Orthogonal Time Frequency Space (OTFS) modulation is a recently proposed modulation pattern aiming to overcome problems in high mobility scenarios. Parameter learning, including both the Delay-Doppler(DD) domain and the Time-Frequency(TF) domain learning, is one of the most important research direction of OTFS. Rough parameter learning in the TF domain is preferred for its lower cost. In this paper, we proposed a Time-Frequency domain parameter learning scheme in Single-Input Single-Output OTFS (SISO-OTFS) scene. Firstly, the 2D uplink(UL) channel model and the received signal model are studied, where the problem is converted into a sparse estimation problem. Secondly, Fast Fourier Transform(FFT) is utilized to precisely estimate the doppler shift and the channel gain of each path. Thirdly, rough and accurate searches are applied to get a precise estimation of the doppler shift and time delay. With the proposed scheme, the estimation complexity is reduced, and the prior knowledge for more precise DD domain pilot design and channel estimation could be acquired.
{"title":"An SISO-OTFS Channel Parameter Learning Scheme in Time-Frequency Domain","authors":"Wentao Kan, Xiandeng He, Nan Chen","doi":"10.1145/3585967.3585978","DOIUrl":"https://doi.org/10.1145/3585967.3585978","url":null,"abstract":"Orthogonal Time Frequency Space (OTFS) modulation is a recently proposed modulation pattern aiming to overcome problems in high mobility scenarios. Parameter learning, including both the Delay-Doppler(DD) domain and the Time-Frequency(TF) domain learning, is one of the most important research direction of OTFS. Rough parameter learning in the TF domain is preferred for its lower cost. In this paper, we proposed a Time-Frequency domain parameter learning scheme in Single-Input Single-Output OTFS (SISO-OTFS) scene. Firstly, the 2D uplink(UL) channel model and the received signal model are studied, where the problem is converted into a sparse estimation problem. Secondly, Fast Fourier Transform(FFT) is utilized to precisely estimate the doppler shift and the channel gain of each path. Thirdly, rough and accurate searches are applied to get a precise estimation of the doppler shift and time delay. With the proposed scheme, the estimation complexity is reduced, and the prior knowledge for more precise DD domain pilot design and channel estimation could be acquired.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115329249","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}
In the era of big data, the level of IoT technology is improving and gradually being used in various fields, including the construction of smart cities. China's smart city construction has entered a new stage, and the application of new generation information technology such as Internet of Things, cloud computing, and Internet is affecting the construction of smart city all the time, however, the application of Internet of Things is uneven. This article firstly elaborates the construction significance and construction target of smart city, and then analyzes how to integrate and apply IoT technology to it. And this paper gets the hierarchical relationship of different influencing factors by Boolean rules, and comes up with seven key factors: policy support, low standardization, insufficient network security guarantee capability, operation and operation insufficient maintenance capability, single investment and financing channel, insufficient publicity and depth, and urban planning, among which, organization, policy and technology are the core elements, which influence the development of other elements. Finally, this paper points out the next development direction of smart cities, aiming to be able to provide valuable reference for related fields in this way.
{"title":"Research on the Internet of Things Technology Applied in the Construction of Smart City","authors":"Yongtang Wu","doi":"10.1145/3585967.3585977","DOIUrl":"https://doi.org/10.1145/3585967.3585977","url":null,"abstract":"In the era of big data, the level of IoT technology is improving and gradually being used in various fields, including the construction of smart cities. China's smart city construction has entered a new stage, and the application of new generation information technology such as Internet of Things, cloud computing, and Internet is affecting the construction of smart city all the time, however, the application of Internet of Things is uneven. This article firstly elaborates the construction significance and construction target of smart city, and then analyzes how to integrate and apply IoT technology to it. And this paper gets the hierarchical relationship of different influencing factors by Boolean rules, and comes up with seven key factors: policy support, low standardization, insufficient network security guarantee capability, operation and operation insufficient maintenance capability, single investment and financing channel, insufficient publicity and depth, and urban planning, among which, organization, policy and technology are the core elements, which influence the development of other elements. Finally, this paper points out the next development direction of smart cities, aiming to be able to provide valuable reference for related fields in this way.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129206821","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}
Abstract—Since the beginning of the modern era of wireless communication, the propagation medium has been considered a randomly behaving entity between transmitter and receiver, which degrades the quality of the received signal due to the uncontrollable interaction between the transmitted radio waves and the propagation medium. In 5G systems, in order to obtain higher spectrum efficiency, multiple-input multiple-output (MIMO) is introduced. When MIMO is applied in a multi-cell scenario, inter-cell interference will inevitably deteriorate the quality of service (QoS) of cell edge users. For a cell-edge user that suffers both high signal attenuation from its serving Base Station(BS) and severe co-channel interference from a neighboring BS, an Reconfigurable intelligent surfaces (RIS) can be deployed at the cell edge to help not only improve the desired signal power but also suppress the interference by properly designing its reflect beamforming, thus creating a “signal hotspot” as well as “interference-free zone” in its vicinity. The presence of RIS provides the possibility for different communication needs between multiple devices. This paper proposes a multi-objective optimization method based on non-dominated sorting genetic algorithm II(NSGAII) to improve the achievable rate of communication users while reducing interference to non-communication users.
