Hazem Shatila

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This paper proposes a cognitive radio approach for WiMAX (CogMAX). The proposed system has all the capabilities of cognitive radio from monitoring to action, decision and learning. We use fuzzy logic (FL) reasoning as the core of the reasoning engine. The reasoning engine is used to determine different parameters that will be used by the WiMAX system. This(More)
In this paper we propose a cognitive radio approach for WiMAX systems called CogMAX. The proposed system has all the capabilities of cognitive radio from monitoring to action decision and learning. We used case-based reasoning (CBR) and fuzzy logic (FL) reasoning as the core of the reasoning engine. The reasoning engine designed is used to determine the(More)
Adapting resource management, for vague environments, in wireless communication proved to be a measure point of research recently. In this paper we present a system that is capable of adapting some important resources (type of modulation, code rate and number of subcarriers) for blurred channel conditions. The system in this work is mainly designed for(More)
Adaptive modulation and coding (AMC) schemes are used in WiMAX. Higher system throughput using higher order modulation is traded for higher output. In WiMAX higher modulation tends to be used close to the base station whereas lower order modulations tends to be used at longer range. The dependency of distance might sometimes be deceiving, as channel(More)
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