Terahertz Band Communication Networks, and 5G and 6G Channel Models

Session WS1-1

Session 1

9:00 AM — 10:30 AM CST
Aug 8 Sat, 9:00 PM — 10:30 PM EDT

The Impact of Antenna Height on the Channel Model in Indoor Industrial Scenario

Tao Jiang (Beijing University of Posts and Telecommunications, China); Lei Tian (Beijing University of Posts and Telecommunications & Wireless Technology Innovation Institute, China); Jianhua Zhang (Beijing University of Posts and Telecommunications, China); Yi Zheng (China Mobile, China); Qixing Wang (CMCC, China); Jianwu Dou (ZTE Corporation, China)

As the Industrial Internet of Things (IIoT) becomes one of the most important application scenarios in the fifth generation (5G) wireless communication system, the study for indoor industrial scenario is attracting more and more attention from the researchers. In the industrial scenario, the ceiling is much higher than the indoor scenario, thus the antenna can be deployed in a large height range. In 3GPP TR 38.901 standard, the path loss of NLOS case is also modeled according to the antenna height. In this paper, we conducted four channel measurements in a machine shop, and the antenna height is set as clutter-elevated and clutter-embedded in these four measured cases. It can be seen from the result that the antenna height has a significant impact on the path loss and the root mean square (RMS) delay spread.

Channel Characteristics Analysis of 60 GHz Wireless Communications in Staircase Environments

Cuiping Zhang (Shandong University, China); Jian Sun (ShanDong University, China); Yu Liu and Wensheng Zhang (Shandong University, China); Cheng-Xiang Wang (Southeast University & Heriot-Watt University, China)

The fifth generation mobile communication (5G) is being commercialized. As two pivotal technologies of 5G, millimeter-wave (mmWave) and massive multiple-input multiple-output (MIMO) have attracted widespread attention. Many measurements and simulations have been conducted in various indoor scenarios combining these two technologies. Nevertheless, staircase environments are rarely involved. This paper investigates the channel characteristics with MIMO technology at 60 GHz frequency band in a staircase environment. A simulation campaign with 8ЎБ16 and 1ЎБ128 MIMO system is carried out. In case of 8ЎБ16 MIMO system, the change tendency of average power delay profile (APDP) with the movement of receiver (Rx) at different transmitter (Tx) heights is studied. The large-scale parameters (LSPs) such as path loss, shadow fading (SF), root-mean-square (RMS) delay spread (DS) and angular spread (AS), Ricean K-factor (KF) are also analyzed. Then the inter-parameter correlation and decorrelation distance for above LSPs are extracted. In addition, the spatial correlation coefficient between antenna elements along 64-element linear array with disparate Tx heights is also demonstrated. The channel parameter characteristics studied in this paper will provide an insight into the design of future wireless communication system for staircase environment.

Research on User Pairing of the Multi-User in Orbital Angular Momentum

Xiaoqian Wang and Liang Xia (China Mobile Research Institute, China); Zhang Hao (Beijing University of Posts and Telecommunications, China); Guangyi Liu (Research Institute of China Mobile, China); Nan Li (China Mobile Communications Corporation & China Mobile Research Institute, China); Qixing Wang (CMCC, China)

Orbital angular momentum technology (OAM), as one of the potential technologies of the next generation mobile communication system, has become a hot research point in recent years. OAM technology uses mode multiplexing, which starts another dimension of multiplexing technology and can further improve spectrum efficiency. In this paper, we use the characteristics of OAM coaxial propagation to study the problem of user pairing in the same direction. Simulations show that using OAM for user pairing can significantly increase the number of pairing points compared with multi-input multi-output (MIMO) system. In addition, our scheme can obtain a obvious pairing gain at the specific location.

An Improved CDL Model for 5G Millimeter Wave Communication in a Substation Scenario

Zihao Fu, Hao Cui and Xiongwen Zhao (North China Electric Power University, China); Yang Wang (China Electric Power Research Institute, China); Zhihui Wang (China Electric Power Research Institute Co., Ltd., China); Lanxin Qiu and Yanbo Wang (State Grid Zhejiang Electric Power Company, China)

Clustered delay line (CDL) model is a link-level evaluation model with the characteristics of low complexity and relatively low accuracy. In this paper, a modeling method is proposed to improve the accuracy and applicability of existing CDL models in Third Generation Partnership Project (3GPP). To validate the proposed model, 28 GHz millimeter wave channel measurement was conducted in a outdoor substation scenarios, and the improved CDL model is established by identifying different clusters. The accuracy and applicability of the improved CDL model are validated by validating large scale channel parameters and power delay profile. The provided results show that the improved CDL model can match the actual scenario well. This work offers a accurate and relatively simple channel modeling method for specific scenario, which can be used in link-level simulation and subsequent construction of the power Internet of things.

Map-based UAV mmWave Channel Model and Characteristic Analysis

Shan Jiang and Qiuming Zhu (Nanjing University of Aeronautics and Astronautics, China); Cheng-Xiang Wang (Southeast University & Heriot-Watt University, China); Kai Mao, Wenping Xie, Weizhi Zhong and Mengtian Yao (Nanjing University of Aeronautics and Astronautics, China)

In this paper, a new millimeter wave (mmWave) channel model based on the digital map for UAV-to-ground communications is developed. Two key steps to run the proposed model, i.e., the reconstruction of scattering scenario based on the digital map and parameter computation based on the ray-tracing (RT) method, are demonstrated in detail. Based on the proposed channel model, the channel characteristics under different scenarios are analyzed based on the massive RT simulated data. We conduct the RT simulations at the 28 GHz under urban, hilly, forest, and sea scenarios, respectively. The inter-cluster and intra-cluster channel parameters including the cluster number, power gain, delay, and angles are investigated. The simulation and analyze results show that the inter-cluster and intra-cluster channel characteristics are different obviously in different scenarios.

