2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第3页

Transmission Characteristics of High-Frequency Underwater Acoustic Channels with High-Frequency Marine Noise in Shallow Sea 浅海含高频海洋噪声的高频水声信道传输特性研究

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538926

Fanggui Xiao, Yi He, Xiaomei Xu, Longfei Huang, Yi Tao, Yougan Chen

{"title":"Transmission Characteristics of High-Frequency Underwater Acoustic Channels with High-Frequency Marine Noise in Shallow Sea","authors":"Fanggui Xiao, Yi He, Xiaomei Xu, Longfei Huang, Yi Tao, Yougan Chen","doi":"10.1109/ICCCWorkshops52231.2021.9538926","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538926","url":null,"abstract":"High-frequency coherent underwater acoustic (UWA) communication technique has the characteristics of large bandwidth, high data rate, and high directivity, which provide the possibility for high-speed robust point-to-point transmission in UWA sensor networks. As of now, there are few researches on high-frequency UWA channels. In this paper, we investigate the transmission characteristics of high-frequency UWA channels with high-frequency background noise in shallow sea. Firstly, we present the physical characteristics of high-frequency UWA channels, including multi-path effect, Doppler Effect, and marine background noise at high-frequency. Then, the multi-scale time-varying UWA channel (MTUAC) model is introduced to compare with the field test results of high-frequency UWA channels in two sea areas along the coast of Fujian, China. Finally, the transmission characteristics of mid-low- and high-frequency UWA channels are simulated by using the MTUAC model respectively. The differences in characteristics (multi-path structures and Doppler spread) between the two kinds of UWA channels are highlighted. The results show that due to attenuation and scattering, the number of multi-path in high-frequency UWA channel is less than that in mid-low-frequency UWA channel. In addition, the time variation and the Doppler spread of high-frequency UWA channel are relatively more serious.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"454 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125792203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Energy-Efficient Uplink Power Control in NOMA Enhanced Cell-Free Massive MIMO Networks NOMA增强型无小区大规模MIMO网络的高效上行功率控制

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538877

Meihui Hua, Wanli Ni, Hui Tian, Gaofeng Nie

{"title":"Energy-Efficient Uplink Power Control in NOMA Enhanced Cell-Free Massive MIMO Networks","authors":"Meihui Hua, Wanli Ni, Hui Tian, Gaofeng Nie","doi":"10.1109/ICCCWorkshops52231.2021.9538877","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538877","url":null,"abstract":"The ever-increasing communication requirement of the next generation network imposes great challenges in the existing cellular architecture and requires energy-efficient resource allocation. In this paper, we consider a cell-free (CF) massive multiple-input multiple-output (MIMO) network, where a large number of distributed access points with multiple antennas simultaneously serve a smaller number of users in a geographic coverage without cell boundary. To alleviate the limitation of orthogonal resource and further enhance network capacity, non-orthogonal multiple access is applied to the CF massive MIMO network in both channel training and uplink transmission phases. First, we derive the closed-form expression of uplink transmission rate by taking into account the imperfect channel state information (CSI) caused by pilot contamination and channel statistics. Second, based on the obtained uplink rate expression, an energy efficiency (EE) maximization problem is formulated by optimizing power control scheme, and we propose a low-complexity algorithm to address the non-convex optimization. Finally, simulation results validate that the designed algorithm can improve EE significantly compared to benchmarks in different CSI cases and network setups.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129614855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysis and Field Trial on FDD NR Based on 2.1GHz 基于2.1GHz的FDD NR分析与现场试验

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538867

Bowen Cai, Chunlei Hu, Weiliang Xie, Xu Xia

引用次数: 1

Clustering-Based Reinforcement Learning Routing Protocol with Low Complexity for Underwater Acoustic Sensor Networks 基于聚类的低复杂度水声传感器网络强化学习路由协议

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538885

Weixing Liu, Yougan Chen, Weidi Huang, Changjing Xiong, Shiyu Li, Wenxiang Zhang, Xiaomei Xu

引用次数: 1

Measuring Channel State Information by Underwater Acoustic Gliders 利用水声滑翔机测量航道状态信息

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538908

Haisheng Wang, Wei Feng, Wen Xu, Jianlong Li

引用次数: 0

A Tutorial to Orthogonal Time Frequency Space Modulation for Future Wireless Communications 面向未来无线通信的正交时频空间调制教程

