

蒋欣：男，1970年生，博士，研究员，研究方向为航空电子系统综合设计技术和机载系统技术

方伟：男，1978年生，博士，高级工程师，研究方向为航空电子系统、机载宽带通信技术等

通讯作者:
曾孝平　zxp@cqu.edu.cn

中图分类号: TN929.5
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出版历程
- 收稿日期: 2018-04-27
- 修回日期: 2018-11-14
- 网络出版日期: 2018-11-22
- 刊出日期: 2019-03-01

Performance Analysis of Ultra-dense Networks Based on Coordinated Multiple-points Joint Transmission

1.
College of Communication Engineering, Chongqing University, Chongqing 400044, China
2.
Beijing Aeronautical Science & Technology Research Institute, Beijing 102211, China

Funds: The National Natural Science Foundation of China (61501065, 61571069, 61701054, 61601067), The Fundamental Research Funds for the Central Universities (106112017CDJQJ168817), The General Project of Basic Science and Frontier Technology Research in Chongqing (cstc2016jcyjA0021)

摘要

摘要:
超密集组网的基站高密度特性会带来严重的小区间干扰，多点协作联合传输应用于超密集组网进行干扰管理是目前的研究热点，该文对多点协作联合传输时基站密度对网络性能的影响进行了分析。首先采用随机几何方法推导了3维空间基站与用户距离的概率密度函数，为选取距离用户最近的多个基站联合传输的协作机制提供了基础；然后结合有界双斜率路径损耗模型，进行用户下行链路的干扰建模，进一步推导出用户下行链路覆盖率和网络区域频谱效率的表达式，并分析了协作基站数、基站密度等参数对网络性能的影响。数值仿真表明：协作基站数为2时就可使下行链路覆盖率增加10%，且实现2到3倍的频谱效率的增益，当协作基站数为3时，费效比更优，同时可得到多点协作下的基站密度极限使区域频谱效率最高。该文工作可为下一代移动通信网络的基站部署提供理论支持。
- 超密集组网 /
- 多点协作联合传输 /
- 基站密度 /
- 下行链路覆盖率 /
- 区域频谱效率
Abstract:
The high-density characteristic of base stations in Ultra-Dense Networks (UDN) brings serious inter-cell interference. It is the current research hotspot that Coordinated Multiple-Points Joint Transmission (CoMP-JT) is applied to UDN for interference management. The impact of base station density on network performance with CoMP-JT is analyzed. Firstly, the probability density function of the distance between the base station and the user in 3D space is derived using the stochastic geometric method. It provides the cooperation mechanism’s basis for CoMP-JT that selecting the multiple base stations closest to the user to joint transmission. Then, the downlink interference model is carried out based on the bounded dual-slope path loss model, and the downlink coverage probability and network area spectrum efficiency are further derived. Thereafter, the impact of the parameters such as the number of cooperating base stations and the base station density on the performance of the system is investigated. Numerical simulations show that when the number of cooperative base stations is 2, the downlink coverage probability increases by 10%, and the network area spectral efficiency achieves a gain of 2 to 3 times. When the number of cooperating base stations is 3, the cost-effectiveness ratio is better, and the density of base stations that maximizes the network area spectral efficiency under CoMP-JT can be obtained. This paper provides theoretical support for the deployment of base stations in next-generation mobile communication networks.
- Ultra-dense networks /
- Coordinated Multiple-Points Joint Transmission (CoMP-JT) /
- Base station density /
- Downlink coverage probability /
- Network area spectral efficiency

HTML全文

图 1 3维多点协作蜂窝网络模型

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图 2 $n = 2$时下行链路覆盖率随基站密度变化情况

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图 3 下行链路覆盖率随SINR阈值T变化情况

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图 4 下行链路覆盖率随基站密度变化情况

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图 5 区域频谱效率随SINR阈值T的变化情况

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图 6 区域频谱效率随基站密度的变化情况

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参考文献(32)

LOPEZ-PEREZ D, DING Ming, CLAUSSEN H, et al. Towards 1 Gbps/UE in cellular systems: understanding ultra-dense small cell deployments[J]. IEEE Communications Surveys & Tutorials, 2015, 17(4): 2078–2101. doi: 10.1109/COMST.2015.2439636

ANANG K A, RPAJIC P B, ENEH T I, et al. Minimum cell size for information capacity increase in cellular wireless network[C]. IEEE Vehicular Technology Conference, Yokohama, Japan, 2011: 1–6.

