PSO-Adaptive Power Allocation for Multiuser GFDM-Based Cognitive Radio Networks

Due to the scarcity of the available spectrum bands spectrum, increasing demand caused by emerging wireless applications for mobile users. Therefore, the need for a new paradigm to exploit the unutilized spectrum bands of already licensed bands is required. Cognitive Radio (CR) was proposed for enhancing the utilization of the radio frequency (RF) spectrum. Orthogonal Frequency Division Multiplexing (OFDM) was the promising technique for CR systems because of its functionality and flexibility for dynamic resource allocation. But, for 5th generation, OFDM has many problems such as its large PAPR, large amount of Out-Of-Band Radiation (OOB) and spectrum inefficiency due to the overhead of cyclic prefix (CP). Generalized Frequency Division Multiplexing (GFDM) in a non-orthogonal, filter bank based, digital multi-carrier transmission scheme was proposed for overcoming these problems due to its attractive features that addressed the requirements of increased communication systems applications such as Cognitive radio. In this paper, a proposed power allocation technique for downlink GFDM cognitive radio based on Particle Swarm Algorithm (PSO) will be suggested. Moreover, analysis for this will be presented. Further, Comparisons between the proposed Technique and other optimizations techniques will be investigated. Simulation results show that the proposed technique for GFDM systems gives better performance compared to dual optimal Lagrange method.