Navegando por Assunto "Processos de Markov"

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Acesso aberto (Open Access)
Green-Markov models - new optimization strategies: a case study for user allocation in co-channel macro/femto networks
(2012-12) CARDOSO, Diego Lisboa; SANTANA, Ádamo Lima de; SILVA, Marcelino Silva da; FRANCÊS, Carlos Renato Lisboa; COSTA, João Crisóstomo Weyl Albuquerque; CARVALHO, Solon Venâncio de; VIJAYKUMAR, Nandamudi Lankalapalli
The femtocell concept aims to combine fixed-line broadband access with mobile telephony using the deployment of low-cost, low-power third and fourth generation base stations in the subscribers' homes. While the self-configuration of femtocells is a plus, it can limit the quality of service (QoS) for the users and reduce the efficiency of the network, based on outdated allocation parameters such as signal power level. To this end, this paper presents a proposal for optimized allocation of users on a co-channel macro-femto network, that enable self-configuration and public access, aiming to maximize the quality of service of applications and using more efficiently the available energy, seeking the concept of Green networking. Thus, when the user needs to connect to make a voice or a data call, the mobile phone has to decide which network to connect, using the information of number of connections, the QoS parameters (packet loss and throughput) and the signal power level of each network. For this purpose, the system is modeled as a Markov Decision Process, which is formulated to obtain an optimal policy that can be applied on the mobile phone. The policy created is flexible, allowing different analyzes, and adaptive to the specific characteristics defined by the telephone company. The results show that compared to traditional QoS approaches, the policy proposed here can improve energy efficiency by up to 10%.
Acesso aberto (Open Access)
Processo markoviano de decisão para alocação dinâmica de recursos e controle de admissão de conexão em redes IEEE 802.16
(Universidade Federal do Pará, 2010-02-08) LEAL, Cynthia Feitosa; CARVALHO, Solon Venâncio de; http://lattes.cnpq.br/3368137994024629; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/9622051867672434
This work presents a solution to the problem of connection admission control and dynamic resource allocation in IEEE 802.16 networks by modeling a Markov Decision Process (MDP) using the concept of bandwidth degradation, which is based on different bandwidth requirements of IEEE 802.16 service classes. In oder to test the performance of the MDP, different returns for each class of service are allocated, thus making the differential treatment of each service classes. Therefore, it is possible to evaluate the optimal policy, obtained through a value iteration algorithm, considering aspects such as the service classes average adjustment, resource utilization and blocking probability in relation to system load. Results obtained show that the Markov control method proposed is able to prioritize service classes considered most relevant to the system.