An Energy Efficiency-Based Method for Recalcitrant Resource Allocation in Cognitive Noma Networks

Abstract

The invention claims to protect an energy efficiency-based cognitive NOMA network robust resource allocation method, which belongs to the technical field of resource allocation in wireless networks. In view of the inherent randomness of the wireless communication system channel, the influence of channel parameter perturbation is introduced, and the constraints of secondary user transmit power, interference based on outage probability and minimum data rate are considered, and the total energy efficiency of the secondary user network is used as the objective function to establish multiple constraints The following fractional programming problem. First, using continuous convex approximation and parameter transformation, the original probability-constrained non-convex problem is transformed into a closed geometric programming problem, and then the Dinkelbach method and Lagrange dual method are used to obtain the optimal transmission power of the secondary user. Finally, a An iterative-based optimal resource allocation method. The simulation results show that this method has the best robustness compared with some existing methods, and can guarantee good real-time performance at the same time.

Description

technical field [0001] The invention belongs to the technical field of wireless network resource allocation, and in particular relates to a robust resource allocation method based on user outage probability in a cognitive NOMA wireless network. Background technique [0002] With the rapid growth of the number of mobile wireless users and the increasing variety of wireless network applications in recent years, higher requirements are placed on the spectrum efficiency, capacity, and user experience of the network. Therefore, the non-orthogonal multiple access (NOMA) technology emerges at the historic moment and is considered to be one of the key technologies of the next generation wireless communication system. Different from Orthogonal Multiple Access technology, one subchannel can only be occupied by one user, multiple users in NOMA can effectively use all available spectrum resources by allocating different transmission power levels. Therefore, the NOMA technology can prov...

AI Technical Summary

Problems solved by technology

The resource allocation problem under the imperfect channel state is compared with the traditional nominal optimization problem. The optimal resource allocation algorithm obtained can make the communication system more robust, and the process of modeling, analysis and solution will be relatively more difficult.

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