2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)最新文献_第6页

Robust cooperative beamforming against steering vector uncertainty in cognitive radio networks 认知无线电网络中航向矢量不确定性的鲁棒协同波束形成

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444858

M. Alam, Sudeep Bhattarai, Liang Hong, S. Shetty

{"title":"Robust cooperative beamforming against steering vector uncertainty in cognitive radio networks","authors":"M. Alam, Sudeep Bhattarai, Liang Hong, S. Shetty","doi":"10.1109/CCNC.2016.7444858","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444858","url":null,"abstract":"Transmit beamforming is one of the promising ways of accessing spectrum in an underlay cognitive radio network (CRN). In this paper, a robust cooperative transmit beamforming scheme is proposed for a mobile (or stationary) secondary receiver in a CRN where steering vector available at the distributed transmitters is error prone. The solution to the beamforming problem is based on stochastic optimization theory. Specifically, the proposed beamforming scheme achieves the following three objectives: i) probability of large-than-a-threshold for received power in the direction of the secondary receiver is maximized; ii) probabilities of less-than-a-threshold for received interference power in the direction of primary receivers are bounded; and iii) transmit power along the directions of the moving secondary receiver is forced to be uniform so as to ensure the same quality of service. Our simulation results demonstrate that the proposed robust cooperative beamformer can achieve noticeable bit-error-rate reductions for primary users as compared to the non-robust approach, where inaccuracy in the estimation of the steering vector is not considered, while ensuring almost the same quality of communication for the secondary user.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128178142","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 Channel Switching for high-definition peer-to-peer 802.11-based video streaming 动态通道切换高清点对点802.11视频流

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444865

Erin Sullivan, T. Johnson, Ben Lee

引用次数: 2

Scalable topology-based flow entry management in data center 数据中心中基于拓扑的可伸缩流入口管理

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444736

Chi-Hsiang Hung, Chao-Wei Huang, Li-Chun Wang, Chien Chen

{"title":"Scalable topology-based flow entry management in data center","authors":"Chi-Hsiang Hung, Chao-Wei Huang, Li-Chun Wang, Chien Chen","doi":"10.1109/CCNC.2016.7444736","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444736","url":null,"abstract":"Compared with current distributed networks, Software defined networking is an innovative technology to manage networks by a centralized controller with global visibility. OpenFlow is one kind of SDN protocols. It provides flow-level controllability of network traffic to simplify the management of the administrators of data center. Flow control rules used by OpenFlow in switch flow table are called flow entries. Modern commodity switches use TCAM to implement flow table because of its high matching speed. However, the general TCAM size of switch only accommodates up to thousands of flow entries due to its high cost-to-density ratio and high power consumption. It indicates that the maximal number of flow that can be controlled is restricted to the TCAM size of switch. That leads to several scalability issues, especially in a data center. In this paper, we propose a topology based flow entry management (TFEM) technique, which is a scalable and memory-efficient solution by exploiting the hierarchical topology characteristic to aggregate the uses of flow entries for most of the small flows in a data center. With the proposed downlink and uplink separated flow tables structure, our results show that TFEM can reduce the average number of flow entries by 50%~78% for fat-tree topology against the traditional SDN without any switch hardware modification.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114064946","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

On the performance of wireless source-location using TDOA measurements under poor geometry 差几何条件下使用TDOA测量的无线源定位性能研究

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444918

T. Zhang, Chun Zhang, Sheng Zhang, Zhihua Wang

引用次数: 1

Service differentiation strategy based on MACB factor for M2M Communications in LTE-A Networks 基于MACB因子的LTE-A网络M2M通信业务差异化策略

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444864

N. Zangar, Sami Gharbi, M. Abdennebi

{"title":"Service differentiation strategy based on MACB factor for M2M Communications in LTE-A Networks","authors":"N. Zangar, Sami Gharbi, M. Abdennebi","doi":"10.1109/CCNC.2016.7444864","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444864","url":null,"abstract":"One of the promising technologies which is being regarded in the future 5G standard long Term Evolution (LTE) Release 13 is Machine-to-Machine or M2M communications. It represents a key component of Internet of Things (IoT) and smart spaces. One of the most difficult challenges to support M2M communications is their huge number compared to available radio resources. Hence, to deal with random access channel (RACH) overload and to better control the access in LTE-A Networks, the 3GPP proposed the Access Class Barring (ACB) factor concept. In this paper, we proposed an algorithm to improve this method based on adaptive multiple ACB factors, according to M2M traffic category with respect to their access delay budget and drop rate (QoS parameters). Simulations were done for testing the effectiveness of our MACB scheme and show that using multiples ACB factors and dynamically adjusting them to the congestion level in addition to traffic type category increases the access probability and reduces overload. The obtained results were then compared to the basic ACB method and show that the access probability increases especially for high priority traffic.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126102351","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: 20

AirDraw: Leveraging smart watch motion sensors for mobile human computer interactions AirDraw:利用智能手表运动传感器进行移动人机交互

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444820

Danial Moazen, Seyed Sajjadi, A. Nahapetian

引用次数: 35

Energy saving approaches for video streaming on smartphone based on QoE modeling 基于QoE建模的智能手机视频流节能方法

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444739

Luis Guillermo Martinez Ballesteros, Selim Ickin, M. Fiedler, J. Markendahl, Konrad Tollmar, K. Wac

引用次数: 15

An analysis and improvement of congestion control in the CoAP Internet-of-Things protocol

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444906

R. Bhalerao, S. Subramanian, J. Pasquale

引用次数: 44

OA-DVFA: A Distributed Virtual Forces-based Algorithm to monitor an area with unknown obstacles OA-DVFA:一种基于分布式虚拟力的未知障碍物监测算法

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444933

I. Khoufi, P. Minet, A. Laouiti

引用次数: 4

Downlink resource reuse for Device-to-Device communication underlaying cellular networks using a generalized Knapsack framework 基于广义背包框架的蜂窝网络设备对设备通信下行链路资源重用

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444751

Foad Hajiaghajani, M. Rasti

引用次数: 5