EAI Endorsed Trans. Mob. Commun. Appl.最新文献_第6页

A Non-Cooperative Approach to the Joint Subcarrier and Power Allocation Problem in Multi-Service SCFDMA Networks 多业务SCFDMA网络中联合子载波和功率分配问题的非合作方法

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2016-06-20 DOI: 10.4108/eai.20-6-2016.151515

Eirini-Eleni Tsiropoulou, Ioannis Ziras, S. Papavassiliou

{"title":"A Non-Cooperative Approach to the Joint Subcarrier and Power Allocation Problem in Multi-Service SCFDMA Networks","authors":"Eirini-Eleni Tsiropoulou, Ioannis Ziras, S. Papavassiliou","doi":"10.4108/eai.20-6-2016.151515","DOIUrl":"https://doi.org/10.4108/eai.20-6-2016.151515","url":null,"abstract":"In this paper a joint resource allocation problem is studied in a multi-service Single Carrier FDMA (SC-FDMA) wireless network. Mobile users request various services with different Quality of Service (QoS) characteristics and they determine in a distributed and non-cooperative manner a joint subcarrier and power allocation towards fulfilling their QoS prerequisites. Initially, a well-designed utility function is formulated to appropriately represent users’ diverse QoS prerequisites with respect to their requested service. The subcarriers allocation problem is solved based on a multilateral bargaining model, where users are able to select different discount factors to enter the bargaining game, thus better expressing their different needs in system resources with respect to their requested service. The subcarriers mapping is realized based either on the localized SC-FDMA method where the subcarriers are sequentially allocated to the users or the distributed SC-FDMA via considering the maximum channel gain policy, where each subcarrier is allocated to the user with the maximum channel gain. Given the subcarriers assignment, an optimization problem with respect to users’ uplink transmission power is formulated and solved, in order to determine the optimal power allocation per subcarrier assigned to each user. Finally, the performance of the proposed framework is evaluated via modeling and simulation and extensive numerical results are presented.","PeriodicalId":299985,"journal":{"name":"EAI Endorsed Trans. Mob. Commun. Appl.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131911263","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

Load Balancing Techniques for Dynamic Gateway Selection in LTEWireless Networks lte无线网络中动态网关选择的负载均衡技术

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2016-06-20 DOI: 10.4108/eai.20-6-2016.151518

Sakshi Patni, Aditya Hegde, K. Sivalingam

引用次数: 1

Evaluation of different signal propagation models for a mixed indoor-outdoor scenario using empirical data 利用经验数据评估室内外混合场景下不同的信号传播模型

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2016-06-20 DOI: 10.4108/eai.20-6-2016.151519

O. Artemenko, Alina Rubina, A. Nayak, Sanjeeth Baptist Menezes, A. Mitschele-Thiel

引用次数: 12

Buffer management for scalable video streaming 缓冲管理的可扩展视频流

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2016-06-18 DOI: 10.4108/eai.13-9-2017.153337

Amparito A. Morales Figueroa, L. Favalli

引用次数: 1

Distributed Call Admission Control for DESYNC-TDMA in Mobile Ad Hoc Networks 移动自组织网络中DESYNC-TDMA的分布式呼叫准入控制

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262443

Bongsoo Roh, Myoung-hun Han, Mijeong Hoh, Hwi-Sung Park, Kwangsoo Kim, B. Roh

引用次数: 6

Biologically-inspired adaptive routing protocol with stochastic route exploration 具有随机路径探索的生物启发自适应路由协议

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262489

Tomohiro Nakao, J. Teramae, N. Wakamiya

{"title":"Biologically-inspired adaptive routing protocol with stochastic route exploration","authors":"Tomohiro Nakao, J. Teramae, N. Wakamiya","doi":"10.4108/eai.3-12-2015.2262489","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262489","url":null,"abstract":"Rapid increase in amount of traffic and the number of users of information communication networks requires adaptive routing protocols that can properly respond to unexpected change of communication environment such as rapid and large fluctuation of traffic. While distributed routing protocols that use only local state of the network have been expected to suitable for adaptive routing on large scale net- work, the lack of global information of the network often makes it difficult to promptly respond to traffic changes of the network when it occurs at out of the local scope. In this paper, based on the biologically-inspired attractor selection model, we propose a distributed routing protocol with active and stochastic route exploration. Acquiring current state of the network beyond its local scope by utilizing stochastic nature of the protocol, the routing protocol can efficiently respond to rapid change of traffic demand on the network. In order to avoid destabilization of routings due to the exploration, we introduce a short-term memory term to the governing equation of the protocol. We also confirm that the protocol successfully balances rapid exploration with stable routing owing to the memory term by numerical simulations.","PeriodicalId":299985,"journal":{"name":"EAI Endorsed Trans. Mob. Commun. Appl.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116228766","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

Abundance of connected motifs in transcriptional networks, a case study using random forests regression 转录网络中大量的连接基序，一个使用随机森林回归的案例研究

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262520

Khajamoinuddin Syed, Bhanu K. Kamapantula, Michael L. Mayo, E. Perkins, P. Ghosh

{"title":"Abundance of connected motifs in transcriptional networks, a case study using random forests regression","authors":"Khajamoinuddin Syed, Bhanu K. Kamapantula, Michael L. Mayo, E. Perkins, P. Ghosh","doi":"10.4108/eai.3-12-2015.2262520","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262520","url":null,"abstract":"Biological network topologies are known to be robust despite internal and external perturbances. Motifs such as feed-forward loop and bifan have been marked to contribute to structural and functional significance. While network characteristics such as network density, average shortest path, and centrality measures etc., have been well studied, modular characteristics have not been explored in similar detail. Motif connectivity might play a major role in regulation under high perturbations. Connected motif abundance can skew network robustness as well. To test this hypothesis, we study the significance of the two connected feed-forward \u0000 \u0000loop motifs using random forest regression modeling. We define thirty eight network features, fifteen of which are static and dynamic features and the other twenty three are two feed-forward loop connected motif features. We identify significant features among these using random forests regression and create models that can be used to train and predict the robustness of the biological networks. The performance of these models is measured using coefficient of determination metric and the significance of the features themselves is \u0000 \u0000characterized using feature importance. Our experiments \u0000 \u0000reveal that connected feed-forward loop motifs do not contribute to the robustness of network when models are created with all 38 features. For models with only connected motif features, the performance of a specific rhombus motif under high loss stands out.","PeriodicalId":299985,"journal":{"name":"EAI Endorsed Trans. Mob. Commun. Appl.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121559279","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

Real time event-based segmentation to classify locomotion activities through a single inertial sensor 基于事件的实时分割，通过单个惯性传感器对运动活动进行分类

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2015-12-22 DOI: 10.4108/eai.14-10-2015.2261695

Benish Fida, Daniele Bibbo, I. Bernabucci, A. Proto, S. Conforto, M. Schmid

{"title":"Real time event-based segmentation to classify locomotion activities through a single inertial sensor","authors":"Benish Fida, Daniele Bibbo, I. Bernabucci, A. Proto, S. Conforto, M. Schmid","doi":"10.4108/eai.14-10-2015.2261695","DOIUrl":"https://doi.org/10.4108/eai.14-10-2015.2261695","url":null,"abstract":"We propose an event-based dynamic segmentation technique for the classification of locomotion activities, able to detect the mid-swing, initial contact and end contact events. This technique is based on the use of a shank-mounted inertial sensor incorporating a tri-axial accelerometer and a tri-axial gyroscope, and it is tested on four different locomotion activities: walking, stair ascent, stair descent and running. Gyroscope data along one component are used to dynamically determine the window size for segmentation, and a number of features are then extracted from these segments. The event-based segmentation technique has been compared against three different fixed window size segmentations, in terms of classification accuracy on two different datasets, and with two different feature sets. The dynamic event-based segmentation showed an improvement in terms of accuracy of around 5% (97% vs. 92% and 92% vs. 87%) and 1-2% (89% vs. 87% and 97% vs. 96%) for the two dataset, respectively, thus confirming the need to incorporate an event-based criterion to increase performance in the classification of motion activities.","PeriodicalId":299985,"journal":{"name":"EAI Endorsed Trans. Mob. Commun. Appl.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115329332","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: 15

PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns PhonoSys:新生儿移动心音诊断系统

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2015-12-22 DOI: 10.4108/eai.14-10-2015.2261614

A. Amiri, G. Armano, Amir-Mohammad Rahmani, K. Mankodiya

引用次数: 8

Mobile device-based mindfulness intervention promotes emotional regulation during anticipatory stress 基于移动设备的正念干预促进预期压力期间的情绪调节

EAI Endorsed Trans. Mob. Commun. Appl. Pub Date : 2015-12-22 DOI: 10.4108/eai.14-10-2015.2261617

E. Mayor, Liudmila Gamaiunova

引用次数: 2