2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)最新文献

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Performance analysis for ad hoc cognitive radio networks using low complexity 2D Markov model 基于低复杂度二维马尔可夫模型的自组织认知无线网络性能分析
Tigang Jiang, Honggang Wang, Wei Wang
{"title":"Performance analysis for ad hoc cognitive radio networks using low complexity 2D Markov model","authors":"Tigang Jiang, Honggang Wang, Wei Wang","doi":"10.1109/ICNIDC.2016.7974536","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974536","url":null,"abstract":"In this paper, the 3-D Markov analytical model for cognitive radio networks of [1] are replaced by out proposed new 2-D Markov analytical model with considerable low complexity to evaluate the performance of Ad-Hoc Cognitive Radio Networks, and the theory mistakes of [1] are corrected. Compared with the existing 3-D Markov analytical model for cognitive radio networks, our approach has achieved the base performance with the low complexity. The numerical analysis and simulation show that the analytic model is accurate and compatible with the simulation results.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"20 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":"121254262","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
Joint computation and communication resource allocation in mobile-edge cloud computing networks 移动边缘云计算网络中的联合计算与通信资源分配
Xiaopeng Lin, Heli Zhang, Hong Ji, Victor C. M. Leung
{"title":"Joint computation and communication resource allocation in mobile-edge cloud computing networks","authors":"Xiaopeng Lin, Heli Zhang, Hong Ji, Victor C. M. Leung","doi":"10.1109/ICNIDC.2016.7974557","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974557","url":null,"abstract":"Mobile devices are in general resource-constrained, having limited computation resource and battery life. It is a significant challenge to resolve the contradiction between resource-hungry applications and resource-constrained mobile devices. As a promising approach to address such a challenge, computation offloading enables mobile users to offload computation to nearby resource-rich cloud infrastructure to reduce energy consumption and improve performance. In this paper, we formulate the computation offloading decision making problem as a MEC server selection problem, considering how to find one proper MEC server for one user that carrying computation job. We propose a joint computation and communication resource allocation model. In this model, we consider both transmitting energy consumption and communication delay as communication cost in a multi-user and multi-MEC server scenario. We use two algorithms to solve the proposed model. One is Hungarian algorithm based MEC server selection algorithm, but it ignores the fairness of the system. Another is Fairness based MEC server selection algorithm, which incorporate the fairness of the system. Finally, we show the numerical simulation result.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"127 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":"122495664","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: 17
Fusing multiple statistical features via explicit feature mapping for person re-identification 通过显式特征映射融合多个统计特征,实现人物再识别
Hongli Zhang, Honggang Zhang, Jianlou Si
{"title":"Fusing multiple statistical features via explicit feature mapping for person re-identification","authors":"Hongli Zhang, Honggang Zhang, Jianlou Si","doi":"10.1109/ICNIDC.2016.7974599","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974599","url":null,"abstract":"Person re-identification (Re-ID) across non-overlapping camera views is one of the challenging problems in surveillance video analysis. In this paper, we propose to combine multiple statistical features via explicit kernel feature mapping, and learn a linear metric model by local fisher discriminant analysis (LFDA) for person Re-ID. To strengthen the robustness of our representation, three complementary statistical characteristics, including histogram-like features, covariance matrix and expectation vector, were extracted from multiple spatial scales for each person image. Experimental results show that the proposed method works effectively on the popular benchmark data sets VIPeR and CUHK01 and yield impressive performance measured with Cumulative Match Characteristic curves (CMC).","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"47 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":"126665571","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
Content caching scheme for D2D communication underlaying cellular networks with capacoty restriction 基于容量限制蜂窝网络的D2D通信内容缓存方案
Jinchao Lu, Heli Zhang, Hong Ji, Victor C. M. Leung
