Challenges for beyond 5G:ultra-densification of radio access network

doi:10.11959/j.issn.1000-436x.2020240

通信学报 ›› 2020, Vol. 41 ›› Issue (11): 1-11.doi: 10.11959/j.issn.1000-436x.2020240

• 专题：面向6G的智能无线通信关键技术 • 下一篇

Challenges for beyond 5G:ultra-densification of radio access network

FumiyukiAdachi,RyoTakahashi,HidenoriMatsuo

Research Organization of Electrical Communication,Tohoku University,Sendai 980-8577,Japan

修回日期:2020-11-11 出版日期:2020-11-25 发布日期:2020-12-19
作者简介:Fumiyuki Adachi received the B.S.and Dr.Eng.degrees in electrical engineering from Tohoku University,Sendai,Japan,in 1973 and 1984,respectively.In April 1973,he joined NTT Laboratories and conducted various researches on digital cellular mobile communications.From July 1992 to December 1999,hewas with NTT DoCoMo,where he led a research group on Wideband CDMA for 3G systems.In January 2000,he joined Tohoku University,Sendai,Japan,where he was a Professor at the Dept.of Communications Engineering,Graduate School of Engineering until he retired in March 2016.Currently,Prof.Adachi is a specially-appointed professor in the Research Organization of Electrical Communication at Tohoku University,and is continuing his research interest is in the area of wireless signal processing (multi-access,equalization,antenna diversity,adaptive transmission,channel coding,etc.) and wireless networking.He is an IEICE Fellow and an IEEE Fellow.He is a recipient of the IEEE Vehicular Technology Society Avant Garde Award 2000,IEICE Achievement Award 2002,Thomson Scientific Research Front Award 2004,Ericsson Telecommunications Award 2008,Telecom System Technology Award 2009,Prime Minister Invention Award 2010,British Royal Academy of Engineering Distinguished Visiting Fellowship 2011,KDDI Foundation Excellent Research Award 2012,VTS Conference Chair Award 2014,C＆C Prize 2014,and IEEE VTS Stuart Meyer Memorial Award 2017,and IEEE ComSoc RCC Technical Recognition Award 2017.|Ryo Takahashi is from research organization of electrical communication (ROEC),Tohoku University.His research interests include 5G mobile communication,MIMO communication,cellular radio,interference suppression,numerical analysis and radio access networks.|Hidenori Matsuo is from research organization of electrical communication (ROEC),Tohoku University.His research interests include MIMO communications,interference suppression,radio access networks and telecommunication scheduling.

Challenges for beyond 5G:ultra-densification of radio access network

Revised:2020-11-11 Online:2020-11-25 Published:2020-12-19
Supported by:
The Research and Development for Further Advancement of the 5th Generation Mobile Communication System(JP1000254)

摘要/Abstract

Abstract:

Ultra-densification of radio access network (RAN) is a key to efficiently support the exponentially growing mobile data traffic in 5G era.Furthermore,extremely high frequency band like mmWave band was utilized to solve the bandwidth shortage problem.However,untra-dense reusing the same radio resource produced severe interference.And the mmWave link was very harsh due to frequent blockage by obstacles.Therefore a new RAN architecture needed to be introduced to realize ultra-reliable communications in such a severe radio propagation environment.An architecture of distributed MIMO based RAN was presented.Then,enhanced interference coordination (eIC) was described.Finally,the effectiveness of distributed MIMO based RAN with eIC by computer simulation was showed.

Key words: 5G advanced systems, distributed MIMO, radio access network, interference coordination

FumiyukiAdachi,RyoTakahashi,HidenoriMatsuo. Challenges for beyond 5G:ultra-densification of radio access network[J]. 通信学报, 2020, 41(11): 1-11.

图/表 15

fig.1

fig.2

fig.3

fig.4

fig.5

fig.6

fig.7

fig.8

fig.9

fig.10

fig.11

fig.12

fig.13

TABLEⅠ

SIMULATION SETTING"

	No.of distributed antennas	128
	No.of users	128
RAN	No.of clusters	64
	$normalized \frac{E_{s}}{N_{0}} / d B$	0
	path loss exponent	a=3.5
channel	log-normal shadowing loss standard deviation	$σ = 7 d B$
	fading type	frequency-nonselective rayleigh
transmission system	cluster-wise MIMO	multi-user MMSE-SVD

