Pub Date : 2019-05-09DOI: 10.1109/WOCC.2019.8770566
Jianxin Li, Honggang Yin, Xiaoyan Zhang
This paper is about the satellite communication and focused on compatibility study between non-geostationary fixed-satellite service systems and Earth-exploration satellite service (passive) systems. It mainly carried out the analysis of the nearby band interferences to geostationary passive sensors in the Earth-exploration satellite service in the 50.2-50.4 GHz frequency band that may occur from the fixed-satellite service systems in the 47.2-50.2GHz and 50.4-51.4 GHz frequency band in low Earth orbit and medium Earth orbit respectively. The research made the conclusion that the avoidance angle as a possible interference mitigation technique could be used between the non-geostationary fixed-satellite service systems and the geostationary Earth-exploration satellite service systems. The result shows that, in order to achieve the compatibility in the same frequency band, the geostationary avoidance angle for the non-geostationary fixed-satellite service earth stations should not be less than 10°.
{"title":"0Satellite communication used in the non-geostationary Fixed-satellite service systems and Earth-exploration satellite service (passive) systems","authors":"Jianxin Li, Honggang Yin, Xiaoyan Zhang","doi":"10.1109/WOCC.2019.8770566","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770566","url":null,"abstract":"This paper is about the satellite communication and focused on compatibility study between non-geostationary fixed-satellite service systems and Earth-exploration satellite service (passive) systems. It mainly carried out the analysis of the nearby band interferences to geostationary passive sensors in the Earth-exploration satellite service in the 50.2-50.4 GHz frequency band that may occur from the fixed-satellite service systems in the 47.2-50.2GHz and 50.4-51.4 GHz frequency band in low Earth orbit and medium Earth orbit respectively. The research made the conclusion that the avoidance angle as a possible interference mitigation technique could be used between the non-geostationary fixed-satellite service systems and the geostationary Earth-exploration satellite service systems. The result shows that, in order to achieve the compatibility in the same frequency band, the geostationary avoidance angle for the non-geostationary fixed-satellite service earth stations should not be less than 10°.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128793926","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 : 2019-05-09DOI: 10.1109/WOCC.2019.8770607
J. Qiu, Y. Chen, Xiaomei Zhang, Q. Liu, W. Li, Y. Pei, L. Liu
The Internet of Vehicles (IoV) is changing the smart life on the wheels through multiple interactions among vehicle, road, people and network, providing a safer, more efficient and more energy-efficient driving experience. This paper introduces the standardization process of V2X and summarizes the key technologies of LTE-V2X. Additionally, two typical use case solutions of IoV are proposed, including remote driving and platooning.
{"title":"Standardization Evolution and Typical Solutions of IoV","authors":"J. Qiu, Y. Chen, Xiaomei Zhang, Q. Liu, W. Li, Y. Pei, L. Liu","doi":"10.1109/WOCC.2019.8770607","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770607","url":null,"abstract":"The Internet of Vehicles (IoV) is changing the smart life on the wheels through multiple interactions among vehicle, road, people and network, providing a safer, more efficient and more energy-efficient driving experience. This paper introduces the standardization process of V2X and summarizes the key technologies of LTE-V2X. Additionally, two typical use case solutions of IoV are proposed, including remote driving and platooning.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131126111","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 : 2019-05-09DOI: 10.1109/WOCC.2019.8770569
Yuefan Xu, Li Ma, Wendong Xiao
Unlabeled samples are often readily available in our daily lives. However, valuable information contained in a large number of unlabeled samples tends to be ignored by general supervised learning models. To make full use of unlabeled samples, we propose a novel framework that combines active learning with semi-supervised learning. On one hand, we expect to label as few samples as possible while achieving guaranteed classification performance, hence it's of vital importance to design a specific active learning strategy to select only the most valuable batch of samples for expert labeling. On the other hand, the introduction of distribution information in unlabeled sample pool will bring great benefits to the model. Both labeled samples and unlabeled samples can be used for training semi-supervised classification model. In this paper, uncertainty-based active learning and manifold-based semi-supervised learning are integrated into our framework. Extreme learning machine (ELM) is adopted as our base classifier. Moreover, a novel uncertainty criterion, called Bell-Function-based uncertainty, is proposed for active learning selection for the first time. Empirical results on six public benchmark datasets show that our algorithm produces better performance in comparison with other approaches.
