The allocation of spectrum resources efficiently and equitably in dynamic cognitive vehicular
networks is more challenging than static cognitive networks. Currently, most spectrum …

To solve the problem of low throughput and fairness in cognitive vehicular networks, we
establish a multi-objective spectrum allocation model to maximize the average throughput …

In a multi-heterogeneous network dense deployment and convergence environment, the
cognitive radio technology dynamically utilizes the idle spectrum resources of each primary …

To cope up with drastically increasing demand for radio resources lead to raise a challenge
to the wireless community. The limited radio spectrum and fixed spectrum allocation strategy …

In the existing literature the forced termination probability is analyzed after the completion of
spectrum allocation (SA) process. Since the forced termination probability depends on the …

In order to effectively solve the discrete optimization problem of cognitive radio network
spectrum allocation, a new binary adaptive cuckoo search (BACS) algorithm is proposed …

Cognitive Radio is a promising technology for addressing the spectrum scarce since the
growing number of wireless applications. Most of recent researches about spectrum …

In order to solve discrete multi-objective optimization problems, a non-dominated sorting
quantum particle swarm optimization (NSQPSO) based on non-dominated sorting and …

Cognitive radio technology has been proposed to improve the spectrum efficiency by letting
the cognitive radios act as cognitive users to opportunistically access underutilized …

In this paper, we discuss the joint improvement of the energy efficiency (EE) and the
spectrum efficiency (SE) in OFDM-based cognitive radio (CR) networks. A multi-objective …