{"title":"Content caching scheme for D2D communication underlaying cellular networks with capacoty restriction","authors":"Jinchao Lu, Heli Zhang, Hong Ji, Victor C. M. Leung","doi":"10.1109/ICNIDC.2016.7974617","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974617","url":null,"abstract":"With the rapid growth of Internet services and the popularity of social media, mobile network operators are facing a serious challenge to delivery multimedia content to multiple users. In this paper, we consider device-to-device (D2D) communication supported mobile content delivery networks (mCDNs) which enables controllable and direct delivery of multimedia contents. With this network, we regard mobile device as caching server device (CSD) which can store popular multimedia contents and provide these for other devices in proximity to it via D2D link. Besides, we propose an optimization problem to determine the caching probability for the individual content in each CSD. In this problem, we intend to maximize system utility with the consideration of cache capacity restriction in each CSD. Further, we present a low-complexity search algorithm, namely discrete binary searching algorithm (DBSA), for solving the proposed optimization problem. Simulation results show that proposed optimal solution can obtain the best performance on system utility.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"88 8 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":"128871720","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: 2
Fine-grained entity typing for knowledge base completion 用于知识库完成的细粒度实体类型
Yidong Jia, Weiran Xu, Pengda Qin, Zuyi Bao
{"title":"Fine-grained entity typing for knowledge base completion","authors":"Yidong Jia, Weiran Xu, Pengda Qin, Zuyi Bao","doi":"10.1109/ICNIDC.2016.7974597","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974597","url":null,"abstract":"Most work on knowledge base completion focuses on relations between entities, while entity types are also important knowledge. This paper addresses the problem of fine-grained entity typing for knowledge base completion. Context information plays a vital role in fine-grained entity typing, hence there is an urgent need to find ideal context representations. This paper presents a new approach CNNJM (convolutional neural network joint model) to learn the embeddings of the entities and their contextual information using convolutional neural network and correctly categorize the entities into their fine-grained type classes. We show that CNNJM outperforms state-of-art methods on a fine-grained entity typing benchmark.","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":"131555883","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: 2
A novel ICIC scheme for reducing intra cluster interference in LTE-Hi network 一种新的减少LTE-Hi网络簇内干扰的ICIC方案
Zhi Chen, Gang Chuai, Weidong Gao
{"title":"A novel ICIC scheme for reducing intra cluster interference in LTE-Hi network","authors":"Zhi Chen, Gang Chuai, Weidong Gao","doi":"10.1109/ICNIDC.2016.7974577","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974577","url":null,"abstract":"In order to further improve the user experience in Hotspot or Indoor areas, Ultra-dense smallcell deployments in a new and high frequency band, e.g., 3.5 GHz, have been identified as a very interesting topic in Long Term Evolution—Hotspot or indoor (LTE-Hi) Release 12. The intra cluster interference among small cells becomes the main challenge instead of the cross layer interference for macro cell and small cell co-channel deployments. The traditional enhanced inter-cell interference coordination (eICIC) technology employing almost blank subframes (ABSs) and cell range extension (CRE) is no longer suitable for this challenge. A novel and effective time domain Orthogonal Subframe Partitioning and Adaptive Subframes Reuse (OSP+ASR) ICIC scheme is proposed to addresses the downlink intra cluster interference. The smallcells adaptively select their orthogonal subframes and reused subframes, according to the subframes configuration of the smallcells in their interference pool and their UEs' SINR respectively. System simulation results show that the proposed scheme can greatly improve the average smallcell throughput and the average SINR of smallcell users (SUEs), as well as the fairness of SUEs.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"10 5 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":"132545414","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: 2
A Service Discovery System based on Zookeeper with Priority Load Balance Strategy 基于Zookeeper的优先级负载均衡服务发现系统
Meina Song, G. Luo, E. Haihong
{"title":"A Service Discovery System based on Zookeeper with Priority Load Balance Strategy","authors":"Meina Song, G. Luo, E. Haihong","doi":"10.1109/ICNIDC.2016.7974547","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974547","url":null,"abstract":"The paper present a Dynamic Service Discovery System[1] with a Priority Load Balance Strategy. The system not only integrates Zookeeper[2] and tradition web project written with Spring and SpringMVC to achieve the dynamic service discovery function, which feeds the basic needs of the Priority Load Balance Strategy. The experimental test result shows that the new system has lots of advantages over the Traditional Service-Oriented Architecture and the load balance module gets a better performance.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"188 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":"117309667","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: 2
