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<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">Orthogonal Frequency Division Multiplexing is a promising technology for high data rate transmission in wideband wireless systems for achieving high downlink capabilities in the future cellular systems. To minimize the overall transmit power, the genetic algorithm approach was proposed for adaptive subcarrier and bit allocation based on channel state information. This is done by assigning one subcarrier for one user and each user a set of subcarriers and by determining the number of bits and the transmit power level for each subcarrier. The simulation results show that genetic algorithm approach produces better results compared to conventional algorithms in optimum power allocation. The results further conclude that genetic search helps fast convergence and can handle large allocations of subcarriers to users (many subcarriers to one user) without performance degradation.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p>

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Optimum allocation of spectrum and achieving the best revenue is highly desirable for electronic market places. Currently static allocation of spectrum is underutilized. The majority of the researchers are working to achieve optimum allocation and better utilization of the spectrum. Selecting a better part of the spectrum for bidding is equally important part in the market to transfer the information with minimum errors. In this research we used the case-based reasoning (CBR) with automated collaborated filtering (ACF) for selecting the best part of the spectrum with an affordable price and allocate the spectrum through auctions (bidding for spectrum in open market) for better profit. A case-based reasoning algorithm is provided and a mathematical model for ACF is introduced for profit maximization. A genetic algorithm is used for optimum allocation of resource (spectrum).