Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538899
Biying Han, Qi Wu, Haiming Wang, Xiqi Gao
An ultra-compact dual-polarized cross-dipole antenna with a small projected area is proposed for Sub-6 GHz base stations, which includes radiating layer, defected ground layer, metal mesh reflector, coaxial lines, and plastic posts. The radiating layer is composed of two vertical bow-tie dipoles, which are respectively excited using two coaxial lines. The defected ground structure is utilized on the ground layer to dramatically reduce the projected area while keeping radiation performance. To reduce wind loading, the traditional metal reflector is replaced by a metal mesh reflector. The proposed antenna shows a very compact structure, small projected area, and high performance, which has great potential for ultra-massive MIMO system operating at the Sub-6 GHz band.
{"title":"Ultra-Compact Dual-Polarized Dipole Antenna for Ultra-Massive MIMO Systems","authors":"Biying Han, Qi Wu, Haiming Wang, Xiqi Gao","doi":"10.1109/ICCCWorkshops52231.2021.9538899","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538899","url":null,"abstract":"An ultra-compact dual-polarized cross-dipole antenna with a small projected area is proposed for Sub-6 GHz base stations, which includes radiating layer, defected ground layer, metal mesh reflector, coaxial lines, and plastic posts. The radiating layer is composed of two vertical bow-tie dipoles, which are respectively excited using two coaxial lines. The defected ground structure is utilized on the ground layer to dramatically reduce the projected area while keeping radiation performance. To reduce wind loading, the traditional metal reflector is replaced by a metal mesh reflector. The proposed antenna shows a very compact structure, small projected area, and high performance, which has great potential for ultra-massive MIMO system operating at the Sub-6 GHz band.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"78 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":"115373700","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538902
Lei Yan, Xiaoli Ma, Xinbin Li
Grant-free (GF) transmission has received significant interests in the fifth generation (5G), that distributed transmission shows the potential of reducing the latency and overhead. In this paper, we introduce GF transmission into underwater wireless networks, and propose a diversity-oriented transmission scheme over doubly-selective underwater acoustic channels. In our design, the users can access the network only based on the channel estimation at the the PHY-layer without any grant. Meanwhile, the receiver can enjoy the enough diversity offered by the doubly-selective acoustic channels with low-complexity zero-forcing equalizers (ZFEs). Furthermore, the fairness control and energy-efficient transmission have been studied during the designing. In the experiment, we analyze the bit error rate (BER) at the receiver, the successful transmission rate of the underwater wireless networks and so on. The results exhibit the performance gains by the proposed grant-free transmission scheme in both the MAC-layer and the PHY-layer.
{"title":"Diversity-Oriented Grant-Free Transmissions for Underwater Wireless Networks","authors":"Lei Yan, Xiaoli Ma, Xinbin Li","doi":"10.1109/ICCCWorkshops52231.2021.9538902","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538902","url":null,"abstract":"Grant-free (GF) transmission has received significant interests in the fifth generation (5G), that distributed transmission shows the potential of reducing the latency and overhead. In this paper, we introduce GF transmission into underwater wireless networks, and propose a diversity-oriented transmission scheme over doubly-selective underwater acoustic channels. In our design, the users can access the network only based on the channel estimation at the the PHY-layer without any grant. Meanwhile, the receiver can enjoy the enough diversity offered by the doubly-selective acoustic channels with low-complexity zero-forcing equalizers (ZFEs). Furthermore, the fairness control and energy-efficient transmission have been studied during the designing. In the experiment, we analyze the bit error rate (BER) at the receiver, the successful transmission rate of the underwater wireless networks and so on. The results exhibit the performance gains by the proposed grant-free transmission scheme in both the MAC-layer and the PHY-layer.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"10 1 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":"125006465","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538910
Fan Jiang, Wei Cheng, Youjun Gao, Changyin Sun
Fog radio access network (F-RAN) is envisioned as a promising network architecture for edge computing-based content caching. In this paper, we propose a content caching strategy with content popularity prediction based on Federated Learning (FL) for F-RAN considering Device-to-Device (D2D) communication. More specifically, to obtain the most popular contents while also avoiding individual privacy disclosure, a content popularity prediction model based on FL is designed, where the user preference data of fog user equipment(F-UE) are only utilized in the user’s local model training process. Furthermore, aim at maximizing the cache hit rate, a distributed caching strategy is proposed based on the acquired popularity prediction results and Q-learning algorithm which further incorporates D2D communication in the caching process. Finally, by utilizing the real data set from MovieLens, simulation results demonstrate that the proposed content caching strategy can improve the cache hit rate compared with existing caching policies.
