Power allocation strategy for NOMA and CR networks based on modern control theory
DOI:
https://doi.org/10.54097/jceim.v11i2.11752Keywords:
Cognitive radio, Non-orthogonal multiple access, Control theory, Power allocation, Energy efficiencyAbstract
Non-orthogonal multiple access (NOMA) and cognitive radio (CR) technologies are the two most promising techniques to improve spectral efficiency for the next-generation mobile communication system. For the CR-NOMA network, we propose a new power allocation to maximize the energy efficiency of secondary users (SUs) without deteriorating the quality of service (QoS) of the primary users (PUs). The traditional power control is transformed into the power control problem of NOMA and CR based on the control theory through the linear quadratic optimal regulator (LQR) method. First, we build a CR-NOMA network. Then the modern control theory is based on the state space method, the state space description must be used as a mathematical model in this process. The control theory is used to dynamically adjust the transmission power of SUs, find the optimal transmission power, and compare its energy efficiency with other algorithms. The simulation results show that the system performance of the proposed algorithm is better than the genetic algorithm and FTPC algorithm.
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