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We propose a genetic algorithm (GA) based equalization approach for direct sequence ultra-wideband (DS-UWB) wireless communications, where GA is combined with a RAKE receiver to combat the inter-symbol interference (ISI) due to the frequency selective nature of UWB channels for high data rate transmission. Simulation results show that the proposed GA based structure significantly outperforms the RAKE...
We investigate the effects of two different scaling methods and two mutation types on the performance of a genetic algorithm (GA) based equalization approach for direct sequence Ultra-wideband (DS-UWB) wireless communications. Also, we use adaptive generation along with some other parameters to know their effects on the performance in comparison to a previous work, where GA is combined with a RAKE...
In this paper, we propose a receiver-centric channel allocation model in cognitive wireless network. Compared with the traditional transmitter-centric model, it could more accurately formulate the co-channel interference constraint in cognitive wireless network. In addition, the traditional graph-theoretic and game-theoretic channel assignment algorithms in cognitive radio network are extended to...
This letter proposes a novel semi-blind layered space-frequency equalization (LSFE) receiver for single- carrier cyclic-prefix (SC-CP) multiple-input multiple-output (MIMO) systems with block transmission, based on independent component analysis (ICA). Simulation results show that semi- blind LSFE with various Doppler shifts can provide performance close to the case with perfect channel state information...
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