Loading [MathJax]/extensions/MathMenu.js

Eisuke Nakasu - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Eisuke Nakasu

Also published under: E. Nakasu

Publications

14

Citations

380

Publications by Year

19902017

Co-Authors:

K. AokiJun AraiRyohei FunatsuSeiichi GohshiK. Hamasaki

Show All Co-Authors (42)

Eisuke Nakasu

Also published under: E. Nakasu

Affiliation

NHK Engineering Systems Inc., Tokyo, Japan

Publication Topics

Pixel Count,
Viewing Angle,
3D Display,
3D Images,
3D Reconstruction,
3D Scanning,
3D Video,
Angular Resolution,
Anodic Aluminum Oxide,
Biconcave,
Binocular Visual Acuity,
Bottom Layer

Biography

Eisuke Nakasu received the B.E. and M.E. degrees in electrical engineering from Keio University and the Ph.D. degree in engineering from the Tokyo Institute of Technology.,He joined Japan Broadcasting Corporation (NHK), Tokyo, Japan, in 1982. From 1985 to 2012, he worked in NHK Science and Technology Research Laboratories. He is currently a Director of Advanced R&D Department at NHK Engineering System, Inc.(Based on document published on 16 February 2017).

Publications

14

Citations

380

Publications by Year

19902017

Co-Authors:

K. Aoki
Jun Arai
Ryohei Funatsu
Seiichi Gohshi
K. Hamasaki

Show All Co-Authors (42)

Author's Published Works

Search History

Showing 1-25 of 59 results

Conferences (45)

Journals (10)

Magazines (4)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Zhimeng Zhong(58)
Xuefeng Yin(16)
Ruonan Zhang(15)
Chao Li(11)
Bin Li(7)
Huawei Technologies Ltd., Shanghai, China(12)
School of Electronics and Information Engineering, Tongji University, Shanghai, China(9)
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China(5)
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China(5)
Wireless Network RAN Research Department, Shanghai Huawei Technologies CO., Ltd, Shanghai, China(5)
IEEE Transactions on Vehicular Technology(5)
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)(4)
IEEE Communications Magazine(4)
2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)(2)
2013 IEEE 78th Vehicular Technology Conference (VTC Fall)(2)
IEEE(59)
Helsinki, Finland(5)
Hangzhou, China(4)
Honolulu, HI, USA(2)
Las Vegas, NV, USA(2)
Madrid, Spain(2)
Channel Model(31)
Antenna Array(27)
User Equipment(25)
Channel Impulse Response(22)
Channel Measurements(21)

Select All on Page

Sort By

Results

3D Geometry-Based Channel Model for Intelligent Reflecting Surface-Assisted MIMO Communications

Yiwen Li;Hao Chen;Qibo Qin;Zhimeng Zhong;Xinyu Gao;Chao Li

ICC 2023 - IEEE International Conference on Communications

Year: 2023 | Conference Paper |

HTML

Intelligent reflecting surface (IRS) has been regarded as an emerging technology, which can significantly enhance the coverage and capacity of next-generation wireless networks. An accurate and easy-to-use channel model is essential to the deployment and evaluation of IRS-assisted communication systems. In this paper, we propose a 3D geometry-based channel model for the IRS-assisted multiple-input...Show More

3D Geometry-Based Channel Model for Intelligent Reflecting Surface-Assisted MIMO Communications

Yiwen Li;Hao Chen;Qibo Qin;Zhimeng Zhong;Xinyu Gao;Chao Li

ICC 2023 - IEEE International Conference on Communications

Year: 2023 | Conference Paper |

Ultra-Massive MIMO Channel Measurements at 5.3 GHz and a General 6G Channel Model

Yi Zheng;Cheng-Xiang Wang;Runruo Yang;Long Yu;Fan Lai;Jie Huang;Rui Feng;Chao Wang;Chao Li;Zhimeng Zhong

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 1 | Journal Article |

Cited by: Papers (32)

HTML

Ultra-massive multiple-input multiple-output (MIMO) technology will bring unique channel characteristics that need to be fully explored through channel measurements and channel modeling. In this paper, single-user and multi-user channel measurements using ultra-massive MIMO antenna arrays with different configurations are conducted at 5.3 GHz band. The non-stationarity, spherical wavefront, channe...Show More

