Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
This letter proposes a novel framework for designing photonic crystal waveguides (PCWs), in which three components optimize and analyze the structure of PCWs. The proposed components are a multi-objective formulator, a multi-objective optimizer, and a multi-objective analyzer. A ring-shaped hole PCW is chosen as the case study, but the proposed framework is applicable to designing any kind of PCW...
The goal of this paper is to minimize service disruption, a unique phenomenon in peer-to-peer (P2P) streaming system and the major contributing factor to degrade user experience. In order to improve its streaming quality and stability, a P2P system should select peers with abundant bandwidth resource and prospect longevity as the parents of other peers. Towards this end, we propose PRW (peer resilient...
In this paper, we propose a tree-based adaptive broadcasting (TAB) algorithm for data dissemination to improve data access efficiency in vehicle communications. The proposed TAB algorithm first constructs a broadcast tree to determine the broadcast frequency of each data, and splits the broadcast tree into some broadcast wood to generate the broadcast program. In addition, this paper develops an analytical...
In this paper we analyze various user assignment and scheduling policies for neigbouring femtocell networks. The trade-off between capacity maximization and fairness is investigated and a combined user assignment and proportional fair (PF) scheduling procedure for a femtocell gateway is proposed. The flexibility of the proposed architecture in terms of capacity and fairness is studied via various...
In this paper we propose the optimization of sparse matrix-vector multiplication (SpMV) with CUDA based on matrix bandwidth/profile reduction techniques. Computational time required to access dense vector is decoupled from SpMV computation. By reducing the matrix profile, the time required to access dense vector is reduced by 17% (for SP) and 24% (for DP). Reduced matrix bandwidth enables column index...
We consider a context where the available resources of the Intranet of a company are used as a virtual cluster for scientific computation, during the idle periods (nights, weekends, holidays, ). Generally, these idle periods do not permit to carry out completely the computations. For instance, a workstation mobilized during the night must be released in the morning to make it available for the employee,...
Cognitive radio (CR) has the potential to substantially improve the system capacity and adaptability of wireless mesh network (WMN). In this paper we investigate the achievable performance gain of cognitive wireless mesh network (CWMN), in which all nodes are equipped with CRs, by jointly optimizing spectrum allocation, routing and time scheduling. The formulated optimization problem aims to minimize...
Wireless mesh networks (WMNs) have been drawing significant attention due to their support for low cost broadband wireless Internet access. Despite extensive deployments in recent years, the 802.11 based wireless mesh networks suffer from unfairness attributed to the lack of adequate support for multihop communications. Most existing solutions focus on hard fairness by investigating fairness without...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.