TABLEⅠ

fig.14

参考文献 26

[1]	BENJEBBOUR A , KITAO K , KISHIYAMA Y ,et al. 3GPP defined 5G requriements and evaluation conditions[J]. NTT DOCOMO Technical Journal, 2018,19(3): 13-23.
[2]	ZHANG Z Q , XIAO Y , MA Z ,et al. 6G wireless networks:vision,requirements,architecture,and key technologies[J]. IEEE Vehicular Technology Magazine, 2019,14(3): 28-41.
[3]	LETAIEF K B , CHEN W , SHI Y ,et al. The roadmap to 6G – AI empowered wireless networks[J]. IEEE Communications Magazine, 2019,57(8): 84-90.
[4]	GUI G , LIU M , TANG F ,et al. 6G:opening new horizons for integration of comfort,security and intelligence[J]. IEEE Wireless Communications, 2020,27(5): 126-132.
[5]	CISCO. Cisco visual networking index:forecast and trends,2017–2022 white paper[R].(2019-05)[2020-08-04].
[6]	YOU X H , WANG D M , SHENG B ,et al. Cooperative distributed antenna systems for mobile communications[coordinated and distributed MIMO][J]. IEEE Wireless Communications, 2010,17(3): 35-43.
[7]	ADACHI F , PENG W , OBARA T ,et al. Distributed antenna network for gigabit wireless access[J]. International Journal of Electronics and Communications, 2012,66(8): 605-612.
[8]	JOUNG J , CHIA Y K , SUN S . Energy-efficient,large-scale distributed-antenna system (L-DAS) for multiple users[J]. IEEE Journal of Selected Topics in Signal Processing, 2014,8(5): 954-965.
[9]	DAI L . An uplink capacity analysis of the distributed antenna system (DAS):from cellular DAS to DAS with virtual cells[J]. IEEE Transactions on Wireless Communications, 2014,13(5): 2717-2731.
[10]	FENG W , GE N , LU J . Hierarchical transmission optimization for massively dense distributed antenna systems[J]. IEEE Communications Letters, 2015,19(4): 673-676.
[11]	LIN P H , TSAI S H . Performance analysis and algorithm designs for transmit antenna selection in linearly precoded multiuser MIMO systems[J]. IEEE Transactions on Vehicular Technology, 2012,61(4): 1698-1708.
[12]	ISHII H , KISHIYAMA Y , TAKAHASHI H . A novel architecture for LTE-B:C-plane/U-plane split and phantom cell concept[C]// 2012 IEEE Globecom Workshops. Piscataway:IEEE Press, 2012: 624-630.
[13]	HARB H , MAKHOUL A , LAIMANI D ,et al. K-means based clustering approach for data aggregation in periodic sensor networks[C]// IEEE International Conference on Wireless ＆ Mobile Computing. Piscataway:IEEE Press, 2014: 434-441.
[14]	TAKAHASHI R , MATSUO H , ADACHI F . Joint multilayered user clustering and scheduling for 5G advanced ultra-dense RAN[C]// The 2nd IEEE VTC International Workshop on 5G and Beyond Technologies for Ultra-Dense Environments. Piscataway:IEEE Press, 2020.
[15]	QIAN M , HARDJAWANA W , LI Y ,et al. Adaptive soft frequency reuse scheme for wireless cellular networks[J]. IEEE Transactions on Vehicular Technology, 2015,64(1): 118-131.
[16]	SAITO T , ADACHI F . De-centralized adaptive 2-step inter-cell interference coordination in distributed MIMO[C]// 2018 24th Asia-Pacific Conference on Communications. Piscataway:IEEE Press, 2018: 224-228.
[17]	SANGUINETTI L , POOR H V . Fundamentals of multi-user MIMO communications[M]// TAROKH V.New directions in wireless communications research. Berlin:Springer, 2009.
[18]	JAKES W C , COX D C . Microwave mobile communications[M]. [S.n.:s.l.]. 1994.
[19]	SPENCER Q H , PEEL C B , SWINDLEHURST A L ,et al. An introduction to the multi-user MIMO downlink[J]. IEEE Communications Magazine, 2004,42(10): 60-67.
[20]	SPENCER Q H , SWINDLEHURST A L , HAARDT M . Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels[J]. IEEE Transactions on Signal Processing, 2004,52(2): 461-471.
[21]	ADACHI F , TAKAHASHI R . Analysis of 2-user ZF coordinated with user-wise MRTC diversity[J]. IEICE Communications Express,(2020-06)[2020-08-04].
[22]	KUMAGAI S , OBARA T , YAMAMOTO T ,et al. Joint Tx/Rx MMSE filtering for single-carrier MIMO transmission[J]. IEICE Transactions on Communications, 2014,E97-B(9): 1967-1976.
[23]	ADACHI F , BOONKAJAY A , SAITO T ,et al. Cooperative distributed antenna transmission for 5G mobile communications network[J]. ICE Transactions on Communications, 2017,E100-B(8): 1190-1204.
[24]	MATSUKAWA R , OBARA T , ADACHI F . Frequency-domain space-time block coded transmit/receive diversity for single-carrier distributed antenna network[J]. IEICE Communications Express, 2013,2(4): 141-147.
[25]	ADACHI F , BOONKAJAY A . Selective MIMO diversity with subcarrier-wise UE antenna identification/selection[J]. IEICE Communications Express, 2018,7(11): 400-406.
[26]	WU Q , ZHANG R . Towards smart and reconfigurable environment:intelligent reflecting surface aided wireless network[J]. IEEE Communications Magazine, 2020,58(1): 106-112.

Challenges for beyond 5G:ultra-densification of radio access network

Challenges for beyond 5G:ultra-densification of radio access network

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 26

相关文章 0

Metrics

推荐阅读 0