Ultra-Massive MIMO Channel Measurements at 5.3 GHz and a General 6G Channel Model

Yi Zheng;Cheng-Xiang Wang;Runruo Yang;Long Yu;Fan Lai;Jie Huang;Rui Feng;Chao Wang;Chao Li;Zhimeng Zhong

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 1 | Journal Article |

Electromagnetic-Compliant Channel Modeling and Performance Evaluation for Holographic MIMO

Tengjiao Wang;Wei Han;Zhimeng Zhong;Jiyong Pang;Guohua Zhou;Shaobo Wang;Qiang Li

2022 IEEE Globecom Workshops (GC Wkshps)

Year: 2022 | Conference Paper |

Cited by: Papers (13)

HTML

Recently, the concept of holographic multiple-input multiple-output (MIMO) is emerging as one of the promising technologies beyond massive MIMO. Many challenges need to be addressed to bring this novel idea into practice, including electromagnetic (EM)-compliant channel modeling and accurate performance evaluation. In this paper, an EM-compliant channel model is proposed for the holographic MIMO s...Show More

Electromagnetic-Compliant Channel Modeling and Performance Evaluation for Holographic MIMO

Tengjiao Wang;Wei Han;Zhimeng Zhong;Jiyong Pang;Guohua Zhou;Shaobo Wang;Qiang Li

2022 IEEE Globecom Workshops (GC Wkshps)

Year: 2022 | Conference Paper |

Extensions to COST 2100 Channel Model for Extremely Large-Scale MIMO

Li Fan;Zhimeng Zhong;Chao Wang;Qibo Qin;Wei Han;Tengjiao Wang

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

HTML

Extremely large-scale multiple-input multiple-output (XL-MIMO) system providing more degrees of freedom and beamforming gain, can effectively increase the capacity and coverage of wireless networks, which has become one of the key technologies for 6G. However, the near-field and non-stationary effects will appear as the array aperture expands. Therefore, existing channel models such as COST 2100 a...Show More

Extensions to COST 2100 Channel Model for Extremely Large-Scale MIMO

Li Fan;Zhimeng Zhong;Chao Wang;Qibo Qin;Wei Han;Tengjiao Wang

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Characteristics of 5.3 GHz MIMO Channels with an Extremely Large Antenna Array in Urban Macro Scenarios

Chao Wang;Chao Li;Zhimeng Zhong;Li Fan;Wei Han;Qibo Qin;Cheng-Xiang Wang

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Cited by: Papers (4)

HTML

Extremely large antenna array (ELAA) is one of the most promising technologies in 5G-Advanced (5.5G), which is equipped with hundreds or even thousands of antennas at base station (BS), to meet the requirements of higher rate and spectral efficiency. To verify the characteristics of ELAA channel, including spatial non-stationary, near-field spherical wavefront effect and channel hardening, a measu...Show More

Characteristics of 5.3 GHz MIMO Channels with an Extremely Large Antenna Array in Urban Macro Scenarios

Chao Wang;Chao Li;Zhimeng Zhong;Li Fan;Wei Han;Qibo Qin;Cheng-Xiang Wang

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Spatial Correlations of Measured MIMO Channels with an Extremely Large Aperture Array (ELAA)

Yiling Yuan;Chao Wang;Chao Li;Zhimeng Zhong;Wei Han;Cheng-Xiang Wang

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

HTML

Nowadays, the demand for data traffic increases dramatically, which has posed significant challenge on the current infrastructures of cellular networks. To tackle the challenge, the massive multiple-input-multiple-output (MIMO) technology has been proposed, which can improve spectral efficiency greatly, and attract a lot of attentions in industry and academic. In spite of the great potential benef...Show More

Spatial Correlations of Measured MIMO Channels with an Extremely Large Aperture Array (ELAA)

Yiling Yuan;Chao Wang;Chao Li;Zhimeng Zhong;Wei Han;Cheng-Xiang Wang

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Characterization of multi-TRP wireless propagation Channel in the Industrial Environment with Modeling of Robotic Arms

Jianyao Zhao;Qibo Qin;Zhimeng Zhong

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

HTML

In this paper, properties of the channel multipath are analyzed for the industrial environment, where there are full of metallic boxes, operating platforms, tubes and also the robotic arms which are used to operate manufacturing process instead of human. The analysis is implemented based on ray tracing simulation. For base station configuration, we use the multiple transmission and reception point...Show More

