Abstract: For very long time, finding solutions to problems like Travelling Salesmen Problem, Multiple Knapsack Problems, scheduling in heterogeneous system etc. were considered very tedious task. The solution to such problems was time consuming and requires high end computations. Genetic Algorithm (GA) emerged as an efficient solution and considered as a successful tool to solve such problems for many years. With the passage of time, researchers find GA traps near optimal solution. Therefore, the concept of Quantum computing is merged with GA and known as Quantum Genetic Algorithm (QGA). The evaluation of the performance of proposed model is done over scheduling in distributed computing.

• Publication Date: 27-Aug-2014
• DOI: 10.15224/978-1-63248-024-8-06
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Abstract: This paper presents a design of Cascode LNA using ladder matching network applicable for wireless applications. It’s using the FHX76LP Low Noise SuperHEMT FET transistor. The LNA designed used Ladder-matching network consisting of lump reactive element at the input and the T-matching network at output terminal. The cascode low noise amplifier (LNA) produced gain of 19.23 dB and noise figure (NF) of 1.03 dB. The input reflection (S11) and output return loss (S22) are -15.3 dB and -12.7 dB respectively. The bandwidth of the amplifier recorded is 1.5 GHz. The input sensitivity is compliant with the IEEE 802.16 standards

• Publication Date: 27-Aug-2014
• DOI: 10.15224/978-1-63248-024-8-07
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• Downloads: 0