QoS optimization‐based dynamic secondary spectrum access model

Abstract

AbstractCognitive radio (CR) is believed to be the future communication technology that provides the solution to the radio spectrum scarcity problem. Quality of service (QoS) and secondary radio spectrum pricing are two important aspects of the ongoing research on CR. The primary users (PUs) have guaranteed QoS while the secondary users (SUs) can make only opportunistic access to the radio spectrum. The SUs coexist with the PUs on a noninterfering basis and must vacate the bands under their use, if required by the PUs. Good QoS can be exercised by an allocation of whitespaces with QoS appropriate to the SUs that minimize the mobility probability. If the pricing issues are not addressed properly, they may result in economic viability challenges and/or pose existential threats to the CR technology. This research proposes a QoS optimization‐based dynamic secondary spectrum access model using genetic algorithm along with a pricing and a payment methodology for the sales to secondary spectrum markets. The trade‐off between the spectrum allocation and the economic parameters for the secondary radio spectrum trade is considered. An extensive simulation is created to analyze the QoS optimization and pricing for the secondary radio spectrum trade. The results indicate that the profitability and sales in the secondary spectrum market are based on the fitness of the offered QoS with respect to that requested by the SUs. An increase in the QoS provided to the SUs is realized at the cost of a slight increase in the unit cost of the secondary spectrum.