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538891

Shuangyang Li, W. Yuan, Zhiqiang Wei, R. He, B. Ai, B. Bai, Jinhong Yuan

引用次数: 5

Analysis and Optimization of RIS-aided Massive MIMO Systems with Statistical CSI 基于统计CSI的ris辅助大规模MIMO系统分析与优化

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538874

Kangda Zhi, Cunhua Pan, Gui Zhou, Hong Ren, Kezhi Wang

引用次数: 4

OTFS Channel Estimation via 2D Off-grid Decomposition and SBL Combination 基于2D离网分解和SBL组合的OTFS信道估计

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538872

Qianli Wang, Bowen Jia, Zhengquan Zhang, Heng Liu, P. Fan

{"title":"OTFS Channel Estimation via 2D Off-grid Decomposition and SBL Combination","authors":"Qianli Wang, Bowen Jia, Zhengquan Zhang, Heng Liu, P. Fan","doi":"10.1109/ICCCWorkshops52231.2021.9538872","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538872","url":null,"abstract":"Fractional channel parameter is one of the main factors deteriorates the performance of channel estimation in orthogonal time-frequency space (OTFS) system. Several works had explored the one dimensional (1D) and two dimensional (2D) off grid methods to handle the fractional delay and Doppler shift. However, the 1D off-grid method is computationally complex and the 2D off-grid method suffers performance degradation. One reason of performance degradation in 2D off-grid method is the tandem off-grid distortion introduced during the estimation of intermediate channel matrix in its first step. To mitigate the tandem off-grid distortion, a 2D off-grid decomposition and SBL combination method is proposed in this paper. In our method, the received symbols are firstly processed by two paralleling branches, i.e., the U-branch and the V-branch, based on the decomposition of the OTFS symbols in different dimension. The two branches are used to estimate the off-grid parameters and the channel matrix simultaneously and independently, leading to complementarity in representing the received symbols. Then the obtained two channel matrices and the off-grid parameters are combined to iteratively construct the final channel matrix based on the sparse Bayesian learning (SBL) framework. Through the off-grid decomposition and SBL combination, the channel matrix is better represented and higher accuracy could be achieved. The simulation results show the effectiveness of the method.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128648927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Application of Passive Acoustic Technology in the Monitoring of Abalone’s Feeding Behavior 被动声学技术在鲍鱼摄食行为监测中的应用

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538916

Lu Chen, Xiaoyi Ye, Yi Zhu, Fei Yuan, En Cheng

引用次数: 0

A Lightweight Mobile Temporal Convolution Network for Multi-Location Human Activity Recognition based on Wi-Fi 基于Wi-Fi的轻型移动时间卷积网络多位置人体活动识别

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538870

Zhiwei Li, Ting Jiang, JiaCheng Yu, Xue Ding, Yi Zhong, Yang Liu

{"title":"A Lightweight Mobile Temporal Convolution Network for Multi-Location Human Activity Recognition based on Wi-Fi","authors":"Zhiwei Li, Ting Jiang, JiaCheng Yu, Xue Ding, Yi Zhong, Yang Liu","doi":"10.1109/ICCCWorkshops52231.2021.9538870","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538870","url":null,"abstract":"Wi-Fi-based human activity recognition has been widely adopted in the field of the Internet of Things. Although recent works have made great progress for human activity recognition at multiple locations, most of them rely on high-resolution data, adequate training samples and large-scale networks to model human activities, which ignores serial floating-point operations on CPU-driven devices and memory consumption limitations. Therefore, to address above issue, this paper proposes a Lightweight Mobile Temporal Convolution Network (LM-TCN). On the one hand, the proposed approach uses the fully 1-D convolution framework to provide time-shift invariant inductive bias. On the other hand, the combination of invert bottleneck and gated mechanism optimizes the computational load of the conventional residual structure to prevent overfitting under few training samples. Experimental results show that the average accuracy of the proposed LM-TCN is 95.2% across all 24 predefined locations, which is 2.9% higher than the baseline TCN while the calculation cost is reduced to 6% of TCN. It is worth noting that only 10 samples and 15 subcarriers for each activity at each location are used for training.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129595778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1