... downlink power control andmulticode receivers for downlink transmissions in high speedUMTS,” Sayadi et al. investigate how to combine downlinkpower control and joint multicode detection for ... interests are in general wireless communication, mobile networks, and system per-formance analysis; and in particular QoS-aware radio resource management, joint study of wireless physical/link ... research inter-ests are in the area of radioresourcemanagement techniques andMAC and signaling layer protocols for high-speed wireless-accessnetworks using OFDMA/CDMA technologies including 3G...
... chain incorpo-rating 16-QAM non-uniform constellations. In this schemethere are 2 parallel processing chains, one for the basic infor-mation stream and the other for the enhancement informa-tion.4. ... km/hselective combining and increasing the number of received radio links provides reduction in the transmitted power in- dependently of the combining technique. In Figure 8, for the reference ... selective combining and maximal ratio combining over1 and 2 radio links (RLs) for various channel models andTTI= 40 ms. In Figure 16, the performance of the conven-tional 1 radio link (RL) reception...
... CA.Kevin Duh and Katrin Kirchhoff. 2008. Beyond log-linear models: Boosted minimum error rate training for n-best ranking. In Proceedings of the 46th AnnualMeeting of the Association for Computational ... effectiveidea is to randomly divide training data into evenlysized shards, use stochastic learning on each shard in parallel, while performing 1/2regularization for joint feature selection on the ... been content with tuning weights for largefeature sets on small development data. Ev-idence from machine learning indicates thatincreasing the training sample size results in better prediction....
... according tothe e nvironment, and optimize its performance withoutloss of other femtocells.3.2.1. Reinforcement- learning Q -learning is one kind of reinforcement- learning. The reinforcement- learning ... that state s transforms to s’ afterexecuting action a.3.2.2. Q -learning Compared with other reinforcement- learning algorithms,Q -learning has the advantages that it can directly findthe optimal ... Frequency reuse techniques for attaining both coverageand high spectral efficiency in ofdma cellular systems, in WCNC 201011. R Sutton, A Barto, Reinforcement Learning: An Introduction (MIT Press,...
... taking the instantaneous stateof all links into account. In practice, not all the interferencemessages will be heard. Then the decisions will take only localinformation into account in the form ... feasible to implement in practice,providing significant performance gains over a conventionalsystem, especially inscenarios with harsh interference.Moreover, the gain from having interference awareness ... scheduler. In PFscheduler, the network reuses resources even if the generatedinterference is severe. In contrast, applying IA schedulerresults in a natural reuse pattern for the radio resources....
... RRC (radio resource controller)is located. A RRA collects information on radio resourcesand supervises the MAC and PHY functions including powercontrol. A RRC collects radioresource information ... cell-edge and cell-interior users, respectively. In Section 4, we introduce metrics for describing a mechanism for classifying users as cell-edgeand cell-interior users, and explain initial user classification. In ... between neighboring BSs within the network.We use RRM to refer to both radioresource management and radioresource managers. If dynamic FFR is deployed in the system, designated neighboring BSs of...
... using dialogue simula-tion and reinforcement learning. In Proceedings ofHLT.Satinder P. Singh, Michael J. Kearns, Diane J. Litman,and Marilyn A. Walker. 1999. Reinforcement learn-ing for ... Re-inforcement Learning: An Introduction. The MITPress.Richard S. Sutton, David McAllester, Satinder Singh,and Yishay Mansour. 2000. Policy gradient meth-ods forreinforcementlearning with ... SetupDatasets For the Windows domain, our datasetconsists of 128 documents, divided into 70 for training, 18 for development, and 40 for test. In the puzzle game domain, we use 50 tutorials,divided into...
... found in the “Managing Resource Pools” section of the vSphere ResourceManagement Guide [2].Understanding Memory ResourceManagement in VMware® ESX™ ServerW H I T E P A P E R VMware, Inc. ... PAPERballooning. Note that the above two congurations where swapping outperforms ballooning are rare pathological cases for ballooning performance. In most cases, using ballooning achieves ... Higherconsolidationratio:Withmemoryovercommitment,eachvirtualmachinehasasmallerfootprint in hostmemoryusage,making it possible to t more virtual machines on the host while still achieving good performance for all virtual machines. For example,...
... 2012.c2012 Association for Computational LinguisticsDiscriminative LearningforJoint Template FillingEinat MinkovInformation SystemsUniversity of HaifaHaifa 31905, Israeleinatm@is.haifa.ac.ilLuke ... semi-supervised learningfor information ex-traction. In Proceedings of WSDM.William W. Cohen, Einat Minkov, and Anthony Toma-sic. 2005. Learning to understand web site update re-quests. In Proceedings ... Ad-vances in Neural Information Processing Systems(NIPS).Jenny Rose Finkel, Trond Grenager, , and Christopher D.Manning. 2005. Incorporating non-local informationinto information extraction...
... Activities2.1.2.2.Unlicensed BandLicensed Band3.Inter-Domain RadioResource Management 3.1.3.2.3.3. Radio Resource Broker Concept Resource Usage Optimization Radio Resource Redistribution4.Workload Characterization4.1.4.2.MeasurementEmpirical ... service providers. Therefore, various customers may perceive differently for the exact same service. The intrinsic QoS class, including Information,Computational, Engineering, and Technology levels, ... shaping,policing, pricing, packet classifying, queueing and scheduling. In mobileand wireless environments, error control and ah hoc routing are also veryimportant issues.(i)Trafficshaping,...
... workers; and 40.9% for other categories of health workers) [1].Table 7: Information gaps in terms of management and planning for HRHInformation gaps Management and utilization of existing HRH - Recruitment ... not for citation purposes)Human Resources for HealthOpen AccessResearchHuman resources for health planning and managementin the Eastern Mediterranean region: facts, gaps and forward thinking ... the need for developing evidence-basedguidelines for national human resources policy making,planning and management of HRH [14]. Work is in progress by the EMR regional office; its efforts are...
... responsible for human resource managementin the health facilities. The doctor isappointed by the head of the policlinic, and the head ofthe policlinic is appointed by the Ministry of Property Management. ... havingto continually access upper levels of management [16].Managers linked their lack of authority to their incapacityto penalize poor provider performance.Planning and human resourcemanagement ... workermotivation; innovative ways to increase salaries of healthworkers in resource- constrained settings should be con-sidered, one of which includes government prioritizationof certain key sectors for...
... Wiering et al., “Intelligent traffic light control,” Tech. Rep.UU-CS-2004-029, University Utrecht, 2004.[14] M. Wiering, “Multi-agent reinforcementlearningfor trafficlight control,” in Proceedings ... ofTransportation Engineering, vol. 129, no. 3, pp. 278–285, 2003.[12] S. Mikami and Y. Kakazu, “Genetic reinforcementlearning for cooperative traffic signal control,” in Proceedings of the 1st IEEEConference ... Advances in Signal ProcessingThey predicted each car’s total expected waiting time untilit arrived its destination given possible choices of relatedtraffic lights using reinforcement learning, and...
... exchange of HELLO messages is performed in a first step in order to obtain information about the neighboring sen-sor nodes. This exchange can be initiated by any node. In our scenario, we assume that ... neighboring nodes is used to send a requestto all these sensor nodes. Each node sends a reply includingits current profile (containing HW/SW info). This profile istaken as input for the following ... Lab scenario In our lab, we use the Robertino robot platform developed atthe Fraunhofer Institute AIS2running embedded Linux andMica2 sensor motes developed at UCB running TinyOS.3Wehave...