{"title":"Caching Strategy Based on Content Popularity Prediction Using Federated Learning for F-RAN","authors":"Fan Jiang, Wei Cheng, Youjun Gao, Changyin Sun","doi":"10.1109/ICCCWorkshops52231.2021.9538910","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538910","url":null,"abstract":"Fog radio access network (F-RAN) is envisioned as a promising network architecture for edge computing-based content caching. In this paper, we propose a content caching strategy with content popularity prediction based on Federated Learning (FL) for F-RAN considering Device-to-Device (D2D) communication. More specifically, to obtain the most popular contents while also avoiding individual privacy disclosure, a content popularity prediction model based on FL is designed, where the user preference data of fog user equipment(F-UE) are only utilized in the user’s local model training process. Furthermore, aim at maximizing the cache hit rate, a distributed caching strategy is proposed based on the acquired popularity prediction results and Q-learning algorithm which further incorporates D2D communication in the caching process. Finally, by utilizing the real data set from MovieLens, simulation results demonstrate that the proposed content caching strategy can improve the cache hit rate compared with existing caching policies.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"5 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":"117037163","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538931
Yaowen Mei, Ting Jiang, Xue Ding, Yi Zhong, Sai Zhang, Yang Liu
Nowadays, WiFi-based human activity recognition (HAR), as a key enabler of building smart home, has gained tremendous attention because of its superior properties such as privacy protection and low-cost deployment. Since each human motion within the signal coverage would cause different wireless channel disturbances, it is possible to identify and interpret these activity-induced signal changes for human behavior recognition. Although many approaches attempt to extract distinct patterns from WiFi measurements corresponding to user activities, the signals can be easily attenuated due to environmental variations in the real settings, so that their recognition accuracy may be severely deteriorated. In order to extract the key features in a more distinguished way, in this paper, we propose WiWave, a WiFi-based device-free HAR system leveraging wavelet integrated convolutional neural network (CNN). Instead of utilizing pooling operations, our proposed network has introduced discrete wavelet transform (DWT) into the convolutional architectures, which can combine the good time-frequency local characteristics of the wavelet transform with the self-learning ability of the neural network. Consequently, not only high-level features from low-frequency components can be obtained automatically, but also the the size of feature map can be reduced. The experiment results demonstrate that WiWave achieves average 94.87% accuracy for distinguishing ten actions in real-world home environment.
