Application of Genetic and Greedy Algorithms for Power Efficiency in Adaptive Sub-channel and Bit Allocation

Energy consumption has attracted significant attention by the research community in response to the green initiatives pertaining to electronic equipment and devices. This is especially applicable to wireless environments since the trend of adopting wireless technologies is on the increase. Hence, in this paper we suggest a method for wireless communications to minimize the total power required for transmission. The method considers sub-channel and bit allocation in orthogonal frequency division multiplexing systems for a multiuser scenario. The problem is addressed by exploiting genetic and greedy algorithms mutually to attain minimum power allocation among several users. Through simulation, the proposed method is shown to outperform static allocation methods with an average of 37.20% less required power. It is also shown that the more required bitrate by users the more power saving is achieved.