... 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 radioresourcemanagement techniques and
MAC and signaling layer protocols for high-speed wireless-access
networks using OFDMA/CDMA technologies including 3G...
... 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...
... 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....
... 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,...
... 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 inscenarios 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....
... 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 radioresource 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 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 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 forreinforcementlearning 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...
... found in the “Managing Resource Pools” section of the vSphere ResourceManagement Guide [2].
Understanding Memory ResourceManagement
in VMware® ESX™ Server
W H I T E P A P E R
VMware, Inc. ... PAPER
ballooning. 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.
c
2012 Association for Computational Linguistics
Discriminative LearningforJoint Template Filling
Einat Minkov
Information Systems
University of Haifa
Haifa 31905, Israel
einatm@is.haifa.ac.il
Luke ... 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 information
into information extraction...
... Activities
2.1.
2.2.
Unlicensed Band
Licensed Band
3.
Inter-Domain RadioResource 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,...
... 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 managementin 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...
... responsible for human resource
managementin 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 resourcemanagement ... 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...
... Wiering et al., “Intelligent traffic light control,” Tech. Rep.
UU-CS-2004-029, University Utrecht, 2004.
[14] M. Wiering, “Multi-agent reinforcementlearningfor traffic
light control,” in Proceedings ... of
Transportation 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 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...
... 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...