Characterization of multi-TRP wireless propagation Channel in the Industrial Environment with Modeling of Robotic Arms

Jianyao Zhao;Qibo Qin;Zhimeng Zhong

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Reconfigurable Intelligent Surfaces: Channel Characterization and Modeling

Jie Huang;Cheng-Xiang Wang;Yingzhuo Sun;Rui Feng;Jialing Huang;Bolun Guo;Zhimeng Zhong;Tie Jun Cui

Proceedings of the IEEE

Year: 2022 | Volume: 110, Issue: 9 | Journal Article |

Cited by: Papers (71)

HTML

Reconfigurable intelligent surfaces (RISs) are 2-D metasurfaces, which can intelligently manipulate electromagnetic waves by low-cost near passive reflecting elements. RIS is viewed as a potential key technology for the sixth-generation (6G) wireless communication systems mainly due to its advantages in tuning wireless signals, thus smartly controlling propagation environments. In this article, we...Show More

Reconfigurable Intelligent Surfaces: Channel Characterization and Modeling

Jie Huang;Cheng-Xiang Wang;Yingzhuo Sun;Rui Feng;Jialing Huang;Bolun Guo;Zhimeng Zhong;Tie Jun Cui

Proceedings of the IEEE

Year: 2022 | Volume: 110, Issue: 9 | Journal Article |

The Measurement-based Intelligent Reflecting Surfaces Path Loss Model

Qibo Qin;Zhimeng Zhong;Xinyu Gao;Jianyao Zhao;Chao Li;Li Fan;Zhiyuan Jiang

2022 16th European Conference on Antennas and Propagation (EuCAP)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

HTML

Intelligent reflecting surface (IRS) can control the reflection of electromagnetic wave, so the deployment of IRS can adjust the channel conditions to enhance the coverage and throughput in the 5G evolution networks. Since the IRS is only capable of passively reflecting the received signals by adjusting the phase-shift, its path-loss modelling method is different from existing two-hop communicatio...Show More

The Measurement-based Intelligent Reflecting Surfaces Path Loss Model

Qibo Qin;Zhimeng Zhong;Xinyu Gao;Jianyao Zhao;Chao Li;Li Fan;Zhiyuan Jiang

2022 16th European Conference on Antennas and Propagation (EuCAP)

Year: 2022 | Conference Paper |

Tensor-Based Downlink Channel Reconstruction for FDD Massive MIMO

Lin Chen;Xue Jiang;Zhimeng Zhong;Xingzhao Liu;Martin Haardt

2021 55th Asilomar Conference on Signals, Systems, and Computers

Year: 2021 | Conference Paper |

Cited by: Papers (5)

HTML

The acquisition of downlink channel state information (CSI) at the base station is a prerequisite for various applications in frequency division duplex (FDD) massive multipleinput multiple-output (MIMO) systems. To obtain accurate CSI, conventional approaches employ downlink training and feedback with a considerable overhead. In this paper, we exploit the partial reciprocity between FDD uplink and...Show More

Tensor-Based Downlink Channel Reconstruction for FDD Massive MIMO

Lin Chen;Xue Jiang;Zhimeng Zhong;Xingzhao Liu;Martin Haardt

2021 55th Asilomar Conference on Signals, Systems, and Computers

Year: 2021 | Conference Paper |

The Air to Ground Clutter Loss Measurements and Modelling Below 10 GHz

Zhimeng Zhong;Cen Ling

2021 IEEE Globecom Workshops (GC Wkshps)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

HTML

6G-7G Hz (U6G) is one promising frequency band and will be utilized in 5G evolution period, but this frequency band has been occupied by non-terrestrial network (NTN) networks in some countries. The interference assessment between NTN and 5G evolution services in U6G is one of key issues needed to be considered before the large-scale deployment of U6G band in 5G evolution. Therefore, the clutter l...Show More

The Air to Ground Clutter Loss Measurements and Modelling Below 10 GHz

Zhimeng Zhong;Cen Ling

2021 IEEE Globecom Workshops (GC Wkshps)

Year: 2021 | Conference Paper |

Two-Dimensional Channel Estimation via Dictionary Learning for FDD MIMO Systems

Jingxiang Yu;Xue Jiang;Zhimeng Zhong;Xingzhao Liu

2021 4th International Conference on Information Communication and Signal Processing (ICICSP)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