{"title":"Rate Optimization and Interference Suppression in RIS-assisted MIMO Systems","authors":"Junwei Chai, Yunhui Yi, Xiandeng He, Zicheng Xing, Yuanxinyu Luo, Xingcai Zhang","doi":"10.1145/3585967.3585985","DOIUrl":"https://doi.org/10.1145/3585967.3585985","url":null,"abstract":"Abstract—Since the beginning of the modern era of wireless communication, the propagation medium has been considered a randomly behaving entity between transmitter and receiver, which degrades the quality of the received signal due to the uncontrollable interaction between the transmitted radio waves and the propagation medium. In 5G systems, in order to obtain higher spectrum efficiency, multiple-input multiple-output (MIMO) is introduced. When MIMO is applied in a multi-cell scenario, inter-cell interference will inevitably deteriorate the quality of service (QoS) of cell edge users. For a cell-edge user that suffers both high signal attenuation from its serving Base Station(BS) and severe co-channel interference from a neighboring BS, an Reconfigurable intelligent surfaces (RIS) can be deployed at the cell edge to help not only improve the desired signal power but also suppress the interference by properly designing its reflect beamforming, thus creating a “signal hotspot” as well as “interference-free zone” in its vicinity. The presence of RIS provides the possibility for different communication needs between multiple devices. This paper proposes a multi-objective optimization method based on non-dominated sorting genetic algorithm II(NSGAII) to improve the achievable rate of communication users while reducing interference to non-communication users.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116486466","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}
Abstract—In the wireless communication system, due to the complexity of the physical channel, the amplitude of the signal received by the wireless receiver often fluctuates wildly, which will increase the bit error rate of signal demodulation. Therefore, the automatic gain control (AGC) is an essential part of the wireless receiver, which can adaptively adjust the gain of each part of the receiver and provide a stable input for the subsequent circuit. Artificial intelligence technology has developed, and reinforcement learning in signal processing has received extensive attention. This paper proposes a gain automatic control method based on Q-learning in the zero-IF receiver, which uses the Q-learning model to learn the characteristics of signal amplitude changes to adjust the speed of the gain adjustment and to track the signal changes more accurately. The simulation results show that the AGC proposed in this paper is more stable than the traditional AGC without Q-learning and can quickly compensate for significant changes in Orthogonal Frequency Division Multiplexing (OFDM) signals.
