A power allocation algorithm based on artificial fish swarm algorithm for cognitive radio networks based on interference alignment
Kai Guo, Runhe Qiu, Caixia Cai · 2017
In order to improve the overall quality of service (QoS) of cognitive radio network based on interference alignment (IA), an optimal power allocation algorithm based on artificial fish swarm algorithm is proposed in this paper. The algorithm uses artificial fish swarm algorithm to allocate the power of each user reasonably, so as to achieve the minimum average interruption probability of secondary user (SU). In order to ensure the communication quality of primary user (PU), this paper also proposes a minimum power threshold, the setting of this threshold ensures both the communication rate of PU and the outage probability of PU, and effectively guarantee the requirement for communication quality of PU. The simulation results also show that the proposed algorithm can effectively improve the overall communication quality of the system and minimize the average outage probability of the SU.