2019 IEEE Global Communications Conference (GLOBECOM)最新文献_第8页

Slice-Aware Capacity Expansion Strategies in Multi-Tenant Networks 多租户网络中感知片的容量扩展策略

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013424

Özgür Umut Akgül, Ilaria Malanchini, A. Capone

{"title":"Slice-Aware Capacity Expansion Strategies in Multi-Tenant Networks","authors":"Özgür Umut Akgül, Ilaria Malanchini, A. Capone","doi":"10.1109/GLOBECOM38437.2019.9013424","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013424","url":null,"abstract":"5G introduces a broad range of new applications with diverse and demanding performance targets that require substantial investments on the radio access infrastructure. The network slicing model allows to share resources and to distribute responsibilities for network capacity expansion to infrastructure providers and for identifying resource needs to slice tenants specialized in different application domains. In this paper, we focus on the problem of taking capacity expansion decisions considering the traffic needs and performance requirements of network slices instantiated on the access infrastructure. We build on a techno-economic model that allows to describe the trade of resources between infrastructure provider and tenants. The model is based on a resource market that generates revenues for matching infrastructure recurrent costs, but also extra revenues for capacity expansion and technology upgrade. Being the pricing scheme based on resource scarcity in different geographical regions, we propose to guide capacity expansion decisions through an automatic algorithm based on utility functions and available budget generated by the market. Results show the effectiveness of the approach proposed.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"50 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91544454","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

DNN-Based Overhead Reduction for High-Quality Soft Delivery 基于dnn的高质量软传输开销降低

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014124

T. Fujihashi, T. Koike-Akino, Takashi Watanabe, P. Orlik

{"title":"DNN-Based Overhead Reduction for High-Quality Soft Delivery","authors":"T. Fujihashi, T. Koike-Akino, Takashi Watanabe, P. Orlik","doi":"10.1109/GLOBECOM38437.2019.9014124","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9014124","url":null,"abstract":"Soft delivery, i.e., analog transmission, has been proposed to provide graceful video/image quality even in unstable wireless channels. However, existing analog schemes require a significant amount of metadata for power allocation and decoding operations. It causes large overheads and quality degradation due to rate and power losses. Although the amount of overheads can be reduced by introducing Gaussian Markov random field (GMRF) model, the model mismatch can degrade reconstruction quality. In this paper, we propose a novel analog transmission scheme to simultaneously reduce the overheads and yield better reconstruction quality. The proposed scheme uses a deep neural network (DNN) for metadata compression and decompression. Specifically, the metadata is compressed into few variables using the proposed DNN-based metadata encoder before transmission. The variables are then transmitted and decompressed at the receiver for high-quality video/image reconstruction. Evaluations using test images demonstrate that our proposed scheme reduces overheads by 80.0% with 11.2 dB improvement of reconstruction quality compared to the existing analog transmission schemes.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"17 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90246101","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

Dynamic Cache Placement, Node Association, and Power Allocation in Fog Aided Networks 雾辅助网络中的动态缓存放置、节点关联和功率分配

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013157

Ruoguang Li, Li Wang, Yanmin Gong, Mei Song, M. Pan, Zhu Han

{"title":"Dynamic Cache Placement, Node Association, and Power Allocation in Fog Aided Networks","authors":"Ruoguang Li, Li Wang, Yanmin Gong, Mei Song, M. Pan, Zhu Han","doi":"10.1109/GLOBECOM38437.2019.9013157","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013157","url":null,"abstract":"In this paper, we investigate the issue of resource allocation for secure energy efficient communication in a multiuser orthogonal frequency division multiplexing (OFDM) based full-duplex (FD) relaying network in the presence of a passive eavesdropper whose channel state information (CSI) is not perfectly known. Our goal is to maximize the overall secure energy efficiency (SEE), which presents the relationship between energy consumption and secrecy performance. In the context of multiuser communications, such a resource allocation strategy jointly combines subcarrier permutation, subcarrier pair allocation, as well as power allocation altogether. The considered optimization problem is formulated as a mixed integer nonconvex programming problem, which is generally NP hard. Analyzing the property of such a problem, we first use the Dinkelbach's method to eliminate the fractional form and then exploit Generalized Benders decomposition to decouple the original problem into a master problem for pure integer programming and a primal problem for nonlinear programming. More specific, given the nonconvexity of the primal problem, we accordingly transform it into an equivalent relaxed convex problem by applying dual decomposition, alternative convex search, and difference of convex function programming. The numerical results are provided to validate the theoretical analysis and to demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"25 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88943336","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