{"title":"Active Learning with Spatial Distribution based Semi-Supervised Extreme Learning Machine for Multiclass Classification","authors":"Yuefan Xu, Li Ma, Wendong Xiao","doi":"10.1109/WOCC.2019.8770569","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770569","url":null,"abstract":"Unlabeled samples are often readily available in our daily lives. However, valuable information contained in a large number of unlabeled samples tends to be ignored by general supervised learning models. To make full use of unlabeled samples, we propose a novel framework that combines active learning with semi-supervised learning. On one hand, we expect to label as few samples as possible while achieving guaranteed classification performance, hence it's of vital importance to design a specific active learning strategy to select only the most valuable batch of samples for expert labeling. On the other hand, the introduction of distribution information in unlabeled sample pool will bring great benefits to the model. Both labeled samples and unlabeled samples can be used for training semi-supervised classification model. In this paper, uncertainty-based active learning and manifold-based semi-supervised learning are integrated into our framework. Extreme learning machine (ELM) is adopted as our base classifier. Moreover, a novel uncertainty criterion, called Bell-Function-based uncertainty, is proposed for active learning selection for the first time. Empirical results on six public benchmark datasets show that our algorithm produces better performance in comparison with other approaches.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129789462","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 : 2019-05-09DOI: 10.1109/WOCC.2019.8770582
Waleed Almughalles, Rong Chai, Junliang Lin, Ahmad Zubair
Multi-access edge computing (MEC) is a promising platform for cellular heterogeneous networks (HetNets). It brings the computation services of the core cloud into the nearest point of mobile devices (MDs). This paper jointly studies the problem of computation offloading and cell selection strategies in MEC-enabled HetNets under the assumption that MD can select one of the three ways to execute its task, i.e., complete local computing mode, complete MEC computing mode or partial computing mode. The problem of joint computation offloading and cell selection is formulated as a task execution latency minimization problem. This formulated optimization situation is NP-Hard, which is inconvenient to solve. Hence, we deduce the problem into two subproblems which is computation offloading subproblem and cell selection subproblem and propose extensive search method and Khun-Munkres algorithm respectively to obtain the optimal solution. Numerical results show the efficacy of our proposed algorithm.
{"title":"Task Execution Latency Minimization-based Joint Computation Offloading and Cell Selection for MEC-Enabled HetNets","authors":"Waleed Almughalles, Rong Chai, Junliang Lin, Ahmad Zubair","doi":"10.1109/WOCC.2019.8770582","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770582","url":null,"abstract":"Multi-access edge computing (MEC) is a promising platform for cellular heterogeneous networks (HetNets). It brings the computation services of the core cloud into the nearest point of mobile devices (MDs). This paper jointly studies the problem of computation offloading and cell selection strategies in MEC-enabled HetNets under the assumption that MD can select one of the three ways to execute its task, i.e., complete local computing mode, complete MEC computing mode or partial computing mode. The problem of joint computation offloading and cell selection is formulated as a task execution latency minimization problem. This formulated optimization situation is NP-Hard, which is inconvenient to solve. Hence, we deduce the problem into two subproblems which is computation offloading subproblem and cell selection subproblem and propose extensive search method and Khun-Munkres algorithm respectively to obtain the optimal solution. Numerical results show the efficacy of our proposed algorithm.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116314626","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}
As a new paradigm providing economic and low latency network, Fog computing can provide storage and computational capabilities to the electrical users. Since the Ubiquitous Smart Grid environment is complex and dynamic, it is an important problem for electrical provider to allocate the non-infinite electrical computing resources of nodes to reach an optimal and state performance. To maximum the benefits and resource utilization while satisfying users requests, it is essential for service provider to allocate resources adaptively for different conditions. In this paper, we propose a dynamic resource optimization allocation framework for the problem of Fog resource allocation for Ubiquitous Smart Grid. A dynamic differential game model is modeled and analyzed to solve the independent optimization. The experiments results support a theoretical foundation that can help service provider make the optimal dynamic strategies when users change their strategies.
{"title":"A Dynamic Game Model for Resource Allocation in Fog Computing for Ubiquitous Smart Grid","authors":"Zhi Li, Yanzhu Liu, Rui Xin, Lifang Gao, Xueying Ding, Yu-bo Hu","doi":"10.1109/WOCC.2019.8770573","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770573","url":null,"abstract":"As a new paradigm providing economic and low latency network, Fog computing can provide storage and computational capabilities to the electrical users. Since the Ubiquitous Smart Grid environment is complex and dynamic, it is an important problem for electrical provider to allocate the non-infinite electrical computing resources of nodes to reach an optimal and state performance. To maximum the benefits and resource utilization while satisfying users requests, it is essential for service provider to allocate resources adaptively for different conditions. In this paper, we propose a dynamic resource optimization allocation framework for the problem of Fog resource allocation for Ubiquitous Smart Grid. A dynamic differential game model is modeled and analyzed to solve the independent optimization. The experiments results support a theoretical foundation that can help service provider make the optimal dynamic strategies when users change their strategies.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116714924","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 : 2019-05-09DOI: 10.1109/WOCC.2019.8770527
Rui Xu, D. Guo, Bangning Zhang, K. Guo, Cheng Li
In this paper, we investigate the secrecy performance of hybrid satellite terrestrial relay networks (HSTRN) with multiple eavesdroppers, particularly, all nodes in the networks are equipped with single antenna, respectively. In addition, we propose two selection schemes in the networks, namely, Case I, which means choosing the larger secrecy capacity among Satellite-Relay and Relay-Destination; Case II, which is choosing the lower secrecy capacity among Satellite-Relay and Relay-Destination. Furthermore, we derive the closed-form expressions for the secrecy outage probability (SOP) of the HSTRN based on the proposed two selection schemes, which provide a fast means to evaluate the impact of system parameters and selection schemes on the secrecy system performance. In order to study the impact of system parameters and selection schemes at high SNRs, we obtain the asymptotic expressions of the SOP of the HSTRN. Finally, in order to verify the accuracy of the analysis described in this paper, simulation results are given.