GE Xiaohu, TU Song, MAO Guoqiang, et al. 5G ultra-dense cellular networks[J]. IEEE Wireless Communications, 2016, 23(1): 72–79. doi: 10.1109/MWC.2016.7422408

VAZE R and IYER S K. Capacity of cellular wireless network[C]. 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, Paris, France, 2017: 1–8.

ANDREWS J G, ZHANG Xinchen, DURGIN G D, et al. Are we approaching the fundamental limits of wireless network densification?[J]. IEEE Communications Magazine, 2016, 54(10): 184–190. doi: 10.1109/MCOM.2016.7588290

ZHANG Xinchen and ANDREWS J G. Downlink cellular network analysis with multi-slope path loss models[J]. IEEE Transactions on Communications, 2015, 63(5): 1881–1894. doi: 10.1109/TCOMM.2015.2413412

GE Xiaohu, DU Bangzheng, LI Qiang, et al. Energy efficiency of multiuser multi-antenna random cellular networks with minimum distance constraints[J]. IEEE Transactions on Vehicular Technology, 2016, 66(2): 1696–1708. doi: 10.1109/TVT.2016.2557359

XU Ding, ZHANG Jianhua, GAO Xinying, et al. Indoor office propagation measurements and path loss models at 5.25 GHz[C]. IEEE Vehicular Technology Conference, Baltimore, USA, 2007: 844–848.

KORRAI P K and SEN D. Downlink SINR coverage and rate analysis with dual slope pathloss model in mmWave networks[C]. IEEE Wireless Communications and Networking Conference, San Francisco, USA, 2017: 1–6.

LIU Junyu, SHENG Min, LIU Lei, et al. Network densification in 5G: From the short-range communications perspective[J]. IEEE Communications Magazine, 2017, 55(12): 96–102. doi: 10.1109/MCOM.2017.1700487

ANDREWS J G, BACCELLI F, and GANTI R K. A tractable approach to coverage and rate in cellular networks[J]. IEEE Transactions on Communications, 2011, 59(11): 3122–3134. doi: 10.1109/TCOMM.2011.100411.100541

DING Ming, LOPEZ-PEREZ D, MAO Guoqiang, et al. Will the area spectral efficiency monotonically grow as small cells go dense?[C]. IEEE Global Communications Conference, San Diego, USA, 2015: 1–7.

LIU Junyu, SHENG Min, LIU Lei, et al. Effect of densification on cellular network performance with bounded pathloss model[J]. IEEE Communications Letters, 2017, 21(2): 346–349. doi: 10.1109/LCOMM.2016.2615298

ARNAU J, ATZENI I, and KOUNTOURIS M. Impact of LOS/NLOS propagation and path loss in ultra-dense cellular networks[C]. ICC 2016 IEEE International Conference on Communications, Kuala Lumpur, Malaysia, 2016: 1–6.

DING Ming, WANG Peng, LOPEZ-PEREZ D, et al. Performance impact of LoS and NLoS transmissions in dense cellular networks[J]. IEEE Transactions on Wireless Communications, 2015, 15(3): 2365–2380. doi: 10.1109/TWC.2015.2503391

NGUYEN V M and KOUNTOURIS M. Performance limits of network densification[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(6): 1294–1308. doi: 10.1109/JSAC.2017.2687638

YANG Yanpeng, PARK J, and SUNG K W. On the asymptotic behavior of ultra-densification under a bounded dual-slope path loss model[C]. To Appear in European Wireless, Dresden, Germany, 2017: 229–235.

GUPTA A K, ZHANG Xinchen, and ANDREWS J G. Potential throughput in 3D ultradense cellular networks[C]. Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2015: 1026–1030.