Destination Driven Computation Offloading in Internet of Things 物联网中目标驱动的计算卸载

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013166

Yunkai Wei, Jie Zhang, Ning Yang, S. Leng

{"title":"Destination Driven Computation Offloading in Internet of Things","authors":"Yunkai Wei, Jie Zhang, Ning Yang, S. Leng","doi":"10.1109/GLOBECOM38437.2019.9013166","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013166","url":null,"abstract":"Computation offloading can be widely used in Internet of Things (IoT), since most IoT devices do not have enough resource for complex computing. According to the target of computing results, computation offloading can be divided into source driven pattern and destination driven pattern. Currently, most studies focus on the former, where the results should be returned to the task source after computing. Another widely existing pattern, i.e., destination driven computation offloading, where the results should be transmitted to some other node instead of the task source, is rarely noticed. In this paper we propose a scheme of Destination Driven Step-by-step Computation Offloading along the Route (DDSCOR), which optimizes the delay from the source node releasing the task to the results arriving the destination node. Specifically, the proposed scheme combines the data transmission and computation offloading together, dividing the computing task into several procedures and offloading them to appropriate nodes along the data transmission route. Simulation results show that the proposed scheme can approximately achieve the optimal offloading- transmission combined route, and tremendously reduce the overall latency in resource limited IoT.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"63 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89104761","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

Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles 协同网联车辆的多智能体深度强化学习

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014151

Dohyun Kwon, Joongheon Kim

引用次数: 10

Performance Evaluation of Big Data Processing at the Edge for IoT-Blockchain Applications 面向物联网-区块链应用的边缘大数据处理性能评估

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013329

Zi Ee Lee, Raphael Liang Hui Chua, S. Keoh, Y. Ohba

引用次数: 7

2TM-MAC: A Two-Tier Multi-Channel Interference Mitigation MAC Protocol for Coexisting WBANs 2TM-MAC:用于共存wban的两层多通道干扰缓解MAC协议

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014118

Xiaoming Yuan, Jiaxin Han, Jun Pan, Kuan Zhang, Changle Li, Qiang Ye

{"title":"2TM-MAC: A Two-Tier Multi-Channel Interference Mitigation MAC Protocol for Coexisting WBANs","authors":"Xiaoming Yuan, Jiaxin Han, Jun Pan, Kuan Zhang, Changle Li, Qiang Ye","doi":"10.1109/GLOBECOM38437.2019.9014118","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9014118","url":null,"abstract":"Wireless Body Area Networks (WBANs) have been developed rapidly with the increasing popularity of wireless network and wearable technologies. The inherent characteristics of convenience and efficiency for health monitoring facilitate the depth and width of WBAN applications. However, the inter-WBAN interference problem affects the network performance in intensive WBAN scenarios, degrading reliability and increasing latency of health data. In this paper, we propose a Two-Tier Multi-channel Medium Access Control (2TM-MAC) protocol with interference mitigation for reliable health monitoring. Specially, the 2TM-MAC establishes an inter-WBAN interference matrix for every WBAN to show the mutual interference among coexisting WBANs. We design a multi-channel selection algorithm at the first tier to select different numbers of channels for each WBAN to avoid inter-WBAN interference and collisions. At the second tier, the hub of each WBAN schedules the available channels assigned from the first tier to sensor nodes according to their traffic requirements, mitigating the intra-WBAN interference as well. 2TM-MAC protocol enhances the reliability of emergency data and service experience in healthcare applications. Simulation results show the 2TM-MAC protocol significantly improves the network throughput and decreases the average packet delay compared with IEEE 802.15.6 for densely deployed coexisting WBANs scenarios.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83012153","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

A Two-Step Neural Network Based Beamforming in MIMO without Reference Signal 无参考信号MIMO中基于两步神经网络的波束形成

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013188

Yuyan Zhao, Yanan Liu, G. Boudreau, A. B. Sediq, H. Abou-zeid, Xianbin Wang

{"title":"A Two-Step Neural Network Based Beamforming in MIMO without Reference Signal","authors":"Yuyan Zhao, Yanan Liu, G. Boudreau, A. B. Sediq, H. Abou-zeid, Xianbin Wang","doi":"10.1109/GLOBECOM38437.2019.9013188","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013188","url":null,"abstract":"With the deployment of large scale antenna array in millimeter wave (mmWave) band, the resolution of beamforming has been dramatically improved. To reduce the long beam-training process using reference signal (RS) in codebook-based high resolution beamforming, hierarchical codebook is often used to reduce the number of beam-training symbols. However, the large beam-training overhead is still the bottleneck for overall system performance improvement in term of the true achievable data rate. In this paper, with the angle reciprocity in frequency duplex division (FDD) system, a neural network based line of sight path angle of arrival (LAoA) estimation algorithm is proposed for beam selection, in order to achieve the non-RS-aided codebook-based beamforming. To further achieve high accuracy LAoA estimation, two-step neural network models are designed to capture the relationship between the receiving signal and the corresponding LAoA. The numerical results show that the proposed algorithm outperforms the benchmark algorithm in terms of sum weighted data rate (SWR) and sum data rate (SR). In the low signal to noise ratio (SNR) environments with a couple of uplink signal snapshots, our algorithm also performs better than MUSIC based beam selection algorithm.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"61 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79618447","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

Increasing Capacity of the Clos Structure for Optical Switching Networks 光交换网络Clos结构容量的增加

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014232

Toru Mano, Takeru Inoue, Kimihiro Mizutani, Osamu Akashi

引用次数: 1

Energy Efficient UAV Placement for Multiple Users in IoT Networks 物联网网络中多用户的节能无人机布局

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014078

Ankur Pandey, Deepali Kushwaha, Sudhir Kumar

引用次数: 3