{"title":"Secrecy Performance Analysis for Hybrid Satellite Terrestrial Relay Networks with Multiple Eavesdroppers","authors":"Rui Xu, D. Guo, Bangning Zhang, K. Guo, Cheng Li","doi":"10.1109/WOCC.2019.8770527","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770527","url":null,"abstract":"In this paper, we investigate the secrecy performance of hybrid satellite terrestrial relay networks (HSTRN) with multiple eavesdroppers, particularly, all nodes in the networks are equipped with single antenna, respectively. In addition, we propose two selection schemes in the networks, namely, Case I, which means choosing the larger secrecy capacity among Satellite-Relay and Relay-Destination; Case II, which is choosing the lower secrecy capacity among Satellite-Relay and Relay-Destination. Furthermore, we derive the closed-form expressions for the secrecy outage probability (SOP) of the HSTRN based on the proposed two selection schemes, which provide a fast means to evaluate the impact of system parameters and selection schemes on the secrecy system performance. In order to study the impact of system parameters and selection schemes at high SNRs, we obtain the asymptotic expressions of the SOP of the HSTRN. Finally, in order to verify the accuracy of the analysis described in this paper, simulation results are given.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114521301","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 : 2019-05-09DOI: 10.1109/WOCC.2019.8770558
G. He, Chenjiang Guo, Jun Ding
A metamaterial-based broadband and high gain antenna is proposed and analysed in this paper. The proposed antenna is mainly made up of a 4×4 mushroom-cells array. We use a microstrip line through a rectangular slot cut on the ground plane to feed the antenna. Then, we use the transmission-line model to explain the resonant principle of the proposed antenna. With the parameters optimization, the dielectric-filled mushroom antenna is with a ground plane of 60×60mm and a low profile of 0.05λ0 (λ0 is the operating wavelength in free space). The simulated impedance bandwidth of the proposed antenna is 30.2% (4.33-5.88 GHz). Moreover, the antenna can achieve a high gain variation (7.1-9.8 dBi) and good cross-polarization levels.
{"title":"Miniaturized Broadband Slot-Coupled Antenna With Metamaterial Loading","authors":"G. He, Chenjiang Guo, Jun Ding","doi":"10.1109/WOCC.2019.8770558","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770558","url":null,"abstract":"A metamaterial-based broadband and high gain antenna is proposed and analysed in this paper. The proposed antenna is mainly made up of a 4×4 mushroom-cells array. We use a microstrip line through a rectangular slot cut on the ground plane to feed the antenna. Then, we use the transmission-line model to explain the resonant principle of the proposed antenna. With the parameters optimization, the dielectric-filled mushroom antenna is with a ground plane of 60×60mm and a low profile of 0.05λ0 (λ0 is the operating wavelength in free space). The simulated impedance bandwidth of the proposed antenna is 30.2% (4.33-5.88 GHz). Moreover, the antenna can achieve a high gain variation (7.1-9.8 dBi) and good cross-polarization levels.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130140419","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 : 2019-05-09DOI: 10.1109/WOCC.2019.8770601
Juan Zhang, Zhonggui Ma, Nuerxiati Nuermaimaiti
Pedestrian detection, as a special kind of target detection, is a research hotspot in the field of image processing and computer vision. Because monocular vision cannot obtain the depth information of the image, it cannot meet the accuracy requirements of pedestrian detection. In order to solve these problems, a new cascading pedestrian detection model based on PSMNet binocular information fusion and improved faster R-CNN pedestrian detection model is proposed. Firstly, binocular images are fed into the original PSMNet binocular information fusion module to get the disparity map, and then left and right images are fused by the disparity map to get the fusion image. Secondly, in the improved faster R-CNN pedestrian detection module, the left, right and fusion image of one frame are as separate inputs, and pedestrian detection is carried out respectively. Finally, the detection results of the three channels are passed through the target consistency validation module, and the verified pedestrian detection target is as the final output detection result. The simulation results show that the accuracy and recall rate of the cascading model are improved, the missed detection rate is reduced to 13.42%, and the accuracy rate is 88.58%.