A software defined security architecture for SDN-based 5G network 基于sdn的5G网络的软件定义安全架构
Xiaodong Liang, Xiaofeng Qiu
{"title":"A software defined security architecture for SDN-based 5G network","authors":"Xiaodong Liang, Xiaofeng Qiu","doi":"10.1109/ICNIDC.2016.7974528","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974528","url":null,"abstract":"Software Defined Networking (SDN) is considered to meet the future needs of the 5G mobile networks. However, there have been only a few works so far that address the security issues in SDMN (Software Defined Mobile Networks), and all the proposed approaches have their drawbacks. So, in this context, a new security paradigm based on SDN introduces many opportunities and provides the potential to solve the security problem in the mobile core network. In this paper, we present the SDS-SC, a software defined security architecture for SDN based 5G network. With centralized security controller that communicates with SDN network controller, flexible and network-aware security services could be provided for mobile users on-demand. We also highlight how security applications could be developed easily in our architecture through application interface on top of the security controller.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"134 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":"115875909","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: 24
Detection-assisted interference parameter estimation and interference cancellation for LTE-Advanced system LTE-Advanced系统的检测辅助干扰参数估计与干扰消除
Qiangze Chi, Xin Zhang, Dacheng Yang
{"title":"Detection-assisted interference parameter estimation and interference cancellation for LTE-Advanced system","authors":"Qiangze Chi, Xin Zhang, Dacheng Yang","doi":"10.1109/ICNIDC.2016.7974570","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974570","url":null,"abstract":"Inter-cell interference is the main obstacle for increasing the network capacity of Long-Term Evolution Advanced (LTE-A) system. Interference Cancellation (IC) is a promising way to improve spectral efficiency. 3rd Generation Partnership Project (3GPP) raises a new research project — Network-Assisted Interference Cancellation and Suppression (NAICS) in LTE Rel-12. Advanced receivers used in NAICS include maximum likelihood (ML) receiver and symbol-level IC (SLIC) receiver. Those receivers need some interference parameters, such as rank indicator (RI), precoding matrix indicator (PMI) and modulation level (MOD). This paper presents a new IC receiver based on detection. We get the clean interfering signal assisted by detection and use it in SLIC. The clean interfering signal makes the estimation of interfering transmitted signal more accurate. So interference cancellation would be more significant. We also improve the method of interference parameter estimation that avoids estimating power boosting and precoding matrix simultaneously. The simulation results show that the performance of proposed SLIC is better than traditional SLIC and close to ML.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"30 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":"114211419","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: 2
Review aspect extraction based on character-enhanced embedding models 基于字符增强嵌入模型的评论方面提取
Jingxuan Yang, Qinjie Lyu, Sheng Gao, Lin Qiu, Jun Guo
{"title":"Review aspect extraction based on character-enhanced embedding models","authors":"Jingxuan Yang, Qinjie Lyu, Sheng Gao, Lin Qiu, Jun Guo","doi":"10.1109/ICNIDC.2016.7974568","DOIUrl":"https://doi.org/10.1109/ICNIDC.2016.7974568","url":null,"abstract":"User reviews, in the form of short unstructured natural texts, often provide rich information to benefit product adoption or service improvement. Aspect can be extracted as the abstract meaning from the reviews. Traditional methods have employed either rule-based templates or bag-of-words features for aspect extraction from text. However, these models cannot effectively handle short texts, especially in Chinese reviews. In this paper, we address the issue by learning the character embeddings as the basic semantic unit and incorporating the compositional sentence-level representation into a neural network approach for review aspect classification. For that, the character embeddings from the reviews are learned in position-based and clustered-based fashions, and then combined into sentence vectors to yield better text representations. Extensive experiments on real world data set suggest that our proposed model highly outperforms the state-of-the-art methods for review aspect extraction task.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"80 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":"126381069","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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