Session Chair

Chong Han

Session WS1-2

Session 2

11:00 AM — 12:30 PM CST
Aug 8 Sat, 11:00 PM — 12:30 AM EDT

Performance Analysis of UCA-Based Two-path OAM System under Misaligned Conditions

Chenhong Zhou, Xi Liao and Yang Wang (Chongqing University of Posts and Telecommunications, China); Jihua Zhou (Institute of Computing Technology, Chinese Academy of Sciences, China); Jie Zhang (University of Sheffield, Dept. of Electronic and Electrical Engineering, United Kingdom (Great Britain))

In this paper, performance of two-path orbital angular momentum (OAM) system is analyzed under two conditions of uniform circular array (UCA) misalignment, i.e., non-parallel and off-axis. We model the geometrical model of two-path OAM system under misaligned conditions. Then, the intensity and phase profiles of 3-mode OAM beam are analyzed. Next, channel capacity is simulated and analyzed under different tilted angles and heights of transmitting antenna array. The results show that the capacity of the two-path OAM system is higher than that of the LoS OAM system due to the power transfer between modes caused by the multipath effect when the transmitting antenna array is tilted.

On the Performance Analysis of Wireless Transmission over ¦Б-¦М/Inverse Gamma Composite Fading Channels

Weijun Cheng, Xiaoting Wang and Xianmeng Xu (Minzu University of China, China)

More recently, it has attracted wide attention to model shadow fading by applying the inverse gamma distribution in wireless transmission. In this paper, we present a composite ¦Б-¦М/inverse gamma fading model, which is a generalized version of the well-known Fisher-Snedecor F composite fading model. The Fisher-Snedecor F model has been introduced in the emerging 5G applications, such as massive MIMO and D2D (device-to-device). For this novel ¦Б-¦М/inverse gamma model, we first derive its theoretical expressions of the statistical characteristics by using the definition of univariate Fox's H-function in terms of Mellin-Barnes type contour integral. Then, capitalizing on the above statistical expressions, some novel and exact closed-form and asymptotic expressions of performance criteria, such as the outage probability, the amount of fading, the average bit/symbol error probability (ABEP/ASEP), and the average channel capacity, for wireless communication systems are derived, respectively. Especially, the exact expressions of the ASEP of several M-ary modulation schemes are obtained in terms of the multivariate Fox's H-function. Finally, numerical analysis and Monte-Carlo simulations are performed to demonstrate the accuracy of the theoretical expressions.

Analysis and Prospect for Application of Terahertz Band Technologies

Kaiyue Yan (China Unicom Network Technology Research Institute, China); Xiaonan Zhang (Beijing University of Posts and Telecommunications, China); Fuchang Li (Institute of Network Technology, China Unicom, China); Zhonghao Zhang and Jingyan Ma (China Unicom Network Technology Research Institute, China)

In this paper, we analyze the application and prospect of terahertz band, especially in massive MIMO. Terahertz band has special channel characteristics which will bring potential challenges to massive MIMO. The shortcomings of the existing antenna technology in terahertz band and the next evolution direction of massive MIMO are analyzed in this paper. Based on these shortcomings and requirements, we propose key technical solutions of massive MIMO in terahertz band, including channel state information acquisition, transmission scheme design, beam management, beamforming and mobility management.

Indoor Office Propagation Channel Characteristics at 140GHz Band

Ziming Yu (Huawei Technologies CO., LTD, China); Jia He and Guangjian Wang (Huawei Technologies Co., Ltd., China)

Currently, with the ultra-band communication and sensing application, terahertz band has been studied. In this paper, a wideband sub-terahertz channel measurement and model from 130GHz to 143GHz are investigated in two indoor office scenario with typical BS and UE deployment for transmitter and receiver. One steerable horn antenna at the receiver is deployed to exploit the spatial channel with zenith and azimuth angle. Furthermore, in light of the measurement results, the path loss and small-scale parameters are proposed for sub-terahertz propagation characteristic. Finally, multi-path component is analyzed by utilizing the geometry optical method between measurement and realistic environment.

Channel Estimation for Intelligent Reflecting Surface Enabled Terahertz MIMO Systems: A Deep Learning Perspective

Zhuoxun Li, Zhi Chen and Xinying Ma (University of Electronic Science and Technology of China, China); Wenjie Chen (University Of Electronic Science And Technology Of China, China)

Terahertz (THz) communications have been recognized as a promising technology to provide sufficient spectrum resources and ultra-high data rate for sixth generation (6G) wire- less communication networks. To compensate the coverage hole caused by the propagation features of THz waves, an intelligent reflecting surface (IRS) is proposed to create the controllable propagation environment. However, the channel acquisition is particularly complicated for the IRS enabled THz multiple-input multiple-output (MIMO) system, since the IRS is lack of the signal processing capability. To this end, we firstly convert the channel estimation problem into a spare recovery problem by utilizing the sparsity nature of the THz channel. Then a deep learning based channel estimation (DL-CE) scheme is developed to solve the sparse recovery problem by revealing the relationship between the received signals and path gains. Simulation results demonstrate that, in contrast with classic compressed sensing based methods, our proposed DL-CE method achieves a better recovery performance and greatly decreases the computational complexity.

Session Chair

Xiongwen Zhao

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