In contrast to the traditional markers, NLR may serve as a less expensive and effective measure of inflammation in RA. Its efficacy is comparable to that of CRP and it is not impacted by the cytokines influencing CRP and ESR.

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This paper considers base station allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality among user data rates in Multiple Input Multiple Output Orthogonal Frequency Division Multiple access (MIMO-OFDMA) system. Previous allocation methods have been iterative nonlinear methods suitable for offline optimization. The subcarrier allocation is tackled using a novel algorithm which combines the aspects of both deterministic and Genetic Algorithms (GA). This modified GA gave very encouraging results as can be seen from the simulation results shown. The simulation results show a marked improvement in the performance of the algorithm as the number of users increase. The capacity attained from the subcarrier allocation scheme generated by our algorithm is found to be comparable to that attained by previous algorithms.

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