Novel Test Methods for 5G Network Performance Field Trial

被引：2

作者：

Li, Xin ^{[1
]}

Deng, Wei ^{[1
]}

Liu, Lei ^{[1
]}

Tian, Yuqi ^{[1
]}

Tong, Hui ^{[1
]}

Liu, Jianhua ^{[1
]}

Ma, Yi ^{[2
]}

Wang, Jiangzhou ^{[3
]}

Horsmanheimo, Seppo ^{[4
]}

Gavras, Anastasius ^{[5
]}

机构：

[1] China Mobile Res Inst, Beijing, Peoples R China

[2] Univ Surrey, Surrey GU2 7XH, England

[3] Univ Kent, Canterbury CT2 7NZ, Kent, England

[4] VTT Tech Res Ctr Finland, Espoo, Finland

[5] EURESCOM, Heidelberg, Germany

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS) | 2020年

关键词：

5G field trial; interference measurement; drive test; MU-MIMO; down-tilt; RESOURCE-ALLOCATION; MASSIVE MIMO; CHUNK;

D O I：

10.1109/iccworkshops49005.2020.9145321

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, several novel test methods are proposed for 5G mobile network field trials. As it is known, field trial plays an important role in wireless network commercialization process. However, several new technologies have been considered in 5G communication networks, such as massive MIMO. Therefore, conventional filed trial methods used in 4G mobile networks cannot fulfill the new test requirements for 5G mobile networks. Four new field trial methods have been discussed in our work. Moreover, real measurement data has been collected to demonstrate the proposed methods from 5G large scale filed trial supported by China Mobile Communications Group Co., Ltd.

引用

页数：6

共 50 条

[21] A transceiver modification for universal filtered multicarrier scheme in 5G cellular network
Zhang, Xiuyu
Wang, Xiangyang
Chen, Zengmao
2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
[22] Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing
Rkhami, Anouar
Hadjadj-Aoul, Yassine
Outtagarts, Abdelkader
2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2021,
[23] Performance Analysis of Large Aperture mMIMO UCCA Arrays in a 5G User Dense Network
Hasan, Md Imrul
Nayemuzzaman, Sk
Saquib, Mohammad
2022 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2022, : 526 - 531
[24] A Network Calculus Based Traceable Performance Analysis Framework of C-RAN for 5G
Xiong, Muzhou
Liu, Haixin
Zeng, Deze
Gu, Lin
2ND INTERNATIONAL CONFERENCE ON 5G FOR UBIQUITOUS CONNECTIVITY, 5GU 2018, 2020, : 159 - 171
[25] Performance analysis for 5G beamforming heterogeneous networks
Xie, Yi
Li, Bo
Zuo, Xiaoya
Yan, Zhongjiang
Yang, Mao
WIRELESS NETWORKS, 2020, 26 (01) : 463 - 477
[26] Interference coordination for millimeter wave communications in 5G networks for performance optimization
Jiao Wang
Jay Weitzen
Oguz Bayat
Volkan Sevindik
Mingzhe Li
EURASIP Journal on Wireless Communications and Networking, 2019
[27] Performance model for factory automation in 5G networks
Wang, Jiao
Weitzen, Jay
Bayat, Oguz
Sevindik, Volkan
Li, Mingzhe
MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 83 (22) : 61585 - 61604
[28] Performance analysis for 5G beamforming heterogeneous networks
Yi Xie
Bo Li
Xiaoya Zuo
Zhongjiang Yan
Mao Yang
Wireless Networks, 2020, 26 : 463 - 477
[29] Interference coordination for millimeter wave communications in 5G networks for performance optimization
Wang, Jiao
Weitzen, Jay
Bayat, Oguz
Sevindik, Volkan
Li, Mingzhe
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 2019 (1)
[30] Latest progress on 3.5 GHz 5G NR trial
Liu G.
Wang Q.
Liu J.
Wang F.
Zheng Y.
Tongxin Xuebao/Journal on Communications, 2019, 40 (02): : 24 - 30

← 1 2 3 4 5 →