2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)最新文献_第6页

Beam Selection for Beam Refinement Procedure in Multi-cell Millimeter-Wave Massive MIMO Systems 多小区毫米波海量MIMO系统波束细化过程的波束选择

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674503

Leiqin Yan, Hongwen Yang, Yushu Zhang

引用次数: 1

A Matching Game Approach for Joint Resource Allocation and User Association in Fog Radio Access Networks 雾无线接入网中联合资源分配与用户关联的匹配博弈方法

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674520

Xueyan Cao, Chunjing Hu, Shi Yan

引用次数: 0

Edge Computing Sever Selection in Fog Radio Access Networks 雾无线接入网中的边缘计算服务器选择

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674471

Xile Shen, Xiaoshi Song, Xiangbo Meng, Chao Jia

{"title":"Edge Computing Sever Selection in Fog Radio Access Networks","authors":"Xile Shen, Xiaoshi Song, Xiangbo Meng, Chao Jia","doi":"10.1109/ICCChinaW.2018.8674471","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674471","url":null,"abstract":"In this paper, we consider a fog radio access (F-RAN) network formed by two different kinds of node, namely the user and calculator (i.e., the edge computing sever), respectively. It is assumed that the users and calculators follows two independent homogeneous Poisson point processes (HPPPs). Further, it is assumed that the arrival of the computing tasks at each user and the departure of the computing tasks at each calculator follow two Poisson processes with rate ηu and ηc, respectively. That is, the time between successive arrivals at each user or departures at each calculator are independent exponential random variables with mean given by $frac{1}{{{eta _u}}}$ or $frac{1}{{{eta _c}}}$. Time is divided into slots. At the beginning each time slot, each user is designed to offload the computing tasks generated in the last time slot to their nearby calculators within a distance of Rd for data processing. Different from the random-chosen based calculator selection schemes studied in the previous works, in this paper, we consider a prediction based calculator selection strategy to enhance the delay performance of the F-RAN. Particularly, under the proposed prediction based calculator selection strategy, we estimate the network status in the next time slot, and use which as the criterion for computing server selection and tasks offloading. It is shown through both the analysis and simulations that the proposed prediction based calculator selection strategy outperforms the random-chosen based calculator selection protocol in terms of the successful offloading probability.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 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":"126012647","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

Judgement-based Joint SLM and PTS Algorithm for PAPR Suppression of Radar Communication Integrated System 基于判断的联合SLM和PTS算法抑制雷达通信集成系统的PAPR

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674505

Hong Zhao, Wei-xia Zou

{"title":"Judgement-based Joint SLM and PTS Algorithm for PAPR Suppression of Radar Communication Integrated System","authors":"Hong Zhao, Wei-xia Zou","doi":"10.1109/ICCChinaW.2018.8674505","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674505","url":null,"abstract":"In radar communication integrated (RCI) systems, multi-carrier shared signals based on OFDM-LFM have been widely used. However, in the OFDM-LFM-RCI multi-carrier system, there is a severe problem that the peak-to-average power ratio (PAPR) is too high. Although applying the conventional selective mapping (SLM) algorithm or partial transmit sequence (PTS) algorithm to the OFDM-LFM-RCI system can reduce the probability of high PAPR, the computational complexity of both algorithms is too high. In order to reduce the computational complexity and improve the PAPR suppression effect, a judgment-based joint SLM and PTS algorithm (J-SLM-PTS) is proposed in this paper. In the proposed J-SLM-PTS algorithm, there are two levels of PAPR suppression processing, the first is SLM algorithm and the other is PTS algorithm. Besides a judgment mechanism is introduced between the two levels. For the judgment mechanism, if the PAPR of the first level output sequence is less than the threshold PAPRth, then the sequence is directly used as the transmit sequence, otherwise it will be transferred to the second level for PTS algorithm processing. The simulation results show that the J-SLM-PTS algorithm can not only greatly reduce the computational complexity, but also have better PAPR suppression effect without reducing the communication and radar performance of OFDM-LFM-RCI systems.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"13 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":"134411611","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

Deep Reinforcement Learning Based Coded Caching Scheme in Fog Radio Access Networks 基于深度强化学习的雾无线接入网编码缓存方案

