2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第5页

An Energy-Efficient User Association Scheme Based on Robust Optimization in Ultra-Dense Networks 一种基于鲁棒优化的超密集网络节能用户关联方案

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674525

Chenming Ma, Fangfang Liu, Zhimin Zeng, Shulun Zhao

{"title":"An Energy-Efficient User Association Scheme Based on Robust Optimization in Ultra-Dense Networks","authors":"Chenming Ma, Fangfang Liu, Zhimin Zeng, Shulun Zhao","doi":"10.1109/ICCChinaW.2018.8674525","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674525","url":null,"abstract":"In ultra-dense networks, due to the diversity of content requested by users, the traffic demand of each user is actually uncertain. User association schemes based on exact traffic demand seem to be outdated. With economic and operational considerations and environmental issues, energy efficiency has now become a key pillar of communication network design. Therefore, we propose an energy-efficient user association scheme based on robust optimization, which improves the stability of association and the energy efficiency of the system. First, a robust optimization model for user association scheme is designed in ultra-dense network deployments. In this model, we construct an uncertainty set of bandwidth to describe the uncertainty of the user traffic demand. Then we solve the association matrix through an iterative user association algorithm to maximize system energy efficiency. The simulation results show that the proposed user association scheme has better energy efficiency performance than the signal to interference plus noise ratio (SINR)-based user association scheme.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131759059","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: 4

An Optimized Symmetric Accumulated Cross-Correlation Method of Parameter Estimation for ISAR Motion Compensation ISAR运动补偿参数估计的优化对称累计互相关方法

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674497

Jiayin Xue, Xiao Han, Qinyu Zhang

引用次数: 0

Study of the Symbol Error Rate/Bit Error Rate in Non-orthogonal Multiple Access (NOMA) Systems 非正交多址(NOMA)系统中符号误码率/误码率的研究

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674475

Weijia Han, Yu Wang, Di Tang, Ronghui Hou, Xiao Ma

{"title":"Study of the Symbol Error Rate/Bit Error Rate in Non-orthogonal Multiple Access (NOMA) Systems","authors":"Weijia Han, Yu Wang, Di Tang, Ronghui Hou, Xiao Ma","doi":"10.1109/ICCChinaW.2018.8674475","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674475","url":null,"abstract":"Recently, the non-orthogonal multiple access (NOMA) and the related power division multiple access (PDMA) techniques have attracted broad attentions, since they could efficiently improve the throughput of current networks. In NOMA/PDMA, parallel data from different information streams (or services) are encoded and modulated concurrently and then are superposed together for transmission. As a result, it is difficult to analyze the related symbol error rate (SER) and bit error rate (BER) which play a key role in system control, e.g., power allocation. To circumvent such an issue, we derive both SER and BER given by closed-form expressions in conditions of Gray coding and quadrature phase shift keying (QPSK) modulation. According to our outcomes, it is shown that SER and BER could be reduced efficiently, when the information streams are processed with Gray coding jointly. Furthermore, it is also indicated that the jointly Gray coding could improve the independence among the signals which composite a superposition signal. Consequently, our results are helpful to improve the performance of the downlink transmission in NOMA/PDMA.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124088312","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 Game Theory Scheme Combined with the Interference Region in Cellular D2D Heterogeneous Networks 蜂窝D2D异构网络中结合干扰区域的博弈论方案

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674513

Ting Zhong, Tao Peng, Yating Zhang

引用次数: 3

Dynamic QoS-Aware Resource Allocation for Narrow Band Internet of Things 窄带物联网动态qos感知资源分配

