Visible light communication (VLC) has recently emerged to become a promising wireless communication technology. It is attractive if the mobile phone camera can be used as the visible light communication receiver. In this paper, a feasible digital image processing scheme for the application of VLC using mobile phone camera as receiver is proposed. The camera for the signal reception captures the information in the form of light and dark stripes which are then decoded by the computer in the MATLAB and the received message is displayed. In order to mitigate the interferences of the LED facula and extend the VLC transmission distance, we utilize a lot of methods of digital image processing, which include grayscale conversion, removal of low grayscale and LED facula, histogram equalization and high pass filter. Through the image processing, the light and dark stripes are clearer and easier to be decoded. Then a second-order polynomial fitting is used to define the threshold and the binary result is obtained. The experimental results show that the robustness of system is obviously improved and the VLC system can resist interferences and background noise.
{"title":"Digital image processing in led visible light communications using mobile phone camera","authors":"Zongze Li, Zhenshan Zhang, Qiaozhi Yuan, Yaojun Qiao, Ke Liao, HaiHua Yu","doi":"10.1109/ICNIDC.2016.7974572","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974572","url":null,"abstract":"Visible light communication (VLC) has recently emerged to become a promising wireless communication technology. It is attractive if the mobile phone camera can be used as the visible light communication receiver. In this paper, a feasible digital image processing scheme for the application of VLC using mobile phone camera as receiver is proposed. The camera for the signal reception captures the information in the form of light and dark stripes which are then decoded by the computer in the MATLAB and the received message is displayed. In order to mitigate the interferences of the LED facula and extend the VLC transmission distance, we utilize a lot of methods of digital image processing, which include grayscale conversion, removal of low grayscale and LED facula, histogram equalization and high pass filter. Through the image processing, the light and dark stripes are clearer and easier to be decoded. Then a second-order polynomial fitting is used to define the threshold and the binary result is obtained. The experimental results show that the robustness of system is obviously improved and the VLC system can resist interferences and background noise.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115697888","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974562
K. Wang, Zhengqiu Yang, Jiapeng Xiu, Chen Liu
Based on the model of Chinese soil loss equation (CSLE), this paper puts forward a model to calculate the large scale data automatically. At present, the domestic use of this model to calculate the soil loss modulus methods are mostly used in the existing calculation tools, manual calculation of a basin or county soil erosion modulus. However, the data collected from the first national water resources survey about soil and water conservation work in our country, has not automatic calculation model to be applied. In this paper, we mainly study how to use the CSLE model to calculate the large range data by using the automatic method, and put forward the automatic calculation model.
{"title":"Automatic calculation model of large scale soil loss model based on csle model","authors":"K. Wang, Zhengqiu Yang, Jiapeng Xiu, Chen Liu","doi":"10.1109/ICNIDC.2016.7974562","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974562","url":null,"abstract":"Based on the model of Chinese soil loss equation (CSLE), this paper puts forward a model to calculate the large scale data automatically. At present, the domestic use of this model to calculate the soil loss modulus methods are mostly used in the existing calculation tools, manual calculation of a basin or county soil erosion modulus. However, the data collected from the first national water resources survey about soil and water conservation work in our country, has not automatic calculation model to be applied. In this paper, we mainly study how to use the CSLE model to calculate the large range data by using the automatic method, and put forward the automatic calculation model.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114755886","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974576
Bowen Liu, Heli Zhang, Hong Ji, Victor C. M. Leung
Recently, the increasing number of antennas makes the resource allocations of the massive multi-input multi-output (MIMO) networks become more complicated, and diminish the advantages of higher space diversity. In this paper, we focus on antenna selection with the uplink feedback with the signaling overhead reduced, as well as the power allocation scheme aiming of the spectrum efficiency (SE) improving. It makes the complexity too high to regard the antenna selection and power allocation as one problem, so we divide the problem into two parts. And to solve the sub-problem, we present a joint antenna and power allocation (JAPA) scheme. By this approach, we reduce the feedback overhead and improve SE with lower complexity than conventional algorithms. SE of all the users with different number of antenna and node pairs are simulated, and the results demonstrate that our proposed scheme performs well in the total power consumption and SE with user scheduling participated.
