Authors : Swati Rawat, Ingrid Beyer, Christine G�nther, Anna Kramer and Erika Siebert-Cole
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is the new facet of wireless modulation technique. The core strength of this technology lies in effectively good spectral efficiency and tolerance to fading. It appears to be the best-suited modulation technique to harness the ever growing data needs in a wireless network. The QoS (Quality of Service) enabled routing process is a complex set of optimizing features on which quality of data transmission in a wireless network depends while there are certain dynamic changes taking place in channel conditions invariably. The traffic matrix exhibits the frequently changing data traffic requirements in a heterogeneous network. The objective of this paper is to come up with a routing strategy that puts QoS constraints and metrics in focus while evaluating the performance of a routing technique in OFDM wireless network. The traffic matrix is displaying the data connections which are provided to users on their respective QoS demands. This study introduces GA based approach to enhance the QoS routing performance which seems to be an open question as strong data network requirements are growing exponentially. The proposed approach works in two steps starting with improved traffic population and routes by applying Genetic algorithm techniques and later considering QoS constraints to evaluate the performance of routing strategy. GA induced QoS routing approach yields improved results for data routing in OFDM wireless networks.
Swati Rawat, Ingrid Beyer, Christine G�nther, Anna Kramer and Erika Siebert-Cole, 2020. GA Induced QoS Routing Approach in OFDM Wireless Network. International Journal of Soft Computing, 15: 70-77.