{"title":"WiWave: WiFi-based Human Activity Recognition Using the Wavelet Integrated CNN","authors":"Yaowen Mei, Ting Jiang, Xue Ding, Yi Zhong, Sai Zhang, Yang Liu","doi":"10.1109/ICCCWorkshops52231.2021.9538931","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538931","url":null,"abstract":"Nowadays, WiFi-based human activity recognition (HAR), as a key enabler of building smart home, has gained tremendous attention because of its superior properties such as privacy protection and low-cost deployment. Since each human motion within the signal coverage would cause different wireless channel disturbances, it is possible to identify and interpret these activity-induced signal changes for human behavior recognition. Although many approaches attempt to extract distinct patterns from WiFi measurements corresponding to user activities, the signals can be easily attenuated due to environmental variations in the real settings, so that their recognition accuracy may be severely deteriorated. In order to extract the key features in a more distinguished way, in this paper, we propose WiWave, a WiFi-based device-free HAR system leveraging wavelet integrated convolutional neural network (CNN). Instead of utilizing pooling operations, our proposed network has introduced discrete wavelet transform (DWT) into the convolutional architectures, which can combine the good time-frequency local characteristics of the wavelet transform with the self-learning ability of the neural network. Consequently, not only high-level features from low-frequency components can be obtained automatically, but also the the size of feature map can be reduced. The experiment results demonstrate that WiWave achieves average 94.87% accuracy for distinguishing ten actions in real-world home environment.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 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":"128455461","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538895
Yanxia Liang, Zhiheng Zhao, Xin Liu, Jing Jiang, Jianbo Du, Shulei Li
In ultra-dense networks (UDN), one of the most important technologies is clustering algorithm which can provide extra benefits for system performance through increasing system throughput, as well as raising data rates of cell-edge users. In this paper, a user cluster scheme based on improved convolution is presented to maximize system Spectral Efficiency(SE) and cell-edge users’ throughput. We proposed once-and twice- convolution algorithms, which means the convolution implemented once or twice. Simulation results show that the recommended algorithm improves the SE of cell-edge users and the system throughput obviously. Moreover, the once-convolution algorithm has better improvement compared with the existing clustering scheme than twice-convolution algorithm.
{"title":"An Improved Convolution Based User Clustering Scheme in Ultra Dense Network","authors":"Yanxia Liang, Zhiheng Zhao, Xin Liu, Jing Jiang, Jianbo Du, Shulei Li","doi":"10.1109/ICCCWorkshops52231.2021.9538895","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538895","url":null,"abstract":"In ultra-dense networks (UDN), one of the most important technologies is clustering algorithm which can provide extra benefits for system performance through increasing system throughput, as well as raising data rates of cell-edge users. In this paper, a user cluster scheme based on improved convolution is presented to maximize system Spectral Efficiency(SE) and cell-edge users’ throughput. We proposed once-and twice- convolution algorithms, which means the convolution implemented once or twice. Simulation results show that the recommended algorithm improves the SE of cell-edge users and the system throughput obviously. Moreover, the once-convolution algorithm has better improvement compared with the existing clustering scheme than twice-convolution algorithm.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"9 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":"124235120","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}
Marine carbon capture and storage (CCS) has been identified as an important strategy to mitigate greenhouse gas emission. To operate underwater gas injection and monitoring undersea facilities, wireless acoustic transmission is often applied. However, such operation may be influenced by gaseous bubble emission from the seabed. In this work, we conduct experiments in anechoic tank based laboratory to quantity the degradation of Signal-to-Noise Ratio (SNR) imposed by bubble curtains in underwater acoustic channel. Signals at five single frequencies from 5 to 65 kHz have been used to ensonify bubbles in the channel. The results show that the SNR of acoustic transmission degrades up to 18 dB as the gas flow rate increases from 1 to 16 L/min.
{"title":"Degradation of SNR Imposed by Bubble Curtains in Underwater Acoustic Channel","authors":"Shuduo Liu, Jianghui Li, Hanxiao Li, Ming-zhen Liu, Wen Xu","doi":"10.1109/ICCCWorkshops52231.2021.9538852","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538852","url":null,"abstract":"Marine carbon capture and storage (CCS) has been identified as an important strategy to mitigate greenhouse gas emission. To operate underwater gas injection and monitoring undersea facilities, wireless acoustic transmission is often applied. However, such operation may be influenced by gaseous bubble emission from the seabed. In this work, we conduct experiments in anechoic tank based laboratory to quantity the degradation of Signal-to-Noise Ratio (SNR) imposed by bubble curtains in underwater acoustic channel. Signals at five single frequencies from 5 to 65 kHz have been used to ensonify bubbles in the channel. The results show that the SNR of acoustic transmission degrades up to 18 dB as the gas flow rate increases from 1 to 16 L/min.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 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":"126199939","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538901
Hong Ren, Cunhua Pan, Kezhi Wang
Different from conventional wired line connections, industrial control through wireless transmission is widely regarded as a promising solution. However, mission-critical applications impose stringent quality of service (QoS) requirements that entail ultra-reliability low-latency communications (URLLC). The primary feature of URLLC is finite blocklength (FBL), and conventional Shannon Capacity is not applicable. In this paper, we consider URLLC in a factory automation (FA) scenario, where wireless signal are easy to be blocked by densely deployed machines. To address this issue, we propose to deploy intelligent reflecting surface (IRS) to create an alternative transmission link when the direct link is blocked, which can enhance the transmission reliability. We focus on the performance analysis for IRS-aided URLLC-enabled communications. Both the average data rate (ADR) and the average decoding error probability (ADEP) are derived and asymptotic analysis is performed to obtain more design insights. Extensive numerical results are provided to verify the accuracy of our derived results.