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674494

Wei Chen, Heli Zhang, Hong Ji, Xi Li

{"title":"Dynamic QoS-Aware Resource Allocation for Narrow Band Internet of Things","authors":"Wei Chen, Heli Zhang, Hong Ji, Xi Li","doi":"10.1109/ICCChinaW.2018.8674494","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674494","url":null,"abstract":"Abstract-Narrow Band Internet of Thing(NB-IoT) is 3GPP’s cellular technology designed for large-scale deployment of machine-type communications(MTC). NB-IoT can provide better indoor coverage, support of a massive number of low-throughput MTC equipment(MTCEs) with lower energy consumption on a narrow bandwidth of 180kHz. An important challenge to be addressed in NB-IoT is servicing a massive number of MTCEs while satisfying the quality of service (QoS) of the MTCEs. In this paper, a dynamic joint spectrum and slot QoS-Aware resource allocation algorithm is proposed for overcoming the challenge above. Specifically, in order to get better performance and increase spectrum utilization, we divide the overall equipment into two types which are delay sensitive(DS) equipment and non-delay sensitive (NON-DS) equipment according to QoS requirement. Then we formulate a joint sub-carrier and slot allocation problem to maximize the number of MTCEs satisfying the QoS. Moreover, simulation results show that the proposed algorithm could significantly increases the number of successful serviced equipment and achieves a good wireless resource utilization.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117184921","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: 3

A Universal Receiver for Uplink NOMA Systems 用于上行NOMA系统的通用接收机

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674476

Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen

引用次数: 8

R-CNN Object Detection Inference With Deep Learning Accelerator

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674519

Yuxin Qian, Hongli Zheng, Dazhi He, Zhexi Zhang, Zongpu Zhang

{"title":"R-CNN Object Detection Inference With Deep Learning Accelerator","authors":"Yuxin Qian, Hongli Zheng, Dazhi He, Zhexi Zhang, Zongpu Zhang","doi":"10.1109/ICCChinaW.2018.8674519","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674519","url":null,"abstract":"The explosively increasing demands of high-speed data applications have brought massive access requirements to various mobile devices. As integrating with artificial intelligence and neural network, the mobile device industry is often more concerned with faster inference with lower power consumption, bringing deep learning inference acceleration to the spotlight. In this paper, we perform a neural network inference merging R-CNN, an object detection model, into a deep learning accelerator architecture. It is a brand new implementation of neural network on embedded system hardware IP-cores of edge computation. On one hand, based on the embedded system environment, we implement the image pre-processing with region proposal algorithm and image post-processing with NMS method. On the other hand, we perform the feature computation with the deep learning accelerator through optimized software and hardware configurations. Through this method, we solve the problem of time-consuming in the computation of neural network layers and give a precise and real-time prediction of object detection. Our R-CNN inference achieves impressive results with 1.9 to 2.6 times higher performance compared with other inference processors.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132290287","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: 7

Dynamic Offloading Scheduling Scheme for MEC-enabled Vehicular Networks 基于mec的车联网动态卸载调度方案

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674508

Hansong Wang, Xi Li, Hong Ji, Heli Zhang

{"title":"Dynamic Offloading Scheduling Scheme for MEC-enabled Vehicular Networks","authors":"Hansong Wang, Xi Li, Hong Ji, Heli Zhang","doi":"10.1109/ICCChinaW.2018.8674508","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674508","url":null,"abstract":"The incorporation of mobile edge computing (MEC) into vehicular networks is an inspiring approach to meet the explosive vehicular services demands. The mobile vehicles could execute the computing tasks locally or offload to the nearby MEC servers. However, the mobility of the vehicles brings great challenges to finish the offloading before the vehicles moving out of the coverage of original connected MEC servers. To avoid interruption in the offloading process, we investigate the problem and propose a dynamic offloading scheduling scheme for MEC-enabled vehicular networks. The limited resources and variable vehicle speeds are taken into consideration. The whole offloading task is partitioned into small task units (TUs). Then in every cell with respective MEC servers, the optimal offloading ratio and assigned TUs are derived according to the practical constraints like moving speed, cell coverage and transmit data rate. The proposed scheduling scheme is adaptive to the changes of the vehicles’ speeds and the wireless transmission environment. Simulation results show that the proposed scheme has a good performance in total offloading time and energy efficiency.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114616264","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: 14

Two-Layer Beamforming for Virtual Cell in Ultra Dense Network 超密集网络中虚拟小区的双层波束形成

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674511

Xiusha An, Changyin Sun, Fan Jiang

引用次数: 0

Practical Power Allocation Schemes for Cooperative Relay Networking with NOMA 基于NOMA的中继协同组网实用功率分配方案

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674496

Jaeho Choi, Wei Duan, Haiyang Yu, Jinjuan Ju

引用次数: 2