الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
A promising approach to the cellular networks of the future is non-orthogonal multiple access (NOMA). NOMA uses the different channel gains of users to multiplex various signals in a single resource block (time, frequency, or code) in the power domain, as opposed to classical orthogonal multiple access (OMA) techniques. Higher spectral efficiency, better user fairness, better cell-edge throughput, improved dependability and connection, and minimal latency are the results of this. Further enhanced performance are anticipated as a result of the adaptable pairing of NOMA with simultaneous wireless information and power transfer (SWIPT). This work investigates the joint power allocation, and user pairing problem in a cooperative-NOMA (CNOMA) with simultaneous wireless power and information transfer (SWIPT) capabilities. the purpose of this optimization problem is to maximize the sum-rate of the users with poor channel conditions while guaranteeing residual energy for the paired users with better channel conditions as compensation for their cooperation. To overcome this challenge, we divided it into two parts: power allocation (PA) and user pairing (UP). The particle swarm optimization (PSO) method is utilized to solve the PA issue, whereas the stable matching (SM) algorithm is employed to solve the UP problem. To optimize the sum rate of far and near users, an algorithm for power allocation and user pairing is developed. The particle swarm optimization algorithm is used to assign the appropriate transmission power and power splitting factor to each user. Finally, using a one-to-one stable matching algorithm, the best user-pair is chosen.