{"title":"Automatic Gain Control of Wireless Receiver Based on Q-Learning","authors":"Shuo Yang, Yunhui Yi, Xiandeng He, Junwei Chai","doi":"10.1145/3585967.3585969","DOIUrl":"https://doi.org/10.1145/3585967.3585969","url":null,"abstract":"Abstract—In the wireless communication system, due to the complexity of the physical channel, the amplitude of the signal received by the wireless receiver often fluctuates wildly, which will increase the bit error rate of signal demodulation. Therefore, the automatic gain control (AGC) is an essential part of the wireless receiver, which can adaptively adjust the gain of each part of the receiver and provide a stable input for the subsequent circuit. Artificial intelligence technology has developed, and reinforcement learning in signal processing has received extensive attention. This paper proposes a gain automatic control method based on Q-learning in the zero-IF receiver, which uses the Q-learning model to learn the characteristics of signal amplitude changes to adjust the speed of the gain adjustment and to track the signal changes more accurately. The simulation results show that the AGC proposed in this paper is more stable than the traditional AGC without Q-learning and can quickly compensate for significant changes in Orthogonal Frequency Division Multiplexing (OFDM) signals.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134181285","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}
An intelligent border system measurement scheme based on ultrasonic sensing technology is designed in this paper. The measurement scheme is composed of the sensing detection module and the data processing module, where the main sensing detection module is the outdoor sensor probe, which is mainly composed of the network controller, the network management module, the sensor and the sensor interface. The system measurement scheme mainly uses ultrasonic sensors and intelligent video for comprehensive perception of the perimeter area. Signal detection is completed through signal acquisition, analysis and processing of the detection area, and then through computer data processing, through intrusion positioning, so as to realize the all-weather intelligent monitoring of the perimeter area. CCS CONCEPTS •Computer systems organization ∼ Embedded and cyber-physical systems ∼ Sensor networks Key words—Ultrasonic, Sensing technology, Border System
{"title":"Design of border security system based on ultrasonic technology and video linkage","authors":"Youcheng Liang","doi":"10.1145/3585967.3585986","DOIUrl":"https://doi.org/10.1145/3585967.3585986","url":null,"abstract":"An intelligent border system measurement scheme based on ultrasonic sensing technology is designed in this paper. The measurement scheme is composed of the sensing detection module and the data processing module, where the main sensing detection module is the outdoor sensor probe, which is mainly composed of the network controller, the network management module, the sensor and the sensor interface. The system measurement scheme mainly uses ultrasonic sensors and intelligent video for comprehensive perception of the perimeter area. Signal detection is completed through signal acquisition, analysis and processing of the detection area, and then through computer data processing, through intrusion positioning, so as to realize the all-weather intelligent monitoring of the perimeter area. CCS CONCEPTS •Computer systems organization ∼ Embedded and cyber-physical systems ∼ Sensor networks Key words—Ultrasonic, Sensing technology, Border System","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114713009","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}
Intelligent reflective surface (IRS) technology, as a promising technology, can enhance the communication quality of traditional communication systems. It is very necessary to design an effective channel estimation scheme, which is the basis for IRS to adjust the amplitude and phase of the incident signal. In this paper, the denoising autoencoder (DAE) is used to solve the channel estimation problem of IRS-assisted uplink millimeter wave channel from the user to the base station (BS). The two-stage channel model of user-IRS-BS can not be directly processed by deep learning networks. Therefore, in the channel modeling part, the original channel is unified into a cascaded channel, and the problem of channel estimation is transformed into the problem of restoring undersampled signals. In the part of network model training, an end-to-end channel estimation scheme based on stacked DAE is proposed. A group of orthogonal pilot signals received by BS is the input, and the channel state information (CSI) is the output. When the normalized mean square error of the output CSI and the original CSI is minimum,the training ends and the weight matrix model including the data hiding relationship is trained. In this paper, the training and verification of the channel estimation scheme is completed based on the self-simulated channel model data set. Simulation and performance evaluation show that our scheme is superior to several traditional schemes and a classical scheme based on deep learning, which confirms its superiority.
{"title":"Sparse Channel Estimation for IRS-Assisted Communication System Based on Denoising Autoencoder","authors":"Yuanxinyu Luo, Yunhui Yi, Xiandeng He, Jiahui Hao","doi":"10.1145/3585967.3585981","DOIUrl":"https://doi.org/10.1145/3585967.3585981","url":null,"abstract":"Intelligent reflective surface (IRS) technology, as a promising technology, can enhance the communication quality of traditional communication systems. It is very necessary to design an effective channel estimation scheme, which is the basis for IRS to adjust the amplitude and phase of the incident signal. In this paper, the denoising autoencoder (DAE) is used to solve the channel estimation problem of IRS-assisted uplink millimeter wave channel from the user to the base station (BS). The two-stage channel model of user-IRS-BS can not be directly processed by deep learning networks. Therefore, in the channel modeling part, the original channel is unified into a cascaded channel, and the problem of channel estimation is transformed into the problem of restoring undersampled signals. In the part of network model training, an end-to-end channel estimation scheme based on stacked DAE is proposed. A group of orthogonal pilot signals received by BS is the input, and the channel state information (CSI) is the output. When the normalized mean square error of the output CSI and the original CSI is minimum,the training ends and the weight matrix model including the data hiding relationship is trained. In this paper, the training and verification of the channel estimation scheme is completed based on the self-simulated channel model data set. Simulation and performance evaluation show that our scheme is superior to several traditional schemes and a classical scheme based on deep learning, which confirms its superiority.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125651570","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}
People convey their emotions and thoughts through words, the medium of human thoughts. Up against the vigorous development of streaming media, the calculation of text similarity is imperative in the field of natural language processing. Any text-related field is inseparable from text semantic similarity. The calculation of text semantic similarity plays a key role in document management, document classification, and document relevance. Besides, popular natural language processing tasks in some trendy fields, such as artificial intelligence, human-machine translation, problem system, intelligent chat system, and nomenclature recognition, are intertwined with text semantic similarity calculation. In recent years, many excellent researchers have studied the algorithms and models of text semantic similarity from different dimensions. In this paper, a new short-text cosine similarity calculation model of the BERT-based Siamese network is proposed.
{"title":"Short-Text Semantic Similarity Model of BERT-Based Siamese Network","authors":"Haoyu Jiang","doi":"10.1145/3585967.3585994","DOIUrl":"https://doi.org/10.1145/3585967.3585994","url":null,"abstract":"People convey their emotions and thoughts through words, the medium of human thoughts. Up against the vigorous development of streaming media, the calculation of text similarity is imperative in the field of natural language processing. Any text-related field is inseparable from text semantic similarity. The calculation of text semantic similarity plays a key role in document management, document classification, and document relevance. Besides, popular natural language processing tasks in some trendy fields, such as artificial intelligence, human-machine translation, problem system, intelligent chat system, and nomenclature recognition, are intertwined with text semantic similarity calculation. In recent years, many excellent researchers have studied the algorithms and models of text semantic similarity from different dimensions. In this paper, a new short-text cosine similarity calculation model of the BERT-based Siamese network is proposed.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129265056","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}
The localization and tracking capabilities of binary sensors can be significantly enhanced by associating sensor nodes with modulators. The addition of modulators segments the detection area into subregions, called signature cells. While much of the related research focuses on modulator design and sensor data processing, there are few studies on the optimum number of cells, especially when considering small area cells with small area variances. This paper studies the optimum number of cells for varying numbers of per-sensor modulators under a placement scenario that produces signature cells with small area variances. We first derive the optimum number of signature cells and find necessary and sufficient conditions under which the maximum is achieved. We then focus on the sensors’ spatial awareness and deduct the conditions under which maximal spatial awareness is achieved. Finally, we study the asymptotic behavior of the individual cells’ areas in terms of the number of modulators. Our study can guide researchers in enhancing the tracking and localization precision of applications and improve the spatial awareness of sensors.
{"title":"Optimizing the Number and Size of Signature Cells in a Modulated Sensor System","authors":"A. Olteanu","doi":"10.1145/3585967.3585970","DOIUrl":"https://doi.org/10.1145/3585967.3585970","url":null,"abstract":"The localization and tracking capabilities of binary sensors can be significantly enhanced by associating sensor nodes with modulators. The addition of modulators segments the detection area into subregions, called signature cells. While much of the related research focuses on modulator design and sensor data processing, there are few studies on the optimum number of cells, especially when considering small area cells with small area variances. This paper studies the optimum number of cells for varying numbers of per-sensor modulators under a placement scenario that produces signature cells with small area variances. We first derive the optimum number of signature cells and find necessary and sufficient conditions under which the maximum is achieved. We then focus on the sensors’ spatial awareness and deduct the conditions under which maximal spatial awareness is achieved. Finally, we study the asymptotic behavior of the individual cells’ areas in terms of the number of modulators. Our study can guide researchers in enhancing the tracking and localization precision of applications and improve the spatial awareness of sensors.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130946437","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}
Jun Wu, Zehao Chen, Haoyu Liang, Zehao Chen, Jia Zhang, Jipeng Gan, Jian-Duo He
Cooperative spectrum sensing (CSS) has been a crucial function of cognitive radio (CR) technology to identify the unused spectrum for growing wireless devices and applications. Nevertheless, the openness of CSS paradigm results in that the CR network suffers from Byzantine attack, thereby significantly degrading the CSS performance. To mitigate the adverse effect of Byzantine attack, we conduct out a Byzantine attack model from malicious perspective. Considering that Byzantine attack can make the fusion center (FC) blind, we propose a sequential single voting (SSV) rule to implement the sensing information fusion for CSS. To this aim, a trust value (Trv) mechanism based on interactive evaluation is formulated to measure the reliability of sensing information from secondary users (SUs). Moreover, a pair of tolerance threshold is also taken into account to suppress Byzantine attack, with aiming to make selectively use of sensing information from malicious users (MUs). Meanwhile, we are motivated by the single sign and sequential idea to further enhance the CSS efficiency. In contrast to the existing voting rules, simulation results show that the proposed SSV requires less fewer samples to provide with a better accuracy, especially in the presence of Byzantine attack.
{"title":"Sequential Single Voting for Cooperative Spectrum Sensing Against Byzantine Attack","authors":"Jun Wu, Zehao Chen, Haoyu Liang, Zehao Chen, Jia Zhang, Jipeng Gan, Jian-Duo He","doi":"10.1145/3585967.3585968","DOIUrl":"https://doi.org/10.1145/3585967.3585968","url":null,"abstract":"Cooperative spectrum sensing (CSS) has been a crucial function of cognitive radio (CR) technology to identify the unused spectrum for growing wireless devices and applications. Nevertheless, the openness of CSS paradigm results in that the CR network suffers from Byzantine attack, thereby significantly degrading the CSS performance. To mitigate the adverse effect of Byzantine attack, we conduct out a Byzantine attack model from malicious perspective. Considering that Byzantine attack can make the fusion center (FC) blind, we propose a sequential single voting (SSV) rule to implement the sensing information fusion for CSS. To this aim, a trust value (Trv) mechanism based on interactive evaluation is formulated to measure the reliability of sensing information from secondary users (SUs). Moreover, a pair of tolerance threshold is also taken into account to suppress Byzantine attack, with aiming to make selectively use of sensing information from malicious users (MUs). Meanwhile, we are motivated by the single sign and sequential idea to further enhance the CSS efficiency. In contrast to the existing voting rules, simulation results show that the proposed SSV requires less fewer samples to provide with a better accuracy, especially in the presence of Byzantine attack.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134525962","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}
With the development of mobile network technology, 5G mobile multimedia has greatly increased the application and popularity of mobile networks. In particular, the emergence of video, shopping and numerous mobile applications has facilitated the development of 5G mobile multimedia. At the same time, network users continue to pursue a better user experience and put forward better requirements for mobile network communications. 5G mobile communication networks have emerged to meet the needs of users and are an inevitable result and trend in the development of mobile communication networks. This paper introduces the definition of 5G network and multimedia technology, and provides a detailed introduction to multimedia technology, then introduces the multi-network data path of 5G multimedia, focusing on the exploration of the multi-network data path of 5G multimedia, reflecting the great impact of 5G technology on the development of science and technology. Explore the multi-network data path of 5G mobile multimedia for an effective path to seek a better development space.
{"title":"Research on Multi-network Data Paths for 5G Mobile Multimedia","authors":"Wenwen Fan","doi":"10.1145/3585967.3585980","DOIUrl":"https://doi.org/10.1145/3585967.3585980","url":null,"abstract":"With the development of mobile network technology, 5G mobile multimedia has greatly increased the application and popularity of mobile networks. In particular, the emergence of video, shopping and numerous mobile applications has facilitated the development of 5G mobile multimedia. At the same time, network users continue to pursue a better user experience and put forward better requirements for mobile network communications. 5G mobile communication networks have emerged to meet the needs of users and are an inevitable result and trend in the development of mobile communication networks. This paper introduces the definition of 5G network and multimedia technology, and provides a detailed introduction to multimedia technology, then introduces the multi-network data path of 5G multimedia, focusing on the exploration of the multi-network data path of 5G multimedia, reflecting the great impact of 5G technology on the development of science and technology. Explore the multi-network data path of 5G mobile multimedia for an effective path to seek a better development space.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126764777","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：