HTML

Using compressed sensing and dictionary learning algorithms to reduce the number of pilot symbols is an effective way to improve the efficiency of channel estimation in frequency division duplexing (FDD) system. The typical predefined dictionaries used in compressed sensing may lead to energy leakage and hence cannot achieve satisfactory performance using sparse representation for current complex ...Show More

Two-Dimensional Channel Estimation via Dictionary Learning for FDD MIMO Systems

Jingxiang Yu;Xue Jiang;Zhimeng Zhong;Xingzhao Liu

2021 4th International Conference on Information Communication and Signal Processing (ICICSP)

Year: 2021 | Conference Paper |

Deep Learning for Massive MIMO: Channel Completion for TDD Downlink

Sida Dai;Martin Kurras;Lars Thiele;Slawomir Stanczak;Litao Chen;Zhimeng Zhong

2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Year: 2021 | Conference Paper |

HTML

In a realistic fifth generation (5G) massive multiple-input multiple-output (MIMO) system, hardware constraints often pose challenges towards network design that are not sufficiently considered in the literature. In this work, we consider a time division duplex (TDD) network where user equipments (UEs) are equipped with N> 1 antennas for receiving in the downlink (DL) but only with a single antenn...Show More

Deep Learning for Massive MIMO: Channel Completion for TDD Downlink

Sida Dai;Martin Kurras;Lars Thiele;Slawomir Stanczak;Litao Chen;Zhimeng Zhong

2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Year: 2021 | Conference Paper |

FDD Massive MIMO Uplink and Downlink Channel Reciprocity Properties: Full or Partial Reciprocity?

Zhimeng Zhong;Li Fan;Shibin Ge

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

Year: 2020 | Conference Paper |

Cited by: Papers (49)

HTML

One challenge for FDD massive MIMO communication system is how to obtain the downlink channel state information (CSI) at the base station. Except for traditional codebook feedback through uplink pilot transmission, some channel reciprocity properties can be utilized through uplink channel estimation and channel parameter estimation algorithms. In this paper, the uplink and downlink channel recipro...Show More

FDD Massive MIMO Uplink and Downlink Channel Reciprocity Properties: Full or Partial Reciprocity?

Zhimeng Zhong;Li Fan;Shibin Ge

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

Year: 2020 | Conference Paper |

Deep Transfer Learning-Based Downlink Channel Prediction for FDD Massive MIMO Systems

Yuwen Yang;Feifei Gao;Zhimeng Zhong;Bo Ai;Ahmed Alkhateeb

IEEE Transactions on Communications

Year: 2020 | Volume: 68, Issue: 12 | Journal Article |

Cited by: Papers (125)

HTML

Artificial intelligence (AI) based downlink channel state information (CSI) prediction for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems has attracted growing attention recently. However, existing works focus on the downlink CSI prediction for the users under a given environment and is hard to adapt to users in new environment especially when labeled data...Show More

Deep Transfer Learning-Based Downlink Channel Prediction for FDD Massive MIMO Systems

Yuwen Yang;Feifei Gao;Zhimeng Zhong;Bo Ai;Ahmed Alkhateeb

IEEE Transactions on Communications

Year: 2020 | Volume: 68, Issue: 12 | Journal Article |

Massive MIMO Channel Measurement and Characterization for Manufacturing Scenario

Zhimeng Zhong;Yuntian Pan;Jianyao Zhao

2020 14th European Conference on Antennas and Propagation (EuCAP)

Year: 2020 | Conference Paper |

Cited by: Papers (3)

HTML

One of the main differences between 5G and previous generations of cellular networks is that 5G supports not only mobile broadband enhancement, but also unprecedented reliability and very low latencies. This is beneficial to new applications in manufacturing scenario. In order to design a feasible wireless solution for manufacturing scenario, the particular characteristics of manufacturing environ...Show More

Massive MIMO Channel Measurement and Characterization for Manufacturing Scenario

Zhimeng Zhong;Yuntian Pan;Jianyao Zhao

2020 14th European Conference on Antennas and Propagation (EuCAP)