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674478

Yangcheng Zhou, M. Peng, Shi Yan, Yaohua Sun

{"title":"Deep Reinforcement Learning Based Coded Caching Scheme in Fog Radio Access Networks","authors":"Yangcheng Zhou, M. Peng, Shi Yan, Yaohua Sun","doi":"10.1109/ICCChinaW.2018.8674478","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674478","url":null,"abstract":"Fog radio access networks (F-RANs) have been presented as promising architectures for the future wireless system to provide high spectral and energy efficiency. With the help of the new designed fog access points (F-APs), F-RANs can take the full advantage of local caching capabilities, which relieves the load of fronthaul and reduces transmission delay. However, the cache resource optimization is a challenging task due to the uncertainty and dynamics of user file requests. Considering the high utilization of cache space and file diversity by coded caching, a deep reinforcement learning (DRL) based algorithm is developed for coded caching enabled F-RANs. The core idea of the proposal is that the network controller intelligently allocates the limited cache spaces of F-APs to different coded files based on the historical requests of the user. While the successful transmission probability of user requests is maximized during the learning process. Through numerical simulations, the convergence of the DRL based caching scheme is demonstrated, and the superiority of the proposal is verified by comparing with other baselines.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"418 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":"132637784","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: 12

Energy-Efficient Hybrid Precoding for mmWave Massive MIMO Systems 毫米波大规模MIMO系统的节能混合预编码

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674523

Weiwei Dong, Tiankui Zhang, Zhirui Hu, Yuanwei Liu, Xiao Han

{"title":"Energy-Efficient Hybrid Precoding for mmWave Massive MIMO Systems","authors":"Weiwei Dong, Tiankui Zhang, Zhirui Hu, Yuanwei Liu, Xiao Han","doi":"10.1109/ICCChinaW.2018.8674523","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674523","url":null,"abstract":"In millimeter Wave (mmWave) massive multi-input multi-output (MIMO) systems, the novel sub-connected architecture has been introduced which can further reduce power consumption compared with the fully-connected architecture. In this paper, we propose an energy-efficient hybrid precoding design with quality of service (QoS) constraints for sub-connected architecture. Firstly, the total energy efficiency optimization problem with nonconvex constraints is decomposed into two separate optimization sub-problems whose solution is a optimal single precoder respectively. Then, the first optimization sub-problem analog domain concerned is solved by a cross-entropy-based algorithm according to the machine learning theory. Finally, the second optimization sub-problem digital domain concerned is solved by an iterative optimization algorithm from fractional programming theory. Simulation results demonstrate that the performance of the proposed precoding algorithm. The performance of the proposed algorithm is capable of achieving near optimal solution. It is also demonstrated that the proposed algorithm can enhance the energy efficiency of networks while guaranteeing the QoS of users.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"3 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":"131357386","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 Distance-Sensitive Distributed Repulsive Sleeping Strategy for Densely-Deployed Small Cells in Green Cities 绿色城市中密集部署小细胞的距离敏感分布式排斥睡眠策略

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674480

Yanhua He, Liangrui Tang, Zhenyu Zhou

{"title":"A Distance-Sensitive Distributed Repulsive Sleeping Strategy for Densely-Deployed Small Cells in Green Cities","authors":"Yanhua He, Liangrui Tang, Zhenyu Zhou","doi":"10.1109/ICCChinaW.2018.8674480","DOIUrl":"https://doi.org/10.1109/ICCChinaW.2018.8674480","url":null,"abstract":"With the ultra-dense deployment of small cells, Base Station (BS) sleeping technology will play a critical role in future 5G green communications. However, conventional centralized BS sleeping strategies generate a large amount of communication overhead, which grows enormously with the number of BSs. Moreover, the coverage holes incurred by BS sleeping will also degrade the Quality of Service (QoS) performance of User Equipment (UE). To tackle this problem, we propose a Distance-Sensitive Distributed Repulsive Sleeping Strategy (DSDRSS) inspired by Hard Core Point Process (HCPP). DSDRSS realizes sleeping operations through the cooperation between SBSs in a Sleeping Cluster (SC), and does not rely on the feedback links between Small Base Stations (SBSs) and the control center. As a result, DSDRSS can not only enable flexible perception of traffic changes in sleeping area but also produce less communication overhead. Furthermore, we derive the coverage probability of UEs under the proposed scheme in terms of bandwidth resource and transmission rate constraints. Simulation results show that the proposed scheme can achieve equivalent coverage compared with the classic Random Sleep Strategy (RSS) and the General Repulsive Sleep Strategy (GRSS) with a much lower overhead cost.","PeriodicalId":201746,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"78 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":"114557698","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

Performance Analysis of Outage and Average Sum Rate of Sparse Code Division Multiple Access in Fog Radio Access Networks 雾型无线接入网稀疏码分多址中断和平均和率性能分析

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674502

Yi Gu, Mingfeng Xu, Zhendong Mao, Y. Ai, Shuqing Bu

引用次数: 1

A Blind Source Separation Approach Based on Normalized Convex Perimeter 一种基于规格化凸周的盲源分离方法

2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) Pub Date : 2018-08-01 DOI: 10.1109/ICCChinaW.2018.8674470

Liu Yang, Hang Zhang, Yang Cai, Liming Hu

引用次数: 0