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 paper develops a computationally efficient method to evaluate the competitive performance of multiple spectrum access strategies when they coexist and compete with each other in a heterogeneous cognitive radio network (CRN).We use aMarkov Model Bank (MMB) to model the operations of the heterogeneous CRN. Various spectrum sensing errors, spectrum sensing strategies, and spectrum access strategies...
The competitive coexistence of a large number of secondary users in heterogeneous cognitive radio networks (CRN) is a challenging issue. In this paper, we address this issue by developing an efficient approach to analyze the competition among the secondary users. Based on the Markov model bank that we developed recently, we can change the evaluation of the secondary user throughput into studying a...
In this paper, we develop a Markov Model Bank (MMB) to analyze the heterogeneous cognitive radio networks (CRN) with a large number of dissimilar secondary users (SU) coexisting and competing for multiple dissimilar channels. The MMB consists of a separate Markov chain for each SU. The Markov chains are connected implicitly by a few state transitional probabilities that can be derived by analyzing...
In this paper, we propose an analysis framework for the performance of heterogeneous cognitive radio networks with multiple different secondary users (SU) coexisting and competing for spectrum access. In order to model the operation of different SUs in a feasible manner, we use a bank of Markov models, where each SU is modeled by a separate Markov model. The individual Markov models are connected...
In this paper, we propose a method to calculate the throughput of multiple uncooperative cognitive radio users. We use a bank of Markov models to derive the fraction of time that each user spends in successful channel access. The mutual interference among the users is modeled into the transitional probabilities of the Markov models, which makes it tractable to calculate multiple user throughput in...
In this paper we give closed-form analysis results of the jamming probabilities and throughput of cognitive radio transmissions when facing a wideband jammer. We first set up a Markov model of the cognitive radio transmissions which consists of three states: spectrum sensing, channel access, and channel switching. The jamming probabilities of the three states are derived under the assumption of a...
In this paper, we study both the jamming capability of the cognitive-radio-based jammers and the anti-jamming capability of the cognitive radio networks (CRN), by considering multiple uncooperative jammers and independent Rayleigh flat-fading propagations. A Markov model of CRN transmission is set up for the cross-layer analysis of the anti-jamming performance. The transitional probabilities are derived...
In this paper, we study both the jamming capability of the cognitive-radio-based jammers and the anti-jamming capability of the cognitive radio networks. We first setup the models of cognitive-radio-based jammers and the cognitive radio network transmissions. We then analyze various jamming attack strategies where the jammer spends various powers in order to jam various transmission slots of the cognitive...
We create a new blind equalization method with both batch and adaptive algorithms developed for OFDM systems with insufficient cyclic prefix. Special correlation property of cyclic prefix is exploited for constraint estimation. Then constrained minimum-output-energy (MOE) optimization is applied for blind equalizer estimation. Using shorter cyclic prefix, we can either reduce block size for low complexity...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.