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This paper classifies noisy English Alphabets with the help of Artificial Neural Network. Here a supervised single layer perceptron learning algorithm for the classification of noisy English alphabets has been proposed. The presented algorithm requires very few number of input neurons for training. The algorithm is capable of classification of English alphabets for different scenario of noise. Simulation...
Cognitive radio (CR) has emerged as a promising solution to the spectrum scarcity problem, faced by all existing as well as newly proposed wireless services. In cognitive radio network (CRN) spectrum sensing plays the most important role and is considered as an integral part of CR. Among all the spectrum sensing schemes proposed in literature energy detection (ED) is commonly adopted due to its low...
Performance of a cooperative spectrum sensing with the help of a multi antenna based cognitive relay (CR) is analyzed in this paper. A cognitive coordinator (CC) equipped with an energy detector makes a final decision regarding primary user (PU) with the help of a cognitive relay. The cognitive relay employs maximal ratio combining (MRC) on the signals received from PU via multiple receiving antenna...
Channel capacity has been greatest challenge for the researchers in the field of wireless communication. Capacity analysis and its improvement have been proposed under various scenarios. However, most of them are based on conventional PDF based techniques, some times which render very complex analysis. Analysis becomes more difficult when diversity combining is used for performance improvement. Keeping...
An interference coordination well suited to OFDMA based wireless network in which cells are divided into special region with various frequency reuse factors, is termed as Fractional Frequency Reuse (FFR). This research focuses on the concept as well working of FFR in Hexagonal geometrical structure for systematic frame work and evaluation. The scheme includes the extensive literature review of both...
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