{"title":"Average Data Rate and Decoding Error Probability Analysis for IRS-aided URLLC in a Factory Automation Scenario","authors":"Hong Ren, Cunhua Pan, Kezhi Wang","doi":"10.1109/ICCCWorkshops52231.2021.9538901","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538901","url":null,"abstract":"Different from conventional wired line connections, industrial control through wireless transmission is widely regarded as a promising solution. However, mission-critical applications impose stringent quality of service (QoS) requirements that entail ultra-reliability low-latency communications (URLLC). The primary feature of URLLC is finite blocklength (FBL), and conventional Shannon Capacity is not applicable. In this paper, we consider URLLC in a factory automation (FA) scenario, where wireless signal are easy to be blocked by densely deployed machines. To address this issue, we propose to deploy intelligent reflecting surface (IRS) to create an alternative transmission link when the direct link is blocked, which can enhance the transmission reliability. We focus on the performance analysis for IRS-aided URLLC-enabled communications. Both the average data rate (ADR) and the average decoding error probability (ADEP) are derived and asymptotic analysis is performed to obtain more design insights. Extensive numerical results are provided to verify the accuracy of our derived results.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"96 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":"124288730","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538878
Tengfei Sui, Xiaofeng Tao, Huici Wu, Xuefei Zhang, Jin Xu
The rapidly growing spatio-temporal correlated data in wireless networks provide a natural platform for Integrated Sensing, Computation and Communication (ISCC). Random Matrix Theory (RMT) is an effective tool to analyze anomaly network behaviors in multi-dimensional datasets. But real-time anomaly detection methods based on RMT spectral analyses may fail to analyze low-dimensional datasets such as Internet of Things (IoT), thus yield unsatisfactory detection accuracies. In this paper, we propose a dimension increasing RMT (DI-RMT) anomaly detection method to analyze low-dimensional random matrices. A random matrix is formulated using the signal plus noise model, with preserved key performance indicators as the augmented matrix and the status data as the rest part of the matrix. On the basis of the tensor product, we put forward a dimension increasing method, which can detect and localize anomalies in real time, and is robust enough to cope with random disturbances and measurement errors. A case study with real-world low-dimensional datasets indicates that our proposed method can achieve a 4.45 times higher accuracy than the traditional RMT approach, which validates the feasibility to apply RMT to the anomaly detection of low-dimensional datasets.