{"title":"A Pedestrian Detection Model Based on Binocular Information Fusion","authors":"Juan Zhang, Zhonggui Ma, Nuerxiati Nuermaimaiti","doi":"10.1109/WOCC.2019.8770601","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770601","url":null,"abstract":"Pedestrian detection, as a special kind of target detection, is a research hotspot in the field of image processing and computer vision. Because monocular vision cannot obtain the depth information of the image, it cannot meet the accuracy requirements of pedestrian detection. In order to solve these problems, a new cascading pedestrian detection model based on PSMNet binocular information fusion and improved faster R-CNN pedestrian detection model is proposed. Firstly, binocular images are fed into the original PSMNet binocular information fusion module to get the disparity map, and then left and right images are fused by the disparity map to get the fusion image. Secondly, in the improved faster R-CNN pedestrian detection module, the left, right and fusion image of one frame are as separate inputs, and pedestrian detection is carried out respectively. Finally, the detection results of the three channels are passed through the target consistency validation module, and the verified pedestrian detection target is as the final output detection result. The simulation results show that the accuracy and recall rate of the cascading model are improved, the missed detection rate is reduced to 13.42%, and the accuracy rate is 88.58%.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116703852","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 digitalization of the healthcare system has resulted in a huge amount of data in medicine. These data help healthcare organizations improve health-process efficiency, enhance healthcare quality, and reduce healthcare cost. In Thailand, several private hospitals obtain numerous benefits by utilizing big data analytics. However, public hospitals might encounter with some difficulties for implementing big data technology. This paper presents challenges of big data implementation in a case study public hospital. According to the analysis, challenges are discussed in aspects of technology, data, human, and organization. The recommendation for implementing big data is proposed as a guideline for big data implementation in the public hospital.
{"title":"Challenges of Big Data Implementation in a Public Hospital","authors":"Wasinee Noonpakdee, Acharaphun Phothichai, Thitiporn Khunkornsiri","doi":"10.1109/WOCC.2019.8770562","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770562","url":null,"abstract":"The digitalization of the healthcare system has resulted in a huge amount of data in medicine. These data help healthcare organizations improve health-process efficiency, enhance healthcare quality, and reduce healthcare cost. In Thailand, several private hospitals obtain numerous benefits by utilizing big data analytics. However, public hospitals might encounter with some difficulties for implementing big data technology. This paper presents challenges of big data implementation in a case study public hospital. According to the analysis, challenges are discussed in aspects of technology, data, human, and organization. The recommendation for implementing big data is proposed as a guideline for big data implementation in the public hospital.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114649512","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 large-scale integrated circuits and Internet, 5G has become the hot topic of current mobile communication. Device-to-device communication (D2D) is one of the key technologies of 5G. In this paper, considering the in-band communication, we use the Poisson cluster process (PCP) to model and analyze the heterogeneous cellular and D2D networks. Firstly, we use the Thomas cluster process to model cellular users and D2D users. Secondly, we analyze the aggregated interference of the typical D2D receiver in the heterogeneous cellular and D2D networks. Then we analyze the Laplace transform of the aggregated interference and deduce the coverage probability of the typical D2D receiver. Simulation results show that the path loss exponent and D2D users' distribution density have significant influence on the performance of heterogeneous cellular and D2D networks. Compared with the grid model and PPP model, PCP model can realize the performance optimization of the clustered D2D networks.
{"title":"Modeling and Performance Optimization of Heterogeneous Cellular and D2D Networks","authors":"Nuerxiati Nuermaimaiti, Zhonggui Ma, Xing Zheng Wu","doi":"10.1109/WOCC.2019.8770597","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770597","url":null,"abstract":"With the development of large-scale integrated circuits and Internet, 5G has become the hot topic of current mobile communication. Device-to-device communication (D2D) is one of the key technologies of 5G. In this paper, considering the in-band communication, we use the Poisson cluster process (PCP) to model and analyze the heterogeneous cellular and D2D networks. Firstly, we use the Thomas cluster process to model cellular users and D2D users. Secondly, we analyze the aggregated interference of the typical D2D receiver in the heterogeneous cellular and D2D networks. Then we analyze the Laplace transform of the aggregated interference and deduce the coverage probability of the typical D2D receiver. Simulation results show that the path loss exponent and D2D users' distribution density have significant influence on the performance of heterogeneous cellular and D2D networks. Compared with the grid model and PPP model, PCP model can realize the performance optimization of the clustered D2D networks.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124959250","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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