2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第5页

Standardization for Reconfigurable Intelligent Surfaces: Progresses, Challenges and the Road Ahead 可重构智能表面的标准化:进展、挑战和未来的道路

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538911

Mengnan Jian, Ruiqi Liu, Yijian Chen

引用次数: 10

Spatial Modulation Based MIMO-OTFS Transmissions 基于MIMO-OTFS传输的空间调制

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538858

Chunqiong Zhang, Dan Feng, Mengmeng Liu, B. Bai

{"title":"Spatial Modulation Based MIMO-OTFS Transmissions","authors":"Chunqiong Zhang, Dan Feng, Mengmeng Liu, B. Bai","doi":"10.1109/ICCCWorkshops52231.2021.9538858","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538858","url":null,"abstract":"Orthogonal time frequency space (OTFS) is a novel modulation scheme designed in delay-Doppler domain, which shows a strong Doppler-resilience over doubly-dispersive channels. The interaction between delay-Doppler channel and OTFS symbols allows a linear scaling of capacity with the multiple-input multiple-output (MIMO) order and simultaneously enables significant spectral efficiency improvements over traditional multicarrier modulations such as orthogonal frequency division multiplexing (OFDM). In this paper, we investigate the use of spatial modulation (SM) in MIMO-OTFS systems. With the structure of SM-OTFS, the overall spectral efficiency is increased by the base-two logarithm of the number of transmit antennas at least. We demonstrate that such an SM-OTFS system can achieve a higher spectral efficiency than space-time coded OTFS (STC-OTFS) while demand a lower detection complexity. Extensive simulations are carried out under various delay and Doppler conditions, our simulation results demonstrate significant performance gains of SM-OTFS compared to STC-OTFS with various MIMO settings.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"59 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":"129129797","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

Hybrid Beamforming for DFRC System Based on SINR Performance Metric 基于信噪比性能度量的DFRC系统混合波束形成

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538857

Yuanzhe Dai, Kaifeng Han, Guo Wei, Ying Du, Zhiqin Wang

引用次数: 1

Channel Replay Aided Modulation Classification of Underwater Acoustic Communication Signals 水声通信信号的信道重放辅助调制分类

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538854

Xiangyu Kong, Jun Tao, Yanjun Wu, M. Jiang, H. Cao

{"title":"Channel Replay Aided Modulation Classification of Underwater Acoustic Communication Signals","authors":"Xiangyu Kong, Jun Tao, Yanjun Wu, M. Jiang, H. Cao","doi":"10.1109/ICCCWorkshops52231.2021.9538854","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538854","url":null,"abstract":"Modulation classification or recognition of underwater acoustic (UWA) communication signals faces great difficulties due to the unpredictable characteristics of underwater acoustic channels as well as lack of training data. As traditional feature-based methods work poorly in such scenarios, resurgent artificial neural networks are gaining more attentions in the area of automatic modulation classification. Deep learning, however, demands large amount of training data for good recognition performance. To address the problem of insufficient training data, we propose to adopt the channel replay technique. With this technique, channel realizations with the same statistical characteristics as the measured underwater acoustic channel, can be generated as much as one needs. Training and validation data sets can then be generated with the replayed channels. A residual network (ResNet) is adopted to achieve simultaneously feature extraction and modulation recognition. It is shown the proposed ResNet not only classifies artificial test data but also experimental data collected in an at-sea UWA communication trail.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"49 8 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":"131187409","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

5G Enabling Digital Transformation of Smart Grid: A Review of Pilot Projects and Prospect 5G实现智能电网数字化转型:试点项目回顾与展望

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538928

Junlong Chen, Hailong Zhu, Liming Chen, Qin Li, Baoyin Bian, Xu Xia

引用次数: 1

Video Semantics based Resource Allocation Algorithm for Spectrum Multiplexing Scenarios in Vehicular Networks 基于视频语义的车载网络频谱复用资源分配算法

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538906

Meiyi Zhu, Chunyan Feng, Jiujiu Chen, Caili Guo, Xiaofang Gao

{"title":"Video Semantics based Resource Allocation Algorithm for Spectrum Multiplexing Scenarios in Vehicular Networks","authors":"Meiyi Zhu, Chunyan Feng, Jiujiu Chen, Caili Guo, Xiaofang Gao","doi":"10.1109/ICCCWorkshops52231.2021.9538906","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538906","url":null,"abstract":"Due to the time-varying scenarios and multiple requirements in vehicular networks, it is difficult to guarantee the accuracy of video semantic understanding within the scarce spectrum resources. Existing resource allocation algorithms such as quality of service (QoS) based and quality of experience (QoE) based algorithms, respectively prone to optimize network performance and user experience, are no longer applicable to semantic understanding tasks. Furthermore, a recently proposed semantics based algorithm exclusively considers vehicle to infrastructure (V2I) video transmission tasks, regardless of the practical vehicular networks scenarios. To tackle the challenges above, we propose a video semantics based resource allocation model under the vehicle moving and spectrum multiplexing scenarios. On the ground of the time-dependent environment and diverse needs, multi-agent reinforcement learning, which peculiarly owns sequential decision and reward mechanism, is employed to obtain the optimal resource allocation scheme. Simulation results show the effectiveness of our proposed algorithm and its better performance than the traditional and existing semantics based algorithms.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"116 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":"124205166","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: 6

Simultaneous Terahertz Information and Power Transfer (STIPT) with Self-Sustainable Intelligent Reflecting Surface 具有自持续智能反射表面的同步太赫兹信息和功率传输(STIPT)

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538907

Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang

引用次数: 0

Analysis on Power Configuration in 5G Co-construction and Sharing Network 5G共建共享网络中的功率配置分析

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538894

Pingping Lin

{"title":"Analysis on Power Configuration in 5G Co-construction and Sharing Network","authors":"Pingping Lin","doi":"10.1109/ICCCWorkshops52231.2021.9538894","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538894","url":null,"abstract":"The power allocation of the base station is a very important issue in the wireless communication system, which directly determines the network coverage, capacity and even the types of services that can be used. The power of the equipment sharing the network needs to be allocated to the networks of both operators at the same time, which may cause insufficient downlink power. Reasonable power configuration plays an important role in improving network service quality, reducing energy consumption, and effectively using limited network resources. Based on the networking scenario of two operators, 5G NSA Sharing network and certain load applied to the entire network, the influence of power configuration on uplink and downlink air interface performance is studied separately. In this paper, the experiments on air interface performance of RSRP and throughput were carried out under the co-construction and sharing network. The research on the impact of uplink power configuration on coverage was mainly conducted in the case of 30% loading, the 100W/150W outdoor DT and indoor CQT were carried out. The study on the influence of downlink power configuration on coverage was mainly conducted in the case of 30% and 50% loading, the 100W/150W/200W outdoor DT and indoor CQT were carried out separately.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"41 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":"114946454","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: 5

User Cooperation for RIS-aided Secure SWIPT MIMO Systems under the passive eavesdropping 无源窃听下ris辅助安全SWIPT MIMO系统的用户协作

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538921

Gui Zhou, Cunhua Pan, Hong Ren, Kangda Zhi, Sheng Hong, K. K. Chai

引用次数: 3

Markov chain Monte Carlo Equalization for Single Carrier Underwater Acoustic Communications 单载波水声通信的马尔可夫链蒙特卡罗均衡

2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2021-07-28 DOI: 10.1109/ICCCWorkshops52231.2021.9538919

Lianyou Jing, Han Wangy, Chengbing He, Hongxi Yin

引用次数: 0