In this study, the problem of determining the power allocation that maximises the energy
efficiency of cognitive radio network is investigated as a constrained fractional programming …

Cognitive radio (CR) is fast emerging as a promising technology that can meet the machine-
to machine (M2M) communication requirements for spectrum utilization and power control …

Parameter adjustment that maximizes the energy efficiency of cognitive radio networks is
studied in this paper where it can be investigated as a complex discrete optimization …

Machine-to-machine (M2M) communications can effectively utilize cognitive radio (CR) to
coexist with cellular users in what is known as cognitive M2M (CM2M) communications. In …

With the emergence of the Internet-of-Things (IoT), communication networks have evolved
toward autonomous networks of intelligent devices capable of communicating without direct …

The use of sharing channel simultaneously has become the trend in telecommunication
technology particularly in network with distributed users as the allocation of frequency …

Green cognitive radio has attracted significant research attention as an effective means of
alleviating spectrum scarcity and energy-saving problem in wireless communications. In this …

The traditional ways of spectrum management is inefficient as large portions of useable
spectrum is left idle most periods of the day hence the call for more dynamic spectrum …

In this study, the problem of determining the power allocation that maximizes the energy
efficiency of cognitive radio network is investigated using differential evolution algorithm with …

Dynamic user in mobile communication encourages the implementation of self-organized
and noncooperative distributed power control. To be implemented, the power control must …