reinforcement learning for joint radio resource management in lteumts scenarios

... downlink power control and multicode receivers for downlink transmissions in high speed UMTS,” Sayadi et al. investigate how to combine downlink power 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 radio resource management techniques and MAC and signaling layer protocols for high-speed wireless-access networks using OFDMA/CDMA technologies including 3G...

Ngày tải lên: 22/06/2014, 22:20

... chain incorpo- rating 16-QAM non-uniform constellations. In this scheme there are 2 parallel processing chains, one for the basic infor- mation stream and the other for the enhancement informa- tion. 4. ... km/h selective 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 over 1 and 2 radio links (RLs) for various channel models and TTI = 40 ms. In Figure 16, the performance of the conven- tional 1 radio link (RL) reception...

Ngày tải lên: 22/06/2014, 22:20

Ngày tải lên: 26/11/2013, 20:57

... 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 Annual Meeting of the Association for Computational ... effective idea is to randomly divide training data into evenly sized shards, use stochastic learning on each shard in parallel, while performing  1 / 2 regularization for joint feature selection on the ... been content with tuning weights for large feature sets on small development data. Ev- idence from machine learning indicates that increasing the training sample size results in better prediction....

Ngày tải lên: 19/02/2014, 19:20

... according to the e nvironment, and optimize its performance without loss 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’ after executing action a. 3.2.2. Q -learning Compared with other reinforcement- learning algorithms, Q -learning has the advantages that it can directly find the optimal ... Frequency reuse techniques for attaining both coverage and high spectral efficiency in ofdma cellular systems, in WCNC 2010 11. R Sutton, A Barto, Reinforcement Learning: An Introduction (MIT Press,...

Ngày tải lên: 20/06/2014, 22:20

... taking the instantaneous state of all links into account. In practice, not all the interference messages will be heard. Then the decisions will take only local information into account in the form ... feasible to implement in practice, providing significant performance gains over a conventional system, especially in scenarios with harsh interference. Moreover, the gain from having interference awareness ... scheduler. In PF scheduler, the network reuses resources even if the generated interference is severe. In contrast, applying IA scheduler results in a natural reuse pattern for the radio resources....

Ngày tải lên: 21/06/2014, 05:20

... RRC (radio resource controller) is located. A RRA collects information on radio resources and supervises the MAC and PHY functions including power control. A RRC collects radio resource information ... cell-edge and cell- interior users, respectively. In Section 4, we introduce metrics for describing a mechanism for classifying users as cell-edge and cell-interior users, and explain initial user classification. In ... between neighboring BSs within the network. We use RRM to refer to both radio resource management and radio resource managers. If dynamic FFR is deployed in the system, designated neighboring BSs of...

Ngày tải lên: 21/06/2014, 11:20

Ngày tải lên: 31/07/2013, 09:43

Ngày tải lên: 05/09/2013, 10:17

Ngày tải lên: 01/01/2014, 18:47

... using dialogue simula- tion and reinforcement learning. In Proceedings of HLT. Satinder P. Singh, Michael J. Kearns, Diane J. Litman, and Marilyn A. Walker. 1999. Reinforcement learn- ing for ... Re- inforcement Learning: An Introduction. The MIT Press. Richard S. Sutton, David McAllester, Satinder Singh, and Yishay Mansour. 2000. Policy gradient meth- ods for reinforcement learning with ... Setup Datasets For the Windows domain, our dataset consists 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...

Ngày tải lên: 17/03/2014, 01:20

... found in the “Managing Resource Pools” section of the vSphere Resource Management Guide [2]. Understanding Memory Resource Management in VMware® ESX™ Server W H I T E P A P E R VMware, Inc. ... PAPER ballooning. Note that the above two congurations where swapping outperforms ballooning are rare pathological cases for ballooning performance. In most cases, using ballooning achieves ... Higherconsolidationratio:Withmemoryovercommitment,eachvirtualmachinehasasmallerfootprint in hostmemoryusage, making it possible to t more virtual machines on the host while still achieving good performance for all virtual machines. For example,...

Ngày tải lên: 17/03/2014, 15:20

Ngày tải lên: 24/03/2014, 00:21

... 2012. c 2012 Association for Computational Linguistics Discriminative Learning for Joint Template Filling Einat Minkov Information Systems University of Haifa Haifa 31905, Israel einatm@is.haifa.ac.il Luke ... semi-supervised learning for 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 information into information extraction...

Ngày tải lên: 30/03/2014, 17:20

... Activities 2.1. 2.2. Unlicensed Band Licensed Band 3. Inter-Domain Radio Resource Management 3.1. 3.2. 3.3. Radio Resource Broker Concept Resource Usage Optimization Radio Resource Redistribution 4. Workload Characterization 4.1. 4.2. Measurement Empirical ... 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 mobile and wireless environments, error control and ah hoc routing are also very important issues. (i) Traffic shaping,...

Ngày tải lên: 01/06/2014, 12:51

... workers; and 40.9% for other categories of health workers) [1]. Table 7: Information gaps in terms of management and planning for HRH Information gaps Management and utilization of existing HRH - Recruitment ... not for citation purposes) Human Resources for Health Open Access Research Human resources for health planning and management in the Eastern Mediterranean region: facts, gaps and forward thinking ... the need for developing evidence-based guidelines for national human resources policy making, planning and management of HRH [14]. Work is in progress by the EMR regional office; its efforts are...

Ngày tải lên: 18/06/2014, 17:20

... responsible for human resource management in the health facilities. The doctor is appointed by the head of the policlinic, and the head of the policlinic is appointed by the Ministry of Property Management. ... having to continually access upper levels of management [16]. Managers linked their lack of authority to their incapacity to penalize poor provider performance. Planning and human resource management ... worker motivation; innovative ways to increase salaries of health workers in resource- constrained settings should be con- sidered, one of which includes government prioritization of certain key sectors for...

Ngày tải lên: 18/06/2014, 17:20

... Wiering et al., “Intelligent traffic light control,” Tech. Rep. UU-CS-2004-029, University Utrecht, 2004. [14] M. Wiering, “Multi-agent reinforcement learning for traffic light control,” in Proceedings ... of Transportation Engineering, vol. 129, no. 3, pp. 278–285, 2003. [12] S. Mikami and Y. Kakazu, “Genetic reinforcement learning for cooperative traffic signal control,” in Proceedings of the 1st IEEE Conference ... Advances in Signal Processing They predicted each car’s total expected waiting time until it arrived its destination given possible choices of related traffic lights using reinforcement learning, and...

Ngày tải lên: 21/06/2014, 08:20

... 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 request to all these sensor nodes. Each node sends a reply including its current profile (containing HW/SW info). This profile is taken as input for the following ... Lab scenario In our lab, we use the Robertino robot platform developed at the Fraunhofer Institute AIS 2 running embedded Linux and Mica2 sensor motes developed at UCB running TinyOS. 3 We have...

Ngày tải lên: 22/06/2014, 22:20

Ngày tải lên: 22/06/2014, 22:20