Year: 2020 | Conference Paper |

WLAN Channel Measurement in Two Classrooms for LOS and NLOS Coverage

Ruonan Zhang;Qi Guo;Jiaxin Wang;Zhimeng Zhong;Chao Li

2019 International Conference on Computing, Networking and Communications (ICNC)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

HTML

Coverage optimization is a key problem for wireless local area networks (WLANs) deployed for indoor access. Appropriate WLAN deployment should be planned based on the accurate channel fading characteristics. In this paper, we conduct a measurement campaign in two typical university classrooms on the large-scale channel fading of an access point (AP) at 2.4 and 5.8 GHz for both line-of-sight (LOS) ...Show More

WLAN Channel Measurement in Two Classrooms for LOS and NLOS Coverage

Ruonan Zhang;Qi Guo;Jiaxin Wang;Zhimeng Zhong;Chao Li

2019 International Conference on Computing, Networking and Communications (ICNC)

Year: 2019 | Conference Paper |

Elevation Power Spectrum Measurement and Interference Analysis of UMa I2O Uplink Channels

Ruonan Zhang;Haochen Xu;Bin Li;Zhimeng Zhong;Chao Li

2019 International Conference on Computing, Networking and Communications (ICNC)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

Full-dimensional (FD) beamforming extends spatial multiplexing to the elevation domain and increases network capacity significantly. However, the beamforming employing a large number of active antenna elements consumes great power and also causes interference among sectors. The multipath spatial propagation characteristics determines the beamforming performance and should be investigated carefully...Show More

Elevation Power Spectrum Measurement and Interference Analysis of UMa I2O Uplink Channels

Ruonan Zhang;Haochen Xu;Bin Li;Zhimeng Zhong;Chao Li

2019 International Conference on Computing, Networking and Communications (ICNC)

Year: 2019 | Conference Paper |

A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels

Chen Huang;Ruisi He;Zhangdui Zhong;Bo Ai;Yangli-Ao Geng;Zhimeng Zhong;Qingyong Li;Katsuyuki Haneda;Claude Oestges

IEEE Transactions on Vehicular Technology

Year: 2019 | Volume: 68, Issue: 1 | Journal Article |

Cited by: Papers (30)

HTML

Radio channel modeling has been an important research topic, since the performance of any communication system depends on channel characteristics. So far, most existing clustering algorithms are conducted based on the multipath components (MPCs) extracted by using a high-resolution parameter estimation approach, e.g., SAGE or MUSIC, etc. However, most of the estimation approaches require prior inf...Show More

A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels

Chen Huang;Ruisi He;Zhangdui Zhong;Bo Ai;Yangli-Ao Geng;Zhimeng Zhong;Qingyong Li;Katsuyuki Haneda;Claude Oestges

IEEE Transactions on Vehicular Technology

Year: 2019 | Volume: 68, Issue: 1 | Journal Article |

Model Accuracy and Sensitivity Assessment Based on Dual-Band Large-Scale Channel Measurement

Ruonan Zhang;Jiaxin Wang;Qi Guo;Dawei Wang;Zhimeng Zhong;Chao Li

2018 24th Asia-Pacific Conference on Communications (APCC)

Year: 2018 | Conference Paper |

Cited by: Papers (2)

HTML

In this paper, by using a dual-band channel sounder equipped with omnidirectional antennas, we have measured and investigated the propagation parameters including path loss and shadowing at 1.79 and 4.9 GHz in the typical non-line-of-sight (NLOS) urban macrocell (UMa) scenario. Two different large-scale channel models, the alpha-beta-gamma (ABG) model and the close-in model with a frequency-weight...Show More

Model Accuracy and Sensitivity Assessment Based on Dual-Band Large-Scale Channel Measurement

Ruonan Zhang;Jiaxin Wang;Qi Guo;Dawei Wang;Zhimeng Zhong;Chao Li

2018 24th Asia-Pacific Conference on Communications (APCC)

Year: 2018 | Conference Paper |

Analysis of Edge Detection for the Clusters in Radio Propagation Channel

Chen Huang;Ruisi He;Zhangdui Zhong;Zhimeng Zhong

2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting

Year: 2018 | Conference Paper |

Cited by: Papers (1)

