2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)最新文献_第7页

Minimizing Congestion Impairment of Network Update in SDN: A Flow-Based Solution 最小化SDN网络更新拥塞损害:一种基于流的解决方案

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555660

Chaozhun Wen, Peng Yang, Qiong Liu, Jingjing Luo, Li Yu

{"title":"Minimizing Congestion Impairment of Network Update in SDN: A Flow-Based Solution","authors":"Chaozhun Wen, Peng Yang, Qiong Liu, Jingjing Luo, Li Yu","doi":"10.1109/WCSP.2018.8555660","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555660","url":null,"abstract":"In software defined networks, network states are frequently updated by controllers. Unfortunately, due to resource and time constraints, there are scenarios in which transient congestion and packet loss are inevitable. In this regard, minimizing the packet loss ratio becomes crucial. Previous efforts on congestion-free updates suggest link-based solutions, which aim at minimizing the overloaded data volume on the bottleneck links. Observing the fact that the least overloaded data volume on links still does not guarantee the least packet loss, in this paper, we propose a flow-based update solution that directly minimizes the packet loss by jointly optimizing the congestion duration and rate limitation. Specifically, congestion impairment is defined to jointly accommodate the flow's importance and packet loss. Then, we present the FBU (Flow-Based Update problem), which minimizes the congestion impairment on a flow basis. To deal with the NP-hardness of this optimization problem, we propose MIC, which is an efficient two-phase heuristic algorithm based on the relationship between rate limitation, congestion duration and packet loss. Experimental results show that MIC can reduce up to 84% of packet loss compared to previous algorithms.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130057141","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

DOA estimation for large array with nonuniform spacing based on sparse representation 基于稀疏表示的非均匀间距大阵列DOA估计

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555584

Bin Zhou, Qing Wang, H. Quan

引用次数: 0

Two-Dimensional DOA Estimation with Modified Parallel Coprime Linear Sub-Arrays 基于改进并行协素线性子阵列的二维DOA估计

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555570

S. Pandav, P. Ubaidulla

引用次数: 0

Towards Fresh and Low-Latency Content Delivery in Vehicular Networks: An Edge Caching Aspect 在车载网络中实现新鲜和低延迟的内容交付:一个边缘缓存方面

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555643

Shan Zhang, Junjie Li, Hongbin Luo, Jie Gao, Lian Zhao, Xuemin Shen

{"title":"Towards Fresh and Low-Latency Content Delivery in Vehicular Networks: An Edge Caching Aspect","authors":"Shan Zhang, Junjie Li, Hongbin Luo, Jie Gao, Lian Zhao, Xuemin Shen","doi":"10.1109/WCSP.2018.8555643","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555643","url":null,"abstract":"Mobile edge caching which exploits the similarity in content requests to reduce duplicated transmissions, is considered as an effective solution to address the challenge of increasing mobile traffic demand and constrained radio resources. Different from conventional networks, vehicular networks are highly dynamic, and thus the cached contents should update timely to guarantee the freshness of vehicle received information. However, content update also consumes radio resource and results in a tradeoff between content freshness and service latency, calling for the joint optimization of content update, delivery, and radio resource allocation. To address this issue, this work proposes a cache-assisted lazy update and delivery (CALUD) scheme to balance content freshness and service latency in vehicular networks. Firstly, the age of information (AoI) and service latency of vehicular-received contents are derived in closed form under the CALUD scheme. Then, the CALUD scheme is further optimized jointly with the radio resource allocation from the network aspect to meet the diversified service latency and AoI requirements of different applications. Extensive simulations are conducted to validate the theoretical analysis using the OMNET++ simulator. The results demonstrate that the proposed CALUD scheme can reduce the service latency to milliseconds while guaranteeing the required content freshness.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122572168","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: 47

Cache-Enabled Adaptive Bit Rate Streaming via Deep Self-Transfer Reinforcement Learning 基于深度自转移强化学习的缓存自适应比特率流

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555916

Zhengming Zhang, Yaru Zheng, Chunguo Li, Yongming Huang, Luxi Yang

引用次数: 6

An Incentive Framework for Collaborative Sensing in Fog Networks 雾网络协同传感的激励框架

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555644

Chongchong Zhang, Fei Shen, Guowei Zhang, F. Qin, Feng Yan, P. Martins

{"title":"An Incentive Framework for Collaborative Sensing in Fog Networks","authors":"Chongchong Zhang, Fei Shen, Guowei Zhang, F. Qin, Feng Yan, P. Martins","doi":"10.1109/WCSP.2018.8555644","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555644","url":null,"abstract":"As the big data era arrives, massive data traffic and applications generated by various terminal devices need to be processed in real time. To relieve the pressure of cloud computing on link congestion, delay, and energy consumption caused by the long distance between terminals and cloud server, the promising fog computing has been proposed. The fog network consisting of several fog clusters is considered, in which a fog controller $(Gamma mathrm{C})$ collects all the resource information of all its fog nodes (FNs). In order to better serve the terminal nodes, different FCs are willing to exchange the information of their FNs and share their services to some extent. Therefore, in this paper, we propose a novel incentive framework for collaborative sensing to motivate the fog cluster to provide service for other fog clusters. The SRs use the computation reward prices to motivate the SP to provide more computational capability to complete the tasks. The utility functions of the SRs and the SP are proposed, considering the payment for task computation, the task delay and the computation cost. The existences of the global optimums of both the utilities for the SRs the SP are proved. Numerous simulations verify our theoretical analyses and indicate the importance of our proposed incentive framework for collaborative sensing between fog clusters subscribed to different mobile providers in the fog network.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124083509","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

A Cooperative Outage Detection Approach Using an Improved RBF Neural Network with Genetic ABC Algorithm 基于遗传ABC算法的改进RBF神经网络协同停机检测方法

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555922

Yuting Wang, Peng Long, Nan Liu, Zhiwen Pan, X. You

引用次数: 5

Adaptive SVR Denoising Algorithm for Fetal Monitoring System 胎儿监测系统的自适应SVR去噪算法

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555621

Zhenyuan Wang, Jianjun Wei, Xiaohui Li, Zelin Liu, F. Su

引用次数: 1

Power Allocation for Target Positioning in Asynchronous Wireless Radar Sensor Networks 异步无线雷达传感器网络中目标定位的功率分配

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555703

Liyuan Song, Tingting Zhang, Qinyu Zhang

引用次数: 1

Graph-Theoretic Approach for Cache Placement and Delay optimization in Cache-Enabled Mobile Networks 基于图论的移动网络缓存放置和延迟优化方法

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555863

Fang Dong, Tianyu Wang, Shaowei Wang

引用次数: 1