LI Qian, HU Qingyang, and QIAN Yi. Cooperative communications for wireless networks: Techniques and applications in LTE-advanced systems[J]. IEEE Wireless Communications, 2012, 19(2): 22–29. doi: 10.1109/MWC.2012.6189409

LIU Junyu, SHENG Min, LIU Lei, et al. Interference management in ultra-dense networks: Challenges and approaches[J]. IEEE Network, 2017, 31(6): 70–77. doi: 10.1109/MNET.2017.1700052

YANG Yanpeng, SUNG K W, PARK J, et al. Cooperative transmissions in ultra-dense networks under a bounded dual-slope path loss model[C]. European Conference on Networks and Communications, Oulu, Finland, 2017: 1–6.

朱晓荣, 朱蔚然. 超密集小蜂窝网中基于干扰协调的小区分簇和功率分配算法[J]. 电子与信息学报, 2016, 38(5): 1173–1178. doi: 10.11999/JEIT150756

ZHU Xiaorong and ZHU Weiran. Interference coordination-based cell clustering and power allocation algorithm in dense small cell networks[J]. Journal of Electronics &Information Technology, 2016, 38(5): 1173–1178. doi: 10.11999/JEIT150756

BANANI S A and ADVE R S. Analyzing the reduced required BS density due to CoMP in cellular networks[C]. Global Communications Conference, Atlanta, USA, 2013: 2015–2019. doi: 10.1109/GLOCOM.2013.6831371.

BANANI S A and ADVE R S. The density penalty for random deployments in uplink CoMP networks[C]. Wireless Communications and Networking Conference, Istanbul, Turkey, 2014: 577–582. doi: 10.1109/WCNC.2014.6952092.

BACCELLI F and GIOVANIDIS A. A stochastic geometry framework for analyzing pairwise-cooperative cellular networks[J]. IEEE Transactions on Wireless Communications, 2014, 14(2): 794–808. doi: 10.1109/TWC.2014.2360196

HUANG Kaibin and ANDREWS J G. An analytical framework for multicell cooperation via stochastic geometry and large deviations[J]. IEEE Transactions on Information Theory, 2012, 59(4): 2501–2516. doi: 10.1109/TIT.2012.2232966

PAN Ziyu and ZHU Qi. Modeling and analysis of coverage in 3-D cellular networks[J]. IEEE Communications Letters, 2015, 19(5): 831–834. doi: 10.1109/LCOMM.2015.2411599

STREIT R L, 史习智, 龚光鲁, 等. 泊松点过程: 成像、跟踪和感知[M]. 北京: 科学出版社, 2013: 69–73.

STREIT R L, SHI Xizhi, GONG Guanglu, et al. Poisson Point Process: Imaging, Tracking, and Sensing[M]. Beijing: Science Press, 2013: 69–73.

杨立, 黄河, 袁弋非, 等. 5G UDN (超密集网络)技术详解[M]. 北京: 人民邮电出版社, 2018: 233–244.

YANG Li, HUANG He, YUAN Yifei, et al. Ultra Dense Networks of 5th Generation Mobile Communications[M]. Beijing: Posts & Telecom Press, 2018: 233–244.

蔡杰, 刘陈, 陆峰. 基于随机几何理论的多点协作网络分析[J]. 计算机技术与发展, 2016, 26(6): 200–204. doi: 10.3969/j.issn.1673-629X.2016.06.045

CAI Jie, LIU Chen, and LU Feng. Analysis of multi-cell coordination network based on stochastic geometry approach[J]. Computer Technology and Development, 2016, 26(6): 200–204. doi: 10.3969/j.issn.1673-629X.2016.06.045

GUPTA A K, ZHANG Xinchen, and ANDREWS J G. SINR and throughput scaling in ultradense urban cellular networks[J]. IEEE Wireless Communications Letters, 2015, 4(6): 605–608. doi: 10.1109/LWC.2015.2472404

WEBB W T and STEELE R. Variable rate QAM for mobile radio[J]. IEEE Transactions on Communications, 1995, 43(7): 2223–2230. doi: 10.1109/26.392965

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