In wireless networks, it is important to guarantee the energy efficiency and receiver fairness for satisfying service provider and customer at the same time. In this paper, we propose a resource allocation algorithm which improves energy efficiency as well as receiver fairness based on optimization techniques. In the proposed algorithm, subchannel and power are allocated to receivers iteratively in the consideration of channel state information, amount of dissipated power, and receiver rate, in order to improve energy efficiency and receiver fairness. Through simulation, we show the effectiveness and superiority of the proposed algorithm in terms of energy efficiency and receiver fairness.
This paper proposes a novel alignment-free sequence comparison method to identify the genetic relationships of organisms with a high resolution. For an accurate comparison, both frequency and position information of k-words are obtained from genome sequences in the proposed alignment-free sequence comparison method. Using principal component analysis (PCA) and phylogeny analysis, we identify the classification performance of proposed method. Then, the phylogenetic trees of proposed and conventional schemes are compared with reliable reference tree.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.