{"title":"Dimension Increased Random Matrix Method for Anomaly Detection in Wireless Networks","authors":"Tengfei Sui, Xiaofeng Tao, Huici Wu, Xuefei Zhang, Jin Xu","doi":"10.1109/ICCCWorkshops52231.2021.9538878","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538878","url":null,"abstract":"The rapidly growing spatio-temporal correlated data in wireless networks provide a natural platform for Integrated Sensing, Computation and Communication (ISCC). Random Matrix Theory (RMT) is an effective tool to analyze anomaly network behaviors in multi-dimensional datasets. But real-time anomaly detection methods based on RMT spectral analyses may fail to analyze low-dimensional datasets such as Internet of Things (IoT), thus yield unsatisfactory detection accuracies. In this paper, we propose a dimension increasing RMT (DI-RMT) anomaly detection method to analyze low-dimensional random matrices. A random matrix is formulated using the signal plus noise model, with preserved key performance indicators as the augmented matrix and the status data as the rest part of the matrix. On the basis of the tensor product, we put forward a dimension increasing method, which can detect and localize anomalies in real time, and is robust enough to cope with random disturbances and measurement errors. A case study with real-world low-dimensional datasets indicates that our proposed method can achieve a 4.45 times higher accuracy than the traditional RMT approach, which validates the feasibility to apply RMT to the anomaly detection of low-dimensional datasets.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"24 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":"117016946","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538884
Weikai Xu, Deqing Wang, Shaohua Hong, Lin Wang
In multiple sequences spread-spectrum (MSSS) system, multiple cyclic shifted spread sequences are superimposed to increase data rate, in which the first spread sequence is used as pilot for channel estimation and the remained spread sequences for carrying information bits. In this paper, a cyclic index modulation aided multiple sequences direct spread-spectrum system for underwater acoustic communication is proposed. In the proposed scheme, a part of spread sequences of the maximum number of available superimposed spread sequences, whose indexes are determined by extra information bits, are selected to spread phase shift keying (PSK) symbols. By comparing error performance of the proposed system and multiple sequences spread-spectrum system, results show that the proposed system can achieve obvious performance gains over time-frequency doubly selective fading channels and underwater acoustic channels.
{"title":"A Multiple Sequences Spread-Spectrum System with Cyclic Index Modulation for Underwater Acoustic Communication","authors":"Weikai Xu, Deqing Wang, Shaohua Hong, Lin Wang","doi":"10.1109/ICCCWorkshops52231.2021.9538884","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538884","url":null,"abstract":"In multiple sequences spread-spectrum (MSSS) system, multiple cyclic shifted spread sequences are superimposed to increase data rate, in which the first spread sequence is used as pilot for channel estimation and the remained spread sequences for carrying information bits. In this paper, a cyclic index modulation aided multiple sequences direct spread-spectrum system for underwater acoustic communication is proposed. In the proposed scheme, a part of spread sequences of the maximum number of available superimposed spread sequences, whose indexes are determined by extra information bits, are selected to spread phase shift keying (PSK) symbols. By comparing error performance of the proposed system and multiple sequences spread-spectrum system, results show that the proposed system can achieve obvious performance gains over time-frequency doubly selective fading channels and underwater acoustic channels.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"46 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":"128288314","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}
Pub Date : 2021-07-28DOI: 10.1109/ICCCWorkshops52231.2021.9538881
Yuanqiang Wang, Zhongyu Liu, Li-xin Guo
With the popularization of intelligent mobile terminals, the emerging high-speed data exchange services make MIMO become an important development direction, which poses new challenges to the planning and optimization of communication networks. In order to support the design and optimization of future MIMO communication system suitable for complex indoor environment, the deterministic channel model based on ray tracing method is used to calculate the impulse response of the receiving antenna of MIMO system, which provides a reliable support for the channel capacity estimation in this scenario. The simulation results show that the channel capacity of the MIMO system increases with the increase of the antenna density, the antenna array aperture and the SNR, or decreases with the decrease of the spatial correlation between multipaths.
{"title":"Research on MIMO Channel Capacity in Complex Indoor Environment Based on Deterministic Channel Model","authors":"Yuanqiang Wang, Zhongyu Liu, Li-xin Guo","doi":"10.1109/ICCCWorkshops52231.2021.9538881","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538881","url":null,"abstract":"With the popularization of intelligent mobile terminals, the emerging high-speed data exchange services make MIMO become an important development direction, which poses new challenges to the planning and optimization of communication networks. In order to support the design and optimization of future MIMO communication system suitable for complex indoor environment, the deterministic channel model based on ray tracing method is used to calculate the impulse response of the receiving antenna of MIMO system, which provides a reliable support for the channel capacity estimation in this scenario. The simulation results show that the channel capacity of the MIMO system increases with the increase of the antenna density, the antenna array aperture and the SNR, or decreases with the decrease of the spatial correlation between multipaths.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"205 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":"129362000","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}
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