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A Novel Genetic Algorithm for Adaptive Resource Allocation in MIMO-OFDM Systems with Proportional Rate Constraint

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Abstract

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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Authors and Affiliations

  1. Department of EEE & I, BITS Pilani Goa campus, Mormugao, India

    Nitin Sharma & K. R. Anupama

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  1. Nitin Sharma
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  2. K. R. Anupama
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Correspondence to Nitin Sharma.

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Sharma, N., Anupama, K.R. A Novel Genetic Algorithm for Adaptive Resource Allocation in MIMO-OFDM Systems with Proportional Rate Constraint. Wireless Pers Commun 61, 113–128 (2011). https://doi.org/10.1007/s11277-010-0013-9

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  • DOI: https://doi.org/10.1007/s11277-010-0013-9

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