HTML

Channel modeling is an important research field in radio propagation, whereas clustering is one of key processes in the channel modeling. In this paper, edge detection algorithm is firstly applied for the clusters of signal in radio propagation channels, which can recognize the clusters with low computation cost. In the proposed algorithm, the clusters are detected based on the distribution of sig...Show More

Analysis of Edge Detection for the Clusters in Radio Propagation Channel

Chen Huang;Ruisi He;Zhangdui Zhong;Zhimeng Zhong

2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting

Year: 2018 | Conference Paper |

Measurement-based Massive-MIMO Channel Characterization for Outdoor LoS Scenarios

Le Hao;Xuefeng Yin;José Rodríguez-Piñeiro;Bo Ai;Zhimeng Zhong

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Year: 2018 | Conference Paper |

Cited by: Papers (3)

HTML

Massive multiple-input multiple-output (MIMO) transmission is one of the key technologies utilized in the fifth generation (5G) wireless communication system. For the algorithm design and the performance evaluation of massive-MIMO, channel characterization based on real measurements is necessary. In this paper, we introduced a measurement campaign conducted in a Line-of-Sight (LoS) scenario of a s...Show More

Measurement-based Massive-MIMO Channel Characterization for Outdoor LoS Scenarios

Le Hao;Xuefeng Yin;José Rodríguez-Piñeiro;Bo Ai;Zhimeng Zhong

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Year: 2018 | Conference Paper |

A Novel Target Recognition Based Radio Channel Clustering Algorithm

Chen Huang;Ruisi He;Zhangdui Zhong;Bo Ai;Gongpu Wang;Zhimeng Zhong;Claude Oestges;Katsuyuki Haneda

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2018 | Conference Paper |

Cited by: Papers (3)

HTML

In this paper, a novel target recognition based clustering algorithm is proposed for time-varying channels. Power angle spectrum (PAS) is extracted from measurement data by using Bartlett beamformer. Then the clusters in the PAS are separated from the background by using the proposed algorithm, where the amplitude distribution of the elements in the PAS is considered. Moreover, morphology operatio...Show More

A Novel Target Recognition Based Radio Channel Clustering Algorithm

Chen Huang;Ruisi He;Zhangdui Zhong;Bo Ai;Gongpu Wang;Zhimeng Zhong;Claude Oestges;Katsuyuki Haneda

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2018 | Conference Paper |

Distance-Azimuth Joint Cramér-Rao Lower Bound for Spherical-wavefront-based Scatterer Localization

Jiawei Duan;Xuefeng Yin;Bo Ai;Bowen Deng;Zhimeng Zhong

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2018 | Conference Paper |

HTML

In our previous work a scatterer-localization algorithm based on maximum-likelihood estimation was derived using spherical wavefront assumption. Individual Cramér-Rao Lower Bounds (CRLBs) for distance and azimuth estimation were presented. As a continuation, we now derive a joint CRLB for both distance and azimuth. The novelty lying in the joint CRLB is that the underlying Fisher Information Matri...Show More

Distance-Azimuth Joint Cramér-Rao Lower Bound for Spherical-wavefront-based Scatterer Localization

Jiawei Duan;Xuefeng Yin;Bo Ai;Bowen Deng;Zhimeng Zhong

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)

Year: 2018 | Conference Paper |

Cross-Polarized Three-Dimensional Channel Measurement and Modeling for Small-Cell Street Canyon Scenario

Ruonan Zhang;Lin Cai;Zhimeng Zhong;Jianping Zhao;Jian Zhou

IEEE Transactions on Vehicular Technology

Year: 2018 | Volume: 67, Issue: 9 | Journal Article |

Cited by: Papers (24)

HTML

In emerging heterogeneous networks, small-cell base stations deployed along urban streets can increase the network capacity for vehicular access significantly. To fully exploit the potential of full-dimensional multiple-input-multiple-output technologies, it is critical to understand the propagation characteristics of the small-cell vehicle-to-infrastructure (V2I) access channels. In this paper, a...Show More

Cross-Polarized Three-Dimensional Channel Measurement and Modeling for Small-Cell Street Canyon Scenario

Ruonan Zhang;Lin Cai;Zhimeng Zhong;Jianping Zhao;Jian Zhou

IEEE Transactions on Vehicular Technology

Year: 2018 | Volume: 67, Issue: 9 | Journal Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.