Nature-inspired optimisation algorithms assisted realisation of green communication via CR: a comparison study

Cognitive radio (CR) technology enables adaptation of transmission parameters according to the operating environment and different quality of service (QoS) requirements. This feature can be applied to realise green radios as recent research trends are focused on improving the energy efficiency of wireless communication systems. A power amplifier (PA) is found to consume a major portion of energy in radio-frequency circuits for medium- and long-range transmissions. Thus, minimising PA power consumption is one of the major challenges to realise green radios. In this study, mathematical formulation of total system power consumption at CR transmitter with Class B PA is shown and its optimisation is done by parameter reconfiguration for data transmission scenario employing recently proposed nature-inspired optimisation techniques. Performance of ant lion optimiser, grasshopper optimisation algorithm, Grey wolf optimiser, Moth-flame optimisation and Whale optimisation algorithm (WOA) is compared for solving this problem in terms of different performance metrics. Simulation results show the effectiveness of WOA in minimising the system power consumption by parameter adaptation in multicarrier CR system while satisfying different QoS constraints.