{"title":"Joint antenna and power allocation scheme for massive MIMO relaying network","authors":"Bowen Liu, Heli Zhang, Hong Ji, Victor C. M. Leung","doi":"10.1109/ICNIDC.2016.7974576","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974576","url":null,"abstract":"Recently, the increasing number of antennas makes the resource allocations of the massive multi-input multi-output (MIMO) networks become more complicated, and diminish the advantages of higher space diversity. In this paper, we focus on antenna selection with the uplink feedback with the signaling overhead reduced, as well as the power allocation scheme aiming of the spectrum efficiency (SE) improving. It makes the complexity too high to regard the antenna selection and power allocation as one problem, so we divide the problem into two parts. And to solve the sub-problem, we present a joint antenna and power allocation (JAPA) scheme. By this approach, we reduce the feedback overhead and improve SE with lower complexity than conventional algorithms. SE of all the users with different number of antenna and node pairs are simulated, and the results demonstrate that our proposed scheme performs well in the total power consumption and SE with user scheduling participated.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117055744","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974544
Wen Yu, Jiapeng Xiu, Chen Liu, Zhengqiu Yang
In this paper, a face detection algorithm based on AdaBoost algorithm combined with Haar classifier depth cascade about OpenCV is proposed. In order to solve the problem that the training depth of AdaBoost algorithm is not enough and the Haar classifier is not accurate because of the lack of depth cascade classification. Before the face feature extraction, AdaBoost algorithm is used to train the face samples to train the strong classifier. Then using OpenCV Haar classifier to depth classification for these strong classifier, it equal to cascade the AdaBoost algorithm, using high efficiency characteristic matrix and integral image method to accelerate the extraction rate of image feature values of the Haar-like.
{"title":"A depth cascade face detection algorithm based on adaboost","authors":"Wen Yu, Jiapeng Xiu, Chen Liu, Zhengqiu Yang","doi":"10.1109/ICNIDC.2016.7974544","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974544","url":null,"abstract":"In this paper, a face detection algorithm based on AdaBoost algorithm combined with Haar classifier depth cascade about OpenCV is proposed. In order to solve the problem that the training depth of AdaBoost algorithm is not enough and the Haar classifier is not accurate because of the lack of depth cascade classification. Before the face feature extraction, AdaBoost algorithm is used to train the face samples to train the strong classifier. Then using OpenCV Haar classifier to depth classification for these strong classifier, it equal to cascade the AdaBoost algorithm, using high efficiency characteristic matrix and integral image method to accelerate the extraction rate of image feature values of the Haar-like.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130581417","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974565
Shan Wang, Yajing Xu, Sheng Gao
Various functions in the region are emerging with the process of urbanizations, such as the residential, entertainment or hospital districts, which can be indicated during the urban planning. Recently, researchers try to discover the region functions with the human mobility data based on machine learning and statistical models. However, previous work always employs the single domain data like mobility information or district attributes to measure the functions. In this paper, we will address the problem by integrating multi-domain data, like human trajectories, base station information and Points-of-Interest attributes. For that, we propose a joint nonnegative matrix factorization model to combine the multi-source data and extract the function distribution of each urban region, then the dominated function among the regions can be uncovered based on the clustering process over the extracted distributions. We also evaluate the performance of our method on the real-world dataset to demonstrate the advantages of our proposed model over the baseline methods.
{"title":"Revealing functional regions via joint matrix factorization based model","authors":"Shan Wang, Yajing Xu, Sheng Gao","doi":"10.1109/ICNIDC.2016.7974565","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974565","url":null,"abstract":"Various functions in the region are emerging with the process of urbanizations, such as the residential, entertainment or hospital districts, which can be indicated during the urban planning. Recently, researchers try to discover the region functions with the human mobility data based on machine learning and statistical models. However, previous work always employs the single domain data like mobility information or district attributes to measure the functions. In this paper, we will address the problem by integrating multi-domain data, like human trajectories, base station information and Points-of-Interest attributes. For that, we propose a joint nonnegative matrix factorization model to combine the multi-source data and extract the function distribution of each urban region, then the dominated function among the regions can be uncovered based on the clustering process over the extracted distributions. We also evaluate the performance of our method on the real-world dataset to demonstrate the advantages of our proposed model over the baseline methods.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123358929","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974534
Tianwei Hou, Xiaodong Ji, Yong Li
A novel full-duplex (FD) multi-threshold cooperative sensing scheme based on phase difference (PD) is presented in this paper. Compared with single-threshold cooperative method, the novel multi-threshold cooperative method proposed in this paper can greatly improve the performance of the FD cognitive radio networks (CRNs). PD method is used in this paper since it is immune to the signal-to-noise ratio (SNR) level. Besides, two different kinds of weighing methods are presented in this paper, i.e., weighing based on the average of every secondary user's (SU) report and weighing based on Bias discriminant. Closed-form solutions for both non-cooperative case and weighing based on the average of SU's report are proposed in this paper. Simulation results justify that our closed-form solutions are correct, and our multi-threshold weighing cooperative method can improve the performance of the FD system.
{"title":"Full duplex multi-threshold cooperative sensing scheme based on phase difference","authors":"Tianwei Hou, Xiaodong Ji, Yong Li","doi":"10.1109/ICNIDC.2016.7974534","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974534","url":null,"abstract":"A novel full-duplex (FD) multi-threshold cooperative sensing scheme based on phase difference (PD) is presented in this paper. Compared with single-threshold cooperative method, the novel multi-threshold cooperative method proposed in this paper can greatly improve the performance of the FD cognitive radio networks (CRNs). PD method is used in this paper since it is immune to the signal-to-noise ratio (SNR) level. Besides, two different kinds of weighing methods are presented in this paper, i.e., weighing based on the average of every secondary user's (SU) report and weighing based on Bias discriminant. Closed-form solutions for both non-cooperative case and weighing based on the average of SU's report are proposed in this paper. Simulation results justify that our closed-form solutions are correct, and our multi-threshold weighing cooperative method can improve the performance of the FD system.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121220467","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974579
Zhe Wang, Yitong Liu, Yuchen Li, Hongwen Yang, Dacheng Yang
It is of vital importance to make audiovisual quality assessment, as the growing demand on video telephone services. Users are more enjoying higher quality of video telephone, and their perceptions on video telephone service will directly influence the service provider's performance. So it is significant to study end users' subjective perception, named as Quality of Experience (QoE), on video telephone. In this paper, subjective tests have been conducted with participation from laboratories with ages ranging from 20 to 40, and we analyze the collected data and build a QoE model for evaluating video telephone services, considering different video telephone content types. The QoE model, named as Video-Telephone-Mean Opinion Score model, directly focuses on end-users' feeling. The key performance indicators (KPIs) are mapped to QoE score. The performance of model for QoE evaluation on video telephone quality has been verified via plenty subjective Mean Opinion Score (MOS) test, which includes 120 video telephone samples with 2760 valid votes. The Pearson Correlation Coefficient between VT MOS and MOS is 0.90, which indicates that this model can be used to evaluate users' perception on video telephone quality.
{"title":"An estimated QoE model for video telephone service","authors":"Zhe Wang, Yitong Liu, Yuchen Li, Hongwen Yang, Dacheng Yang","doi":"10.1109/ICNIDC.2016.7974579","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974579","url":null,"abstract":"It is of vital importance to make audiovisual quality assessment, as the growing demand on video telephone services. Users are more enjoying higher quality of video telephone, and their perceptions on video telephone service will directly influence the service provider's performance. So it is significant to study end users' subjective perception, named as Quality of Experience (QoE), on video telephone. In this paper, subjective tests have been conducted with participation from laboratories with ages ranging from 20 to 40, and we analyze the collected data and build a QoE model for evaluating video telephone services, considering different video telephone content types. The QoE model, named as Video-Telephone-Mean Opinion Score model, directly focuses on end-users' feeling. The key performance indicators (KPIs) are mapped to QoE score. The performance of model for QoE evaluation on video telephone quality has been verified via plenty subjective Mean Opinion Score (MOS) test, which includes 120 video telephone samples with 2760 valid votes. The Pearson Correlation Coefficient between VT MOS and MOS is 0.90, which indicates that this model can be used to evaluate users' perception on video telephone quality.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130289579","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974571
Jia-Ning Guo, K. Niu, Chao Dong
In this paper, we study an iterative beamforming scheme for downlink multiuser channels. The sum-rate of the system can be maximized by weighted sum-rate maximization method. However, the interference of leakage signal is not considered in this method. We propose a new metric named leakage sum-rate (LSR) to treat leakage interference. Then, the leakage sum-rate maximization is modeled by the power budget constraint of base stations. The optimization problem can be transformed to an equivalent weighted mean-square error minimization (WMMSE) problem and an iterative algorithm is proposed to solve it. In the algorithm, weighted factors, transmit and receive beamformers are updated iteratively. The proposed algorithm outperforms the SLNR maximizing algorithm in terms of the system sum-rate. Compared with the weighted sum-rate maximization scheme, the proposed algorithm can converge to a stationary point more quickly although the system performance is lower. Simulation results illustrate that the algorithm can make a good balance between system performance and complexity.
{"title":"An iterative beamforming scheme based on leakage sum-rate maximization criterion","authors":"Jia-Ning Guo, K. Niu, Chao Dong","doi":"10.1109/ICNIDC.2016.7974571","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974571","url":null,"abstract":"In this paper, we study an iterative beamforming scheme for downlink multiuser channels. The sum-rate of the system can be maximized by weighted sum-rate maximization method. However, the interference of leakage signal is not considered in this method. We propose a new metric named leakage sum-rate (LSR) to treat leakage interference. Then, the leakage sum-rate maximization is modeled by the power budget constraint of base stations. The optimization problem can be transformed to an equivalent weighted mean-square error minimization (WMMSE) problem and an iterative algorithm is proposed to solve it. In the algorithm, weighted factors, transmit and receive beamformers are updated iteratively. The proposed algorithm outperforms the SLNR maximizing algorithm in terms of the system sum-rate. Compared with the weighted sum-rate maximization scheme, the proposed algorithm can converge to a stationary point more quickly although the system performance is lower. Simulation results illustrate that the algorithm can make a good balance between system performance and complexity.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"47 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123264446","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974618
Zheng Guo, Hao Jin, Cheng-lin Zhao, D. Liang
Distributed cache is considered to be one of the key solutions to meet the explosively increasing demand for mobile data traffic. While plenty of related research is burgeoning, most of them mainly focus on caching at routing nodes or base stations, leaving the potential caching ability of the users' smart devices ignored. This paper proposes a cooperative caching and sharing scheme of users' smart devices, where the smart devices would prefer to cache contents the user is interested in and share their cached contents through D2D communication. We provide both the analytical and simulation results to show our scheme's efficiency.
{"title":"User interest based distributed cooperative caching and sharing in wireless networks","authors":"Zheng Guo, Hao Jin, Cheng-lin Zhao, D. Liang","doi":"10.1109/ICNIDC.2016.7974618","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974618","url":null,"abstract":"Distributed cache is considered to be one of the key solutions to meet the explosively increasing demand for mobile data traffic. While plenty of related research is burgeoning, most of them mainly focus on caching at routing nodes or base stations, leaving the potential caching ability of the users' smart devices ignored. This paper proposes a cooperative caching and sharing scheme of users' smart devices, where the smart devices would prefer to cache contents the user is interested in and share their cached contents through D2D communication. We provide both the analytical and simulation results to show our scheme's efficiency.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124821670","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 : 2016-09-01DOI: 10.1109/ICNIDC.2016.7974539
Zexiang Wu, Ke Wang, Hong Ji, Victor C. M. Leung
In order to alleviate heavy burden on the capacity-limited fronthaul of C-RAN, a fog computing based C-RAN(F-RAN) architecture has been proposed in recent years. In F-RAN, RRH receives the signal from mobile devices and decides part of tasks to be processed in fog part for computing offloading. With the purpose of offloading sampling signal in fronthaul and separating tasks from cloud part to be processed in fog part, we formulate the problem as a congestion game. And we propose a discrete distribution computing offloading algorithm (DDCO) for F-RAN to solve this game. The DDCO algorithm decides the latency-sensitive mobile to be computed in the fog part such that the fronthaul can be offloaded and Quality of Service (QoS) can be improved. The DDCO algorithm can also balance load in fronthaul in order to improve performance. With the DDCO algorithm, the network get larger throughput and reduce the burden in fronthaul when it achieve a Nash Equilibrium. Finally, we analyze the feasibility of the algorithm. Numerical result corroborate that the DDCO algorithm can well improve throughput compared with the traditional C-RAN network.
{"title":"A computing offloading algorithm for F-RAN with limited capacity fronthaul","authors":"Zexiang Wu, Ke Wang, Hong Ji, Victor C. M. Leung","doi":"10.1109/ICNIDC.2016.7974539","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974539","url":null,"abstract":"In order to alleviate heavy burden on the capacity-limited fronthaul of C-RAN, a fog computing based C-RAN(F-RAN) architecture has been proposed in recent years. In F-RAN, RRH receives the signal from mobile devices and decides part of tasks to be processed in fog part for computing offloading. With the purpose of offloading sampling signal in fronthaul and separating tasks from cloud part to be processed in fog part, we formulate the problem as a congestion game. And we propose a discrete distribution computing offloading algorithm (DDCO) for F-RAN to solve this game. The DDCO algorithm decides the latency-sensitive mobile to be computed in the fog part such that the fronthaul can be offloaded and Quality of Service (QoS) can be improved. The DDCO algorithm can also balance load in fronthaul in order to improve performance. With the DDCO algorithm, the network get larger throughput and reduce the burden in fronthaul when it achieve a Nash Equilibrium. Finally, we analyze the feasibility of the algorithm. Numerical result corroborate that the DDCO algorithm can well improve throughput compared with the traditional C-RAN network.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129211478","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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