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2023 32nd Wireless and Optical Communications Conference (WOCC)最新文献

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A Simplified Message Passing Detection Algorithm for Massive MIMO Systems 大规模MIMO系统中一种简化的消息传递检测算法
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10138945
Jing Ye, Jianing Zhao, Fei Xu
{"title":"A Simplified Message Passing Detection Algorithm for Massive MIMO Systems","authors":"Jing Ye, Jianing Zhao, Fei Xu","doi":"10.1109/WOCC58016.2023.10138945","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10138945","url":null,"abstract":"The original message passing detection (MPD) algorithm based on channel hardening theory has shown excellent performance in large-scale multiple-input multiple-output (MIMO) systems. However, with the increase of the numbers of users and modulation order, the high computation complexity of the original MPD algorithm is very unfriendly to hardware implementation. Therefore, this paper proposes a simplified MPD algorithm based on probability approximation, which is called MS-PA-MPD for short. This algorithm simplifies the calculation of log-likelihood ratio in original MPD algorithm, and eliminates many exponential and division operations. It also sorts and selects the symbol probabilities in each iteration. Only the constellation points with high symbol probabilities can be selected to update the probabilities, which greatly reduces the computation complexity. Moreover, an improved algorithm HMS-PA-MPD is proposed to solve the problem of MS-PA-MPD's performance degradation under higher-order modulation. Simulation results show that, for 16QAM, the performance loss of MS-PA-MPD can be almost ignored compared with the original MPD. Besides, the HMS-PA-MPD also shows good detection performance under higher-order modulation. Both of them greatly reduce the computation complexity and hardware overhead, and are especially suitable for large-scale MIMO systems.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"30 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133660830","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: 0
Phasor Analysis of the Symmetric Crisscrossed-assisted Coupled-Ring Reflector 对称交叉辅助耦合环反射器相量分析
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139652
Avram J. Gutierrez, B. Dingel, J. Maquiling, J. L. Dagohoy, David Jonas P. Bambalan
{"title":"Phasor Analysis of the Symmetric Crisscrossed-assisted Coupled-Ring Reflector","authors":"Avram J. Gutierrez, B. Dingel, J. Maquiling, J. L. Dagohoy, David Jonas P. Bambalan","doi":"10.1109/WOCC58016.2023.10139652","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139652","url":null,"abstract":"We investigate the general phasor characteristics of the recently reported crisscrossed coupled-ring reflector (X-CRR) and compare it with the typical coupled-ring reflector (CRR) configuration. We observe that they distinctly have different phasor features under arbitrary parameter conditions. We also (i) discuss the importance of normalized frequency range in generating the complete phasor picture of these configurations and (iii) show that in most cases the X-CRR appears to be a spread-out, rotated version of the phasor diagram of the CRR. These phasor features imply that X-CRR possesses more interesting functionalities for various potential telecom applications.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133127035","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
Deep Learning for the Detection of Emotion in Human Speech: The Impact of Audio Sample Duration and English versus Italian Languages 深度学习在人类语言中的情感检测:音频样本持续时间和英语与意大利语的影响
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139686
Alexander Wurst, Michael Hopwood, Sifan Wu, Fei Li, Yuan Yao
{"title":"Deep Learning for the Detection of Emotion in Human Speech: The Impact of Audio Sample Duration and English versus Italian Languages","authors":"Alexander Wurst, Michael Hopwood, Sifan Wu, Fei Li, Yuan Yao","doi":"10.1109/WOCC58016.2023.10139686","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139686","url":null,"abstract":"Identification of emotion types is important in the diagnosis and treatment of certain mental illnesses. This study uses audio data and deep learning methods such as convolutional neural networks (CNN) and long short-term memory (LSTM) to classify the emotion of human speech. We use the IEMOCAP and DEMoS datasets, consisting of English and Italian audio speech data in our experiments to classify speech into one of up to four emotions: angry, happy, neutral, and sad. The classification performance results demonstrate the effectiveness of the deep learning methods and our experiments yield between 62 and 92 percent classification accuracies. We specifically investigate the impact of the audio sample duration on the classification accuracy. In addition, we examine and compare the classification accuracy for English versus Italian languages.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126741155","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: 0
Joint Optimization of Flight Path and Power Allocation in A UAV Relay-assisted Communication System 无人机中继辅助通信系统航迹与功率分配联合优化
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139547
Lipei Liu, Rugui Yao, Ye Fan, Xiaoya Zuo, Juan Xu
{"title":"Joint Optimization of Flight Path and Power Allocation in A UAV Relay-assisted Communication System","authors":"Lipei Liu, Rugui Yao, Ye Fan, Xiaoya Zuo, Juan Xu","doi":"10.1109/WOCC58016.2023.10139547","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139547","url":null,"abstract":"Since the transmit power of the unmanned aerial vehicle (UAV) is limited, it exerts remarkable influence on the throughput of communication system. In view of this situation, this paper studies the two-hop UAV relay system, in which the UAV serves as a relay to decode and forward the information from source to destination. To maximize system throughput in the limited flight time, we jointly implement path optimization and power allocation of source/relay transmitters. For the optimization problem involved here is non-convex, we propose an efficient iterative algorithm, jointly considering the block coordinate descent method, the successive convex approximation technology, and the idea of introducing slack variables. The simulation results verify that this scheme significantly improves the system throughput compared with other two schemes where either power or path gets optimized only.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131282716","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: 0
Automatic modulation recognition of communication signal based on wavelet transform combined with singular value and NCA-CNN 基于小波变换结合奇异值和NCA-CNN的通信信号调制自动识别
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139354
Yixin Ding
{"title":"Automatic modulation recognition of communication signal based on wavelet transform combined with singular value and NCA-CNN","authors":"Yixin Ding","doi":"10.1109/WOCC58016.2023.10139354","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139354","url":null,"abstract":"In communication signal recognition, there are problems such as a tedious feature extraction process and low applicability of extracted features. This paper simulates wireless communication channels and suggests an algorithm that uses nearest neighbor component analysis (NCA) along with convolutional neural networks (CNN) for classification. The algorithm chooses wavelet entropy (WE), wavelet approximate energy ratio (WAER), and the first 2–4 singular values as the core features. Eight different forms of modulations, including GFSK, CPFSK, B-FM, DSB-AM, SSB-AM, BPSK, QPSK and PAM4 would be automatically classified using the technique. According to the experiment results, the average recognition accuracy for the eight signals is 93.6% when the signal-to-noise ratio is 30dB. In addition, this paper also discusses the results and accuracy of the model to identify 6 and 10 types of signal modulation and studies the accuracy of the recognition under different signal-to-noise ratios, verifying the robustness of the model.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"34 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132462042","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: 0
Enhancing 5G Core with Multi-Access Edge Computing 用多接入边缘计算增强5G核心
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139748
Ho-Cheng Lee, F. Lin, Jyh-cheng Chen, Chien-Han Chen, Patrick Wang
{"title":"Enhancing 5G Core with Multi-Access Edge Computing","authors":"Ho-Cheng Lee, F. Lin, Jyh-cheng Chen, Chien-Han Chen, Patrick Wang","doi":"10.1109/WOCC58016.2023.10139748","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139748","url":null,"abstract":"This research employs NYCU-developed open source 5G core network $boldsymbol{free5GC}$ and Intel open source edge computing platform OpenNESS to build a 5G private network. An online multi-person chorus application is then deployed on the edge platform to (1) achieve High Reliability and Low Latency Communication (URLLC) requirements, and (2) improve the backhaul bandwidth occupancy rate from the edge to the core network. In addition, this research implements the traffic influence function proposed in the 3GPP 5G standards, which can dynamically change traffic rules of the 5G core during execution, directing specific traffic to the edge applications in order to improve the performance of private networks. Finally, to verify the effectiveness of this schema, this research uses the example application deployed to compare the performance of the system equipped with edge computing with that without edge platform. Our analysis is done with both a physical RAN and the UERANSIM simulator.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128209111","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: 0
On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles 基于多智能体联合强化学习的车联网内容边缘缓存新方法
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139417
Yangbo Liu, Bomin Mao
{"title":"On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles","authors":"Yangbo Liu, Bomin Mao","doi":"10.1109/WOCC58016.2023.10139417","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139417","url":null,"abstract":"Driven by the emerging requirements of Internet of Vehicles (IoV), future vehicles are expected to have the ability to provide not only the autonomous driving services, but also the multimedia services for working and entertainment. The edge caching service enabled by the Road Side Units (RSUs) can complement the limited environment perceiving and computing ability of future vehicles to gather, pre-process, and cache the contents of driving assistance, work, and entertainments. In this paper, we use federated learning to learn the popularity variation tendency considering user preference in different districts and their concerns for privacy-preserving. We further split the possible contents into blocks and use completely cooperative multi-agent reinforcement learning based on Deep Q network to make a more flexible and accurate caching decision considering the various emergency levels and delay requirements of different contents. Numerical results demonstrate that the proposed method outperforms traditional caching strategies.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"2004 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127328095","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: 0
Photovoltaic Power Generation Prediction Based on In-Depth Learning for Smart Grid 基于深度学习的智能电网光伏发电预测
2023 32nd Wireless and Optical Communications Conference (WOCC) Pub Date : 2023-05-05 DOI: 10.1109/WOCC58016.2023.10139371
Zhengshi Wang, Yuyin Li, Anguo Wang, You Wu, T. Han, Yao Ge
{"title":"Photovoltaic Power Generation Prediction Based on In-Depth Learning for Smart Grid","authors":"Zhengshi Wang, Yuyin Li, Anguo Wang, You Wu, T. Han, Yao Ge","doi":"10.1109/WOCC58016.2023.10139371","DOIUrl":"https://doi.org/10.1109/WOCC58016.2023.10139371","url":null,"abstract":"With the continuous development of photovoltaic power generation technology, the problems of intermittence and randomness of photovoltaic power generation become prominent. Therefore, the connection of the photovoltaic system to the grid will impact the stability of the power system and power dispatching. If the photovoltaic power generation can be accurately predicted, it will improve the coordination of power generation of the photovoltaic system and the stability of the power grid after the system grid connection. In a photovoltaic system, there are many factors affecting photovoltaic power, and there are different algorithms for power prediction. In this paper, long short-term memory (LSTM) is used to predict the power generation of the photovoltaic power system. LSTM can learn the correlation features of the time series data without the problems of data gradient disappearance of the traditional recurrent neural network algorithm. The prediction results are then directly applied to the existing integrated photovoltaic power storage system. Through the experiments, it is verified that the prediction accuracy can reach higher than 98%.","PeriodicalId":226792,"journal":{"name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","volume":"30 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125819044","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
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