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    Joint cell muting and user scheduling in multicell networks with temporal fairness

    , Article Wireless Communications and Mobile Computing ; Volume 2018 , 2018 ; 15308669 (ISSN) Shahsavari, S ; Akar, N ; Khalaj, B. H ; Sharif University of Technology
    Hindawi Limited  2018
    A semicentralized joint cell muting and user scheduling scheme for interference coordination in a multicell network is proposed under two different temporal fairness criteria. In the proposed scheme, at a decision instant, each base station (BS) in the multicell network employs a cell-level scheduler to nominate one user for each of its inner and outer sections and their available transmission rates to a network-level scheduler which then computes the potential overall transmission rate for each muting pattern. Subsequently, the network-level scheduler selects one pattern to unmute, out of all the available patterns. This decision is shared with all cell-level schedulers which then forward... 

    Statistical design of genetic algorithms for combinatorial optimization problems

    , Article Mathematical Problems in Engineering ; Volume 2011 , 2011 ; 1024123X (ISSN) Shahsavar, M ; Najafi, A. A ; Niaki, S. T. A ; Sharif University of Technology
    Many genetic algorithms (GA) have been applied to solve different NP-complete combinatorial optimization problems so far. The striking point of using GA refers to selecting a combination of appropriate patterns in crossover, mutation, and and so forth and fine tuning of some parameters such as crossover probability, mutation probability, and and so forth. One way to design a robust GA is to select an optimal pattern and then to search for its parameter values using a tuning procedure. This paper addresses a methodology to both optimal pattern selection and the tuning phases by taking advantage of design of experiments and response surface methodology. To show the performances of the proposed... 

    Topological pattern selection in recurrent networks

    , Article Neural Networks ; Volume 31 , 2012 , Pages 22-32 ; 08936080 (ISSN) Bahraini, A ; Abbassian, A ; Sharif University of Technology
    The impact of adding correlation to a population of neurons on the information and the activity of the population is one of the fundamental questions in recent system neuroscience. In this paper, we would like to introduce topology-based correlation at the level of storing patterns in a recurrent network. We then study the effects of topological patterns on the activity and memory capacity of the network. The general aim of the present work is to show how the repertoire of possible stored patterns is determined by the underlying network topology.Two topological probability rules for pattern selection in recurrent network